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#Adversarial Attacks

Showing: 93 courses
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

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

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

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
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
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
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
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
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
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

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
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
Yannic Kilcher

Manifold Mixup: Better Representations by Interpolating Hidden States

0 rewiews
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

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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
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
CAE in Cybersecurity Community

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

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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
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
IEEE

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

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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

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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
Rob Mulla

AI CTF Solutions - DEFCon31 Hackathon and Kaggle Competition

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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

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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

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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

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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?

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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

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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
OWASP Foundation

MLSec Going Deeper

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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

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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

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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

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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

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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

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

0 rewiews
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

0 rewiews
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

0 rewiews
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

0 rewiews
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
Hack In The Box Security Conference

Hacking Object Detectors Is Just Like Training Neural Networks

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Explore techniques for deceiving object detectors by comparing the attack process to neural network training. Learn how applying training techniques can improve adversarial attacks on state-of-the-art systems.
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1 Lesons
31 minutes
On-Demand
Free-Video
USENIX

Exploring Practical Vulnerabilities of Machine Learning-Based Wireless Systems

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Unveils practical vulnerabilities in ML-based wireless systems through RAFA, a hardware-implemented adversarial attack platform, demonstrating significant performance drops in communication and sensing approaches.
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1 Lesons
18 minutes
On-Demand
Free-Video
IEEE

AI-Guardian - Defeating Adversarial Attacks Using Backdoors

0 rewiews
Explore innovative techniques to counter adversarial attacks on AI systems using backdoor mechanisms, enhancing model robustness and security in critical applications.
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1 Lesons
16 minutes
On-Demand
Free-Video
GOTO Conferences

Responsible AI for Business Leaders

0 rewiews
Explore responsible AI practices, challenges, and Google's principles for ethical AI implementation in business. Learn strategies to mitigate risks and ensure positive outcomes in AI development.
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19 Lesons
28 minutes
On-Demand
Free-Video
GOTO Conferences

Responsible AI for Engineers

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Explore responsible AI practices, challenges, and solutions in this talk by Google's Technical Director. Learn about bias, unintended consequences, and techniques for aligning machine learning with ethical values.
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39 Lesons
47 minutes
On-Demand
Free-Video
44CON Information Security Conference

Sleeping with One AI Open

0 rewiews
Explore adversarial attacks on AI/ML systems, their real-world implications, and mitigation strategies. Learn about potential risks and security considerations in AI-driven technologies across various sectors.
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1 Lesons
56 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Everything You Need to Know about Security Issues in Today's ML Systems

0 rewiews
Comprehensive overview of security vulnerabilities in ML systems, covering poisoning, evasion, and inversion attacks, with focus on adversarial examples and their impact on various applications.
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14 Lesons
25 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Defending Against Adversarial Model Attacks Using Kubeflow

0 rewiews
Explore building robust AI pipelines against adversarial attacks using Kubeflow and LFAI Adversarial Robustness Toolbox. Learn to test ML model robustness in production with Kubeflow Serving and KNative eventing.
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9 Lesons
21 minutes
On-Demand
Free-Video
GAIA

Information Leakage of Neural Networks

0 rewiews
Explore information extraction attacks on machine learning models, their potential to compromise sensitive data, and strategies for mitigation. Gain insights into legal aspects and privacy-security-utility tensions.
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1 Lesons
28 minutes
On-Demand
Free-Video
DEFCONConference

Exploiting Voice Cloning in Adversarial Simulation - Security Testing and Defense Strategies

0 rewiews
Explore the security vulnerabilities of voice verification systems through deep learning voice cloning techniques, including practical demonstrations, risk assessment, and defensive countermeasures.
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1 Lesons
26 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Analyzing the Security of Machine Learning for Algorithmic Trading

0 rewiews
Explore adversarial attacks on ML-based algorithmic trading systems, evaluating robustness and discussing realistic attack scenarios in financial markets.
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1 Lesons
29 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Responsible AI: Challenges and Emerging Practices - Keynote

0 rewiews
Explore challenges and emerging practices in responsible AI, including unintended consequences, model interpretability, fairness, and engineering objectives.
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1 Lesons
27 minutes
On-Demand
Free-Video
Stanford University

Analyzing and Exposing Vulnerabilities in Language Models - Session 131

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Delve into advanced research on language model vulnerabilities, exploring novel adversarial attack methods and gender bias analysis while discovering practical approaches to enhance AI trustworthiness and fairness.
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1 Lesons
37 minutes
On-Demand
Free-Video
Alexander Amini

Deep Learning New Frontiers

0 rewiews
Explore deep learning limitations and new frontiers, including expressivity, generalization, failure modes, uncertainty, adversarial attacks, and emerging areas like graph learning and AutoML.
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15 Lesons
51 minutes
On-Demand
Free-Video
Alexander Amini

Deep Learning New Frontiers

0 rewiews
Explore deep learning limitations and new frontiers, including expressivity, generalization, adversarial attacks, uncertainty, and AutoML. Gain insights into cutting-edge developments in neural networks.
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12 Lesons
38 minutes
On-Demand
Free-Video
Devoxx

Some Pitfalls in AI

0 rewiews
Explore common pitfalls in AI applications, including bias, adversarial attacks, ethics, and privacy concerns, to better understand the challenges and risks of autonomous decision-making systems.
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39 Lesons
52 minutes
On-Demand
Free-Video
RSA Conference

Do Attackers Use Algorithms to Evade ML - An In-the-Wild Phishing Case Study

0 rewiews
Explore phishing evasion tactics and trends, including 11 current techniques and potential use of automated adversarial attacks. Gain insights from a 5-year study on ML phish evasion competitions and real-world evasive phishing sites.
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1 Lesons
49 minutes
On-Demand
Free-Video
Hack In The Box Security Conference

Breaking Fake Voice Detection with Speaker-Irrelative Features

0 rewiews
Delve into advanced techniques for bypassing fake voice detection systems through Speaker-Irrelative Features, achieving over 80% success rate by manipulating background noise and mute segments.
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1 Lesons
44 minutes
On-Demand
Free-Video
Linux Foundation

Exploring Pillars of Trustworthy AI: Robustness and Fairness

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Discover how to build robust and fair AI models by exploring vulnerabilities, implementing defense strategies, and addressing bias in machine learning systems through practical techniques.
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1 Lesons
42 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Red Teaming Language Model Detectors with Language Models

0 rewiews
Explore strategies to compromise LLM detectors using synonym replacement and instructional prompts, revealing vulnerabilities in text detection systems and emphasizing the need for robust safeguards.
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1 Lesons
48 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Adversarial and Poisoning Attacks Against Speech Systems - Where to Find Them

0 rewiews
Explore vulnerabilities in machine learning systems, focusing on poisoning and adversarial attacks. Learn strategies, defense mechanisms, and implications for AI security.
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1 Lesons
38 minutes
On-Demand
Free-Video
Google TechTalks

Robust Design Discovery and Exploration in Bayesian Optimization

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Explore data-driven methods for robust design discovery and optimization, focusing on Bayesian techniques that efficiently handle uncertainties and adversarial scenarios in various scientific domains.
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13 Lesons
53 minutes
On-Demand
Free-Video
VinAI

Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms

0 rewiews
Explore adversarial attacks on multivariate forecasting models and learn effective defense strategies, including randomized smoothing and adversarial training, to enhance robustness in time-series predictions.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Georgia Tech Research

In Search of Invariance in Brains and Machines

0 rewiews
Explore mathematical frameworks for robust AI perception, focusing on Lie theory to model hierarchical structures and transformations in real-world object recognition.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
USENIX

DNN-GP: Diagnosing and Mitigating Model's Faults Using Latent Concepts

0 rewiews
Explore an innovative fault diagnosis tool for Deep Neural Networks that interprets latent concepts to detect and mitigate various model vulnerabilities, from adversarial attacks to concept drift.
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1 Lesons
11 minutes
On-Demand
Free-Video
USENIX

Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning

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Explore secure participant selection in Federated Learning through Lotto, a system designed to protect against adversarial servers while maintaining efficient performance and privacy guarantees.
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1 Lesons
12 minutes
On-Demand
Free-Video
LASCON

AI Under the Hood: Unmasking Hidden Threats

0 rewiews
Explore a comprehensive analysis of AI threat modeling frameworks, examining safety protocols and risk assessment methods for AI/ML applications while learning to identify and address potential vulnerabilities.
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1 Lesons
25 minutes
On-Demand
Free-Video
LASCON

Safeguarding Machine Learning Systems - A Comprehensive Security Plan

0 rewiews
Discover a holistic security framework for ML systems, covering data protection, model fortification, platform security, compliance measures, and human-centric safeguards for robust AI deployment.
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1 Lesons
51 minutes
On-Demand
Free-Video
USENIX

Formalizing and Benchmarking Prompt Injection Attacks and Defenses

0 rewiews
Explore a systematic framework for understanding and evaluating prompt injection attacks on LLM applications, including analysis of 5 attack types and 10 defense mechanisms across multiple models.
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1 Lesons
12 minutes
On-Demand
Free-Video
USENIX

PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models

0 rewiews
Discover how PhishDecloaker uses AI and computer vision to detect CAPTCHA-protected phishing websites, improving detection rates from 0% to 74.25% and enhancing cybersecurity defenses.
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1 Lesons
13 minutes
On-Demand
Free-Video