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Stanford University

Deep Learning - Adversarial Attacks and GANs - Lecture 4

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Explore adversarial attacks and Generative Adversarial Networks (GANs) in deep learning. Learn from Stanford experts about these advanced techniques and their applications in AI.
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1 Lesons
1 hour 23 minutes
On-Demand
Free-Video
University of Melbourne

Getting Robust - Securing Neural Networks Against Adversarial Attacks

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Explore adversarial attacks on machine learning, their impact, and defense strategies. Learn to incorporate adversarial considerations in research and development for more robust AI systems.
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23 Lesons
49 minutes
On-Demand
Free-Video
New York University (NYU)

IC Layout Security - Hardening Integrated Circuit Designs Against Adversaries

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Explore IC layout security: proactive design hardening against adversarial activities in complex supply chains. Learn challenges, strategies, and implications for modern electronics.
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8 Lesons
25 minutes
On-Demand
Free-Video
University of Central Florida

Trust Region Based Adversarial Attack on Neural Networks

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Explore trust region optimization for adversarial attacks on neural networks, covering various attack methods and their applications in computer vision and object detection.
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28 Lesons
32 minutes
On-Demand
Free-Video
University of Central Florida

Adaptive Attacks to Adversarial Example Defenses - CAP6412 Spring 2021

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Explore adaptive attacks on adversarial example defenses, covering expectation over transformation, K winners take all, chaos partitioning, and local gradient estimation.
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16 Lesons
25 minutes
On-Demand
Free-Video
University of Central Florida

Explaining and Harnessing Adversarial Examples in Machine Learning - Spring 2021

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Explore adversarial examples in machine learning, their impact on linear and non-linear models, and techniques like adversarial training to improve model robustness and generalization.
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22 Lesons
27 minutes
On-Demand
Free-Video
University of Central Florida

Intriguing Properties of Neural Networks - Spring 2021

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Explore intriguing properties of neural networks, including adversarial attacks, transfer, training overlap, and semantic information in units. Analyze weaknesses and spectral instability.
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9 Lesons
29 minutes
On-Demand
Free-Video
University of Central Florida

Introduction to Adversarial Attacks in Machine Learning - Lecture 1

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Introduction to adversarial attacks on AI systems, covering real-world examples, attack methods, and defense strategies for various applications like face recognition and object detection.
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23 Lesons
54 minutes
On-Demand
Free-Video
University of Central Florida

Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior - Spring 2021

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Explore video adversarial attacks using the Motion-Excited Sampler technique, covering problem formulation, methodology, gradient estimation, and results analysis.
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19 Lesons
24 minutes
On-Demand
Free-Video
University of Central Florida

Computer Vision - Adversarial Attacks and Deepfool Algorithm - Lecture 1

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Explore DeepFool algorithm for generating adversarial examples in deep neural networks, covering linearization, multiclass classification, and experimental results.
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9 Lesons
20 minutes
On-Demand
Free-Video
University of Central Florida

Evaluating Neural Network Robustness - Targeted Attacks and Defenses

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Explore neural network robustness evaluation, including targeted attacks, metrics, and defense strategies. Learn about FGS, SMA, and new approaches for assessing and improving AI system security.
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13 Lesons
20 minutes
On-Demand
Free-Video
University of Central Florida

Towards Deep Learning Models Resistant to Adversarial Attacks - CAP6412 Spring 2021

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Explore strategies for developing robust deep learning models that can withstand adversarial attacks, focusing on minmax functions, saddle points, and experimental results.
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11 Lesons
30 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

MLSecOps and Shift-Left Security in Machine Learning Model Lifecycle

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Learn to integrate security into machine learning model lifecycles using MLSecOps. Explore shift-left security practices, address vulnerabilities early, and implement effective risk management in ML projects.
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1 Lesons
47 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Security Audits for Machine Learning Attacks

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Explore common machine learning security attacks and learn effective remediation strategies to protect your models from harmful outcomes and data exposure. Enhance your organization's security practices.
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1 Lesons
42 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

The Journey of Building a Leading Open Source LLM Security Toolkit

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Explore the development of LLM Guard, an open-source toolkit for securing LLM applications in production. Learn about challenges, solutions, and real-world implementations for confident LLM deployment.
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1 Lesons
32 minutes
On-Demand
Free-Video
Cloud Security Alliance

Building AI Security In - MLSecOps in Practice

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Learn to secure AI and ML systems by integrating security into the Machine Learning lifecycle, leveraging DevSecOps principles to create a robust MLSecOps framework.
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1 Lesons
30 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Multi-granular Adversarial Attacks Against Black-box Neural Ranking Models - Lecture 1

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Explore multi-granular adversarial attacks on black-box neural ranking models in information retrieval, examining vulnerabilities and potential defense strategies.
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1 Lesons
12 minutes
On-Demand
Free-Video
Simons Institute

Robust Generalization in the Era of LLMs - Jailbreaking Attacks and Defenses

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Explore jailbreaking attacks on LLMs, their vulnerabilities, and defense strategies. Gain insights into robust generalization and evaluation methods for production language models.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Alexander Amini

MIT 6.S191 - Deep Learning Limitations and New Frontiers

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Explore deep learning limitations, adversarial attacks, uncertainty quantification, and AutoML in this lecture. Gain insights into neural network challenges and emerging frontiers in AI research.
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24 Lesons
36 minutes
On-Demand
Free-Video
Alexander Amini

Deep Learning Limitations and New Frontiers

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Explore deep learning limitations, new frontiers, and advancements in AI, including uncertainty estimation, adversarial attacks, and meta-learning, with insights on future developments and applications.
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21 Lesons
32 minutes
On-Demand
Free-Video
Simons Institute

Defense Against Prompt Injection Attacks in LLM-Integrated Applications

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Explore effective strategies for securing LLM applications against prompt injection attacks through structured queries and specialized instruction tuning techniques.
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1 Lesons
43 minutes
On-Demand
Free-Video
Simons Institute

Mitigating Backdoors in Machine Learning Models - Security and Defense Strategies

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Explore techniques for defending against undetectable backdoors in machine learning systems through black-box mitigation strategies, focusing on binary classification and regression models.
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1 Lesons
54 minutes
On-Demand
Free-Video
Simons Institute

Scalable Extraction of Training Data from Production Language Models

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Explore techniques for extracting training data from language models, focusing on breaking alignment mechanisms and understanding privacy implications in AI systems.
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1 Lesons
49 minutes
On-Demand
Free-Video
DevSecCon

Securing AI Systems in Real-World Deployments

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Explore critical security challenges and defensive strategies for deploying AI systems in production, including insights from running the world's largest AI Red Team and handling emerging threats.
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1 Lesons
15 minutes
On-Demand
Free-Video
Yannic Kilcher

How Apple Scans Your Phone and How to Evade It - NeuralHash CSAM Detection Algorithm Explained

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Detailed exploration of Apple's CSAM detection system, analyzing its technical aspects, privacy measures, and potential weaknesses. Covers NeuralHash, private set intersection, and threshold secret sharing.
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10 Lesons
51 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Privacy and Security of Large Language Models - Risks and Mitigation

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Explore security and privacy risks of large language models, including data leaks and adversarial attacks. Learn mitigation strategies and ethical considerations for AI development.
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1 Lesons
28 minutes
On-Demand
Free-Video
RSA Conference

Creating an AI Security and Incident Response Team

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Learn to establish and operate an AI Security and Incident Response Team (AISIRT) to address AI/ML system issues, detect problems, and differentiate between various threats.
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1 Lesons
46 minutes
On-Demand
Free-Video
Conf42

DevSecOps for AI: Introducing MLSecOps for Software 2.0

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Explore MLSecOps for AI-driven software development, addressing security challenges and best practices in the evolving landscape of Software 2.0.
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2 Lesons
42 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

ShellTorch - The Next Evolution in *4Shell Executions

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Uncover ShellTorch vulnerabilities in TorchServe, enabling remote code execution and AI model manipulation. Learn about the high-severity exploit's impact on PyTorch ecosystem and essential mitigation strategies.
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1 Lesons
33 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Invisible Infiltration of AI Supply Chains: Protective Measures from Adversarial Actors

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Explore protective measures against adversarial actors infiltrating AI supply chains. Learn to secure data, models, and pipelines, implement security controls, and mitigate risks in AI systems.
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1 Lesons
34 minutes
On-Demand
Free-Video
BSidesLV

Security for AI Basics - Unconventional Strategies and Humor

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Explore unconventional AI security strategies through humorous scenarios, from dancing self-driving cars to gossiping chatbots, in this entertaining and informative 101 talk.
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1 Lesons
42 minutes
On-Demand
Free-Video
BSidesLV

DoH Deception: Evading ML-Based Tunnel Detection with Black-Box Attack Techniques

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Explore vulnerabilities in ML models for DoH tunnel detection, demonstrating successful evasion techniques and highlighting critical features to avoid in model development.
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1 Lesons
42 minutes
On-Demand
Free-Video
WEareTROOPERS

Considerations on AI Security

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Explore key considerations for AI security in this TROOPERS24 conference talk, covering potential risks, vulnerabilities, and strategies for safeguarding AI systems.
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1 Lesons
58 minutes
On-Demand
Free-Video
DevSecCon

OWASP LLM Top 10 - Understanding Critical Security Risks for Large Language Models

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Explore OWASP LLM Top 10: Gain insights into critical security risks, learn practical steps to fortify applications, and stay ahead in cybersecurity with expert R Nagarjun.
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1 Lesons
29 minutes
On-Demand
Free-Video
Snorkel AI

Generating Synthetic Tabular Data that is Differentially Private

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Explore approaches to applying differential privacy in generating synthetic tabular data, including measuring low-dimensional distributions and learning graphical model representations for enhanced data privacy.
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1 Lesons
27 minutes
On-Demand
Free-Video
Linux Foundation

Poisoned Pickles Make You Ill - Securing Machine Learning Model Serialization

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Explore the security risks of using pickle for ML model serialization and learn strategies to protect against poisoned pickles in data science pipelines.
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1 Lesons
32 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Securing Jupyter Notebooks with KubeArmor

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Learn to enhance security for Jupyter Notebooks using KubeArmor, exploring advanced protection techniques for cloud-native environments and data science workflows.
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1 Lesons
31 minutes
On-Demand
Free-Video
Linux Foundation

MLSecOps with Automated Online and Offline ML Model Evaluations on Kubernetes

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Explore automated ML model evaluations on Kubernetes, focusing on MLSecOps practices for enhanced security and efficiency in both online and offline scenarios.
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1 Lesons
40 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Untargeted Adversarial Attack on Knowledge Graph Embeddings

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Explore advanced techniques for executing untargeted adversarial attacks on knowledge graph embeddings, focusing on privacy and security implications in federated learning environments.
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1 Lesons
11 minutes
On-Demand
Free-Video
Data Science Conference

Adversarial Attacks in Deep Neural Networks - Understanding Vulnerabilities and Countermeasures

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Explore the world of adversarial attacks in Machine Learning, understanding how malicious inputs can deceive Deep Neural Networks and the ongoing challenges in developing effective defenses.
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1 Lesons
21 minutes
On-Demand
Free-Video
AI Doctoral Academy

Trustworthy AI and Cybersecurity Perspectives on Large Language Models - Lecture 32

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Explore cybersecurity challenges and trustworthiness concerns in Large Language Models through expert insights on risk assessment, safety measures, and ethical AI development practices.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
The Full Stack

Computer Vision Applications - Full Stack Deep Learning - Spring 2021

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Comprehensive overview of deep learning applications in computer vision, covering ConvNet architectures, detection methods, and advanced tasks like 3D shape inference and style transfer.
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14 Lesons
43 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Socially Responsible Machine Learning: Security, Robustness, and Beyond

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Explore socially responsible machine learning, focusing on security and robustness. Discover methods to enhance adversarial robustness and address challenges in the era of foundational models.
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19 Lesons
58 minutes
On-Demand
Free-Video
ACM SIGPLAN

Deep Learning Robustness Verification for Few-Pixel Attacks

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Explore a novel L0 robustness verifier for neural networks, addressing few-pixel attacks through dynamic programming, sampling, and covering designs to enhance verification efficiency.
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1 Lesons
18 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2021 - Adversarial Methods

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Explore generative adversarial networks, adversarial feature learning, and adversarial attacks in NLP. Learn cutting-edge techniques for robust and domain-invariant neural network models in natural language processing.
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24 Lesons
42 minutes
On-Demand
Free-Video
IEEE

Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems

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Explore innovative techniques for creating universal 3D perturbations to challenge and test the robustness of video recognition systems in black-box attack scenarios.
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16 Lesons
16 minutes
On-Demand
Free-Video
IEEE

On the Robustness of Deep K-Nearest Neighbors

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Explore the robustness of Deep k-Nearest Neighbors against adversarial attacks, proposing a heuristic method to find vulnerabilities in this defense mechanism for deep learning models.
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13 Lesons
16 minutes
On-Demand
Free-Video
IEEE

HopSkipJumpAttack - A Query-Efficient Decision-Based Attack

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Explore a query-efficient decision-based adversarial attack algorithm for generating adversarial examples, analyzing its theoretical foundations and performance against defense mechanisms.
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24 Lesons
17 minutes
On-Demand
Free-Video
Open Data Science

Flawed Machine Learning Security - Alejandro Saucedo

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Explore critical security flaws in ML lifecycle and learn prevention strategies. Gain insights on MLSecOps, challenges in production systems, and OWASP Top 10 for Machine Learning from an industry expert.
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8 Lesons
39 minutes
On-Demand
Free-Video
USENIX Enigma Conference

Building Realistic Machine Learning Systems for Security

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Explore building robust machine learning systems for malware detection, addressing challenges like low false positive rates, polluted data, and realistic adversarial attacks in security applications.
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11 Lesons
19 minutes
On-Demand
Free-Video
USENIX Enigma Conference

Classifiers Under Attack: Evasion Techniques and Defensive Strategies

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Exploring vulnerabilities in machine learning classifiers for security applications, demonstrating evasion techniques, and discussing methods to enhance robustness against adversarial attacks.
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19 Lesons
20 minutes
On-Demand
Free-Video
USENIX Enigma Conference

Adversarial Examples in Machine Learning - Crafting and Defending Against Attacks

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Explore machine learning vulnerabilities, adversarial examples, and their impact on system security. Learn crafting techniques and defenses through practical tutorials and real-world applications.
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12 Lesons
20 minutes
On-Demand
Free-Video
Yannic Kilcher

Manifold Mixup: Better Representations by Interpolating Hidden States

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Explore Manifold Mixup, a regularization technique that improves neural network performance by interpolating hidden representations, leading to smoother decision boundaries and more robust predictions.
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1 Lesons
21 minutes
On-Demand
Free-Video
Launchpad

Towards Deep Learning Models Resistant to Adversarial Attacks

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Explore deep learning model vulnerabilities and defense strategies against adversarial attacks, examining research findings and experimental results.
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11 Lesons
23 minutes
On-Demand
Free-Video
Simons Institute

Lessons Learned from Evaluating the Robustness of Defenses to Adversarial Examples

0 rewiews
Explore robustness of AI defenses against adversarial examples, evaluating threat models and defense strategies to improve security in deep learning systems.
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13 Lesons
46 minutes
On-Demand
Free-Video
Simons Institute

Provable Robustness Beyond Bound Propagation

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Explore adversarial robustness in deep learning, focusing on randomized smoothing as a defense strategy and its theoretical guarantees for certified robustness.
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14 Lesons
48 minutes
On-Demand
Free-Video
Andreas Geiger

Attacking Optical Flow

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Explores adversarial patch attacks on optical flow networks, revealing vulnerabilities in deep learning-based motion estimation crucial for autonomous driving safety.
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22 Lesons
30 minutes
On-Demand
Free-Video
CAE in Cybersecurity Community

Practical Adversarial Attack Against Speech Recognition Platforms

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Explore techniques for adversarial attacks on speech recognition systems, focusing on Amazon Echo and Kodi. Learn about blackbox approaches and philosophical implications.
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13 Lesons
58 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Flawed ML Security: Mitigating Security Vulnerabilities in Data and Machine Learning Infrastructure with MLSecOps

0 rewiews
Explore security vulnerabilities in machine learning infrastructure and learn practical strategies for mitigating risks using MLSecOps. Gain insights on RBAC, encryption, and best practices for robust ML systems.
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1 Lesons
28 minutes
On-Demand
Free-Video
Linux Foundation

Trusted and Responsible AI - Explainability, Adversarial Attacks, Bias, and Fairness

0 rewiews
Explore key aspects of responsible AI: explainability, adversarial challenges, bias mitigation, and fairness. Learn strategies for building trustworthy and ethical AI systems in real-world applications.
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15 Lesons
37 minutes
On-Demand
Free-Video
OWASP Foundation

Security Vulnerabilities in AI Assistant Based Applications

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Explores security vulnerabilities in AI assistants, covering physical attacks, adversarial techniques, and defense strategies. Provides insights for developers and security professionals.
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27 Lesons
48 minutes
On-Demand
Free-Video
OWASP Foundation

Security of Machine Learning Systems

0 rewiews
Explore security challenges in AI and ML systems, including adversarial attacks and MLOps. Learn to apply pen testing skills to ML, with demonstrations on manipulating image recognition and NLP models.
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1 Lesons
53 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Poisoned Pickles - Security Risks and Protections for Serialized ML Models

0 rewiews
Explore the security risks of using pickle for ML model serialization and learn strategies to protect against poisoned pickles in data science pipelines.
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1 Lesons
27 minutes
On-Demand
Free-Video
CAE in Cybersecurity Community

Vulnerability of Machine Learning Algorithms to Adversarial Attacks for Cyber-Physical Power Systems

0 rewiews
Explore vulnerabilities in machine learning algorithms for cyber-physical power systems and learn about potential adversarial attacks and their implications.
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1 Lesons
32 minutes
On-Demand
Free-Video
IEEE

Machine Learning Papers in Virtual Reality - IEEE VR 2022

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Cutting-edge machine learning research in VR, covering topics like stereoscopic photography, adversarial attacks, 360° depth estimation, scanpath generation, autism screening, and projector deblurring.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Linux Foundation

MLSecOps - Automated Online and Offline ML Model Evaluations on Kubernetes

0 rewiews
Explore MLSecOps on Kubernetes: Automate real-time and offline ML model evaluations using KServe, Knative, Apache Kafka, and Trusted-AI tools for enhanced security and monitoring in production environments.
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17 Lesons
32 minutes
On-Demand
Free-Video
Paul G. Allen School

Provably Secure Machine Learning Algorithms - Designing Reliable AI Systems

0 rewiews
Exploring vulnerabilities in machine learning systems and developing provably secure algorithms to defend against statistical attacks in high-dimensional settings and non-convex models.
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1 Lesons
59 minutes
On-Demand
Free-Video
Linux Foundation

Securing ML Workloads with Kubeflow and MLOps - Pwned By Statistics

0 rewiews
Learn to secure machine learning workloads using Kubeflow and MLOps. Explore techniques like model extraction, hidden data attacks, and leakage detection to protect your ML pipelines and models.
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25 Lesons
51 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Shadow Vulnerabilities in AI/ML Data Stacks - What You Don't Know Can Hurt You

0 rewiews
Explore hidden security risks in AI/ML data stacks, focusing on open-source vulnerabilities, RCE issues, and security anti-patterns. Learn about new checkpoint formats and runtime-based detection methods using eBPF.
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1 Lesons
37 minutes
On-Demand
Free-Video
RSA Conference

IP Protection and Privacy in LLMs - Leveraging Fully Homomorphic Encryption

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Explore how Fully Homomorphic Encryption addresses IP protection and privacy concerns in Large Language Models, with a live demonstration of this innovative hybrid approach.
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1 Lesons
44 minutes
On-Demand
Free-Video
Simons Institute

Machine Learning Gradients in Molecular Simulations

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Explore ML gradients in molecular simulations, including surrogate functions, active learning, and differentiable programming for enhanced scientific modeling and optimization.
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1 Lesons
57 minutes
On-Demand
Free-Video
Security BSides San Francisco

Security Considerations for Services Using AI Models

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Explore security risks in AI-powered services: AI SBOMs, supply chain attacks, input manipulation, and data poisoning. Learn crucial safeguards for robust AI implementation.
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1 Lesons
31 minutes
On-Demand
Free-Video
IEEE

Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection

0 rewiews
Explore multi-instance adversarial attacks on Graph Neural Networks for detecting malicious domains, enhancing cybersecurity defenses against sophisticated threats.
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1 Lesons
15 minutes
On-Demand
Free-Video
IEEE

Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection

0 rewiews
Explore multi-instance adversarial attacks on Graph Neural Networks for detecting malicious domains, enhancing cybersecurity defenses against sophisticated threats.
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1 Lesons
15 minutes
On-Demand
Free-Video
IEEE

LOKI: Large-Scale Data Reconstruction Attack Against Federated Learning Through Model Manipulation - 2024

0 rewiews
Explore a large-scale data reconstruction attack against federated learning, focusing on model manipulation techniques and their implications for privacy and security.
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1 Lesons
20 minutes
On-Demand
Free-Video
IEEE

Unintended Interactions Among ML Defenses and Risks - 2024

0 rewiews
Explore unintended interactions between machine learning defenses and risks, uncovering potential vulnerabilities and implications for AI security and robustness.
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1 Lesons
18 minutes
On-Demand
Free-Video
NDC Conferences

Secure AI: Integrating OWASP Principles in Machine Learning Model Development

0 rewiews
Explore integrating OWASP principles into machine learning model development to address vulnerabilities, ensure data privacy, and safeguard AI systems from potential threats, ensuring robustness and confidentiality.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Rob Mulla

AI CTF Solutions - DEFCon31 Hackathon and Kaggle Competition

0 rewiews
Comprehensive walkthrough of AI hacking techniques used in DEFCon31 CTF competition, covering various attacks on machine learning models, including adversarial examples, prompt injection, and model inversion.
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19 Lesons
2 hours 51 minutes
On-Demand
Free-Video
ACM SIGPLAN

One Pixel Adversarial Attacks via Sketched Programs

0 rewiews
Explore a novel approach for one-pixel adversarial attacks using program synthesis, achieving state-of-the-art success rates with fewer queries and transferable programs for neural network classifiers.
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1 Lesons
19 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Clean Label Poisoning Attacks: From Classification to Speech Recognition

0 rewiews
Explore poisoning attacks in speech recognition, from adversarial manipulations to innovative defenses. Uncover strategies, mechanisms, and future research in AI security.
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1 Lesons
16 minutes
On-Demand
Free-Video
NDC Conferences

From Text to Flaws: Vulnerabilities in Applications with Generative AI and LLMs

0 rewiews
Explore vulnerabilities in generative AI applications, understand LLM functionality, and learn practical countermeasures to protect your AI-powered software from potential attacks.
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1 Lesons
51 minutes
On-Demand
Free-Video
Hack In The Box Security Conference

Model Robustness Will Hurt Data Privacy?

0 rewiews
Exploring the trade-off between AI model robustness and data privacy, revealing how adversarial training may increase vulnerability to privacy attacks and data reconstruction from gradient information.
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17 Lesons
29 minutes
On-Demand
Free-Video
Hack In The Box Security Conference

Practical AI Red Teaming - A Facial Recognition Case Study

0 rewiews
Practical insights into AI red teaming for facial recognition systems, exploring vulnerabilities, attack methods, and defense strategies in real-world environments.
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40 Lesons
49 minutes
On-Demand
Free-Video
BSidesLV

The New Cat and Mouse Game - Attacking and Defending Machine Learning Based Software

0 rewiews
Explore techniques for attacking and defending machine learning-based software, including practical demonstrations and insights from academic literature.
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8 Lesons
26 minutes
On-Demand
Free-Video
RSA Conference

Attacking Machine Learning - On the Security and Privacy of Neural Networks

0 rewiews
Explore security vulnerabilities in neural networks, including adversarial examples and data extraction, to understand potential threats and necessary defenses in modern machine learning systems.
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1 Lesons
48 minutes
On-Demand
Free-Video
44CON Information Security Conference

JARVIS Never Saw It Coming - Hacking Machine Learning in Speech, Text and Face Recognition

0 rewiews
Explore hacking techniques for machine learning systems in speech, text, and facial recognition, including exploits, backdoors, and adversarial attacks. Live demo included.
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22 Lesons
57 minutes
On-Demand
Free-Video
OWASP Foundation

MLSec Going Deeper

0 rewiews
Explore advanced machine learning security concepts, including adversarial samples, attack strategies, and defensive techniques for various ML models.
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12 Lesons
38 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Accessorize to a Crime - Real and Stealthy Attacks on State-Of-The-Art Face Recognition

0 rewiews
Explores stealthy attacks on face recognition systems using adversarial machine learning techniques, demonstrating vulnerabilities in state-of-the-art facial recognition technology through impersonation experiments.
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21 Lesons
25 minutes
On-Demand
Free-Video

The Answer to Life the Universe and Everything Offensive Security

0 rewiews
Explore offensive security through machine learning, sandbox detection, and attack graph theory. Learn about simulation, Q-learning, and adversarial attacks in this comprehensive overview.
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9 Lesons
53 minutes
On-Demand
Free-Video
RSA Conference

AI Security Engineering - Modeling - Detecting - Mitigating New Vulnerabilities

0 rewiews
Explore AI security threats, including adversarial attacks and data poisoning. Learn detection, protection, and mitigation strategies for AI/ML systems from Microsoft experts.
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19 Lesons
54 minutes
On-Demand
Free-Video
RSA Conference

Malicious Documents Emerging Trends - A Gmail Perspective

0 rewiews
Comprehensive analysis of malicious document trends targeting Gmail users, exploring attacker tactics and Google's defensive strategies using AI detection and traditional antivirus methods.
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23 Lesons
43 minutes
On-Demand
Free-Video
Strange Loop Conference

Machine Learning Failures - For Art

0 rewiews
Explore hilarious machine learning failures in art, from cookie recipes to pony classification, and learn how to deliberately create amusing AI mistakes.
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43 Lesons
39 minutes
On-Demand
Free-Video
USENIX

Lessons Learned from Evaluating the Robustness of Defenses to Adversarial Examples

0 rewiews
Explore lessons from evaluating adversarial example defenses, common pitfalls, and recommendations for thorough defense assessments in machine learning security research.
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37 Lesons
48 minutes
On-Demand
Free-Video
USENIX

On Adaptive Attacks to Adversarial Example Defenses

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Explore adaptive attacks on adversarial example defenses, examining challenges, whitebox attacks, and key observations to understand vulnerabilities in machine learning security.
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12 Lesons
20 minutes
On-Demand
Free-Video
Black Hat

The Devil is in the GAN - Defending Deep Generative Models Against Adversarial Attacks

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Exploring vulnerabilities in Deep Generative Models, this talk introduces a threat model for training-time attacks and demonstrates backdooring techniques, while proposing effective detection methods through static and dynamic inspections.
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20 Lesons
39 minutes
On-Demand
Free-Video
Hack In The Box Security Conference

Adversarial Attacks on Autonomous Cars - The Missed Gap

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Explore adversarial attacks on autonomous vehicles, examining the gap between academia and industry, and discussing potential vulnerabilities in AI-driven transportation systems.
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15 Lesons
22 minutes
On-Demand
Free-Video
Black Hat

Superman Powered by Kryptonite - Turn the Adversarial Attack into Your Defense Weapon

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Explore how AI-powered attacks on security mechanisms can be turned into defensive strategies, focusing on adversarial examples and innovative countermeasures in cybersecurity.
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15 Lesons
24 minutes
On-Demand
Free-Video
Black Hat

PeriScope - An Effective Probing and Fuzzing Framework for the Hardware-OS Boundary

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Explore PeriScope, a Linux-based framework for analyzing device-driver interactions, enabling passive monitoring and active fuzzing to enhance hardware-OS boundary security.
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1 Lesons
27 minutes
On-Demand
Free-Video
Black Hat

Protecting the Protector - Hardening Machine Learning Defenses Against Adversarial Attacks

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Strategies for enhancing machine learning model resilience against tampering, comparing cloud and client-based models, and exploring defense techniques for endpoint protection systems.
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27 Lesons
50 minutes
On-Demand
Free-Video
Black Hat

Smashing the ML Stack for Fun and Lawsuits

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Explore legal risks and ethical considerations of testing commercial ML systems' security, with insights on potential lawsuits and regulatory implications for researchers.
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12 Lesons
32 minutes
On-Demand
Free-Video