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#Differential Privacy

#Local Differential Privacy
Showing: 195 courses
Association for Computing Machinery (ACM)

Preserving Data Privacy in Federated Learning - Xiaokui Xiao

1 rewiews
Explore privacy-preserving techniques in federated learning, including differential privacy, model privacy, and vertical factory learning, with insights on future developments and challenges.
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23 Lesons
35 minutes
On-Demand
Free-Video
Harvard University

Finding Fairness - Incorporating Societal Values in Computer Algorithms

0 rewiews
Exploring algorithmic fairness and privacy in computer science, addressing concerns about incorporating societal values into technology as it increasingly impacts our lives.
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15 Lesons
48 minutes
On-Demand
Free-Video
Stanford University

Hacking AI - Security & Privacy of Machine Learning Models

0 rewiews
Explore adversarial machine learning with Prof. Dan Boneh, examining security challenges in AI models, defenses against attacks, and the balance between accuracy and privacy in ML systems.
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17 Lesons
58 minutes
On-Demand
Free-Video
University of Melbourne

Getting Robust - Securing Neural Networks Against Adversarial Attacks

0 rewiews
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
MLOps World: Machine Learning in Production

The Privacy Considerations of Production Machine Learning

0 rewiews
Explore state-of-the-art research on privacy in machine learning, including estimating and defending against privacy leakage, secure collaboration, and machine unlearning for GDPR compliance.
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1 Lesons
32 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

HoloClean and Kamino - Structured Learning for Private Data Generation

0 rewiews
Explore structured learning for private data generation using HoloClean and Kamino frameworks. Learn to preserve data correlations while ensuring privacy in synthetic data instances.
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1 Lesons
36 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

How MLOps Tools Will Need to Adapt to Responsible and Ethical AI - Stay Ahead of the Curve

0 rewiews
Explore ethical AI guardrails for MLOps platforms, focusing on GDPR compliance, data privacy, and future regulatory requirements. Learn to implement responsible AI practices in machine learning operations.
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15 Lesons
39 minutes
On-Demand
Free-Video
Institute for Advanced Study

Imitation Games - Avi Wigderson

0 rewiews
Explore cryptography, randomness, and privacy with Avi Wigderson in this talk on imitation games, covering modern encryption, pseudorandomness, and differential privacy.
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18 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Simons Institute

Differential Privacy in the Clean Room - Copyright Protections for Generative AI

0 rewiews
Explore the intersection of differential privacy and copyright law in AI, examining how mathematical frameworks can prevent infringement while enabling generative model development.
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1 Lesons
46 minutes
On-Demand
Free-Video
Simons Institute

Differentially Private Synthetic Data for Private LLM Training

0 rewiews
Explore cutting-edge techniques for generating private synthetic data in LLM training, focusing on differential privacy methods and their practical applications in AI development.
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1 Lesons
46 minutes
On-Demand
Free-Video
BIMSA

Gaussian Differential Privacy

0 rewiews
探索高斯差分隐私:一种新的隐私保护方法,提供更精确的组合分析和子采样隐私放大,并通过中心极限定理证明其在组合下的收敛性。
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1 Lesons
43 minutes
On-Demand
Free-Video
IEEE

Differentially Private Model Publishing for Deep Learning

0 rewiews
Explore techniques for publishing deep learning models with differential privacy, optimizing privacy loss and model accuracy through concentrated differential privacy and dynamic budget allocation.
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18 Lesons
23 minutes
On-Demand
Free-Video
IEEE

Certified Robustness to Adversarial Examples with Differential Privacy

0 rewiews
Explore certified defense against adversarial examples using differential privacy. Scalable solution for large networks and datasets, providing robustness guarantees for various model types.
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16 Lesons
20 minutes
On-Demand
Free-Video
IEEE

Adversary Instantiation - Lower Bounds for Differentially Private Machine Learning

0 rewiews
Explore lower bounds for differentially private machine learning, focusing on DPSGD, membership inference, and gradient poisoning attacks in this IEEE presentation.
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10 Lesons
15 minutes
On-Demand
Free-Video
IEEE

Private Resource Allocators and Their Applications

0 rewiews
Introduces private resource allocators to prevent allocation-based side-channel attacks in systems like anonymous messaging, with various constructions offering different privacy guarantees and trade-offs in efficiency.
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16 Lesons
17 minutes
On-Demand
Free-Video
IEEE

A Programming Framework for Differential Privacy with Accuracy Concentration Bounds

0 rewiews
Explore a programming framework for differential privacy, balancing data protection and analysis accuracy through novel static tracking and taint analysis techniques.
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10 Lesons
17 minutes
On-Demand
Free-Video
IEEE

SoK- Differential Privacy as a Causal Property

0 rewiews
Explores differential privacy as a causal property, offering a simple characterization without data independence assumptions and resolving prior disagreements about its consequences and applications.
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10 Lesons
16 minutes
On-Demand
Free-Video
IEEE

The Value of Collaboration in Convex Machine Learning with Differential Privacy

0 rewiews
Explores collaborative machine learning on distributed private data using differentially-private gradients, quantifying trade-offs between privacy and utility, and validating performance predictions with real-world financial datasets.
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10 Lesons
16 minutes
On-Demand
Free-Video
IEEE

Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems

0 rewiews
Explore timing and floating-point vulnerabilities in differential privacy systems, uncovering potential privacy leaks and discussing mitigation strategies for enhanced data protection.
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19 Lesons
18 minutes
On-Demand
Free-Video
IEEE

DP-Sniper - Black-Box Discovery of Differential Privacy Violations Using Classifiers

0 rewiews
Explore a novel approach to detect differential privacy violations using classifiers, enhancing data protection and privacy in machine learning systems.
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6 Lesons
15 minutes
On-Demand
Free-Video
Paul G. Allen School

Theory Seminar - Differential Privacy in Theory and Practice, Abie Flaxman

0 rewiews
Explore differential privacy in the US Census, its impact on data accuracy, and potential improvements. Insights from analyzing test runs and 1940 data application.
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12 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Simons Institute

Tales of Obfuscation in Bounded Arithmetic, Metacomplexity, and Differential Privacy

0 rewiews
Explores obfuscation's role in theoretical computer science, covering Circuit Range Avoidance, metacomplexity of Kolmogorov complexity, and computational differential privacy, with focus on recent results and open questions.
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1 Lesons
48 minutes
On-Demand
Free-Video
USENIX Enigma Conference

Implementing Differential Privacy for the 2020 US Census

0 rewiews
Explore the implementation of differential privacy for the 2020 US Census, including technical challenges, organizational hurdles, and the development of innovative algorithms to protect respondent privacy.
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15 Lesons
18 minutes
On-Demand
Free-Video
USENIX Enigma Conference

Platform Data Privacy and Security Strategies for Public Interest Research

0 rewiews
Exploring technical strategies for data sharing in public interest research while complying with privacy regulations, addressing challenges and proposing industry standards.
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6 Lesons
20 minutes
On-Demand
Free-Video
International Mathematical Union

Cynthia Dwork: The Mathematics of Privacy

0 rewiews
Explore the mathematics of privacy with Cynthia Dwork, covering differential privacy, data analysis techniques, and advanced concepts in privacy-preserving algorithms.
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19 Lesons
40 minutes
On-Demand
Free-Video
Fields Institute

Private Learning of Gaussians and Their Mixtures

0 rewiews
Explore private learning techniques for Gaussian distributions and mixtures, focusing on robust methods, hypothesis selection, and high-dimensional cases.
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14 Lesons
30 minutes
On-Demand
Free-Video
Fields Institute

Control, Confidentiality, and the Right to Be Forgotten

0 rewiews
Explore legal and technical aspects of data erasure, focusing on machine unlearning, confidentiality, and adaptive history independence in differential privacy contexts.
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12 Lesons
28 minutes
On-Demand
Free-Video
Fields Institute

Misspecification, and Uncertainty Quantification in Differential Privacy

0 rewiews
Explore differential privacy's theoretical guarantees, misspecification issues, and uncertainty quantification methods. Gain insights into designing mechanisms and addressing implementation challenges.
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19 Lesons
32 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

MVG Mechanism - Differential Privacy under Matrix-Valued Query

0 rewiews
Explore a novel differential privacy mechanism for matrix-valued queries, addressing challenges in data protection and improving upon existing methods.
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18 Lesons
23 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

CALM - Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy

0 rewiews
Explore constructing marginal tables with Local Differential Privacy, ensuring individual data protection without third-party reliance. Learn CALM protocol for consistent, adaptive local marginal release.
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18 Lesons
23 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Privacy and Fairness

0 rewiews
Explore differential privacy, stochastic optimization, and fairness in algorithms. Learn about new techniques, applications, and the importance of interaction in privacy-preserving machine learning.
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14 Lesons
45 minutes
On-Demand
Free-Video
The Cyber Academy

Privacy-Preserving AI - Andrew Trask, University of Oxford

0 rewiews
Explore privacy-preserving AI techniques with Andrew Trask, covering differential privacy, federated learning, and shared governance for ethical and secure AI development.
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12 Lesons
38 minutes
On-Demand
Free-Video
Simons Institute

Recent Development in Differential Privacy I

0 rewiews
Explore recent advancements in differential privacy, covering statistical queries, compressible estimators, and multiple comparisons in adaptive data analysis.
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15 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Simons Institute

The Ethical Algorithm

0 rewiews
Explore ethical challenges in algorithmic design, focusing on data privacy and fairness. Learn about differential privacy, anonymization techniques, and defining fairness in AI systems.
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16 Lesons
1 hour 29 minutes
On-Demand
Free-Video
Simons Institute

Individual Statistical Fairness

0 rewiews
Explore statistical fairness in machine learning, focusing on individual-level impacts and false negative rates beyond differential privacy.
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6 Lesons
30 minutes
On-Demand
Free-Video
Simons Institute

Privacy Amplification by Sampling and Renyi Differential Privacy

0 rewiews
Explore privacy amplification, Renyi differential privacy, and sampling techniques in data analysis. Learn about SGD, use cases, and technical results for enhancing privacy in various applications.
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18 Lesons
50 minutes
On-Demand
Free-Video
Simons Institute

Generative Adversarial Models for Privacy and Fairness

0 rewiews
Explore generative adversarial models for enhancing privacy and fairness in machine learning, covering differential privacy, GANs, and real-world applications in data publishing and encoding.
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25 Lesons
38 minutes
On-Demand
Free-Video
Simons Institute

Foundations and Applications of Data Privacy - A Perspective

0 rewiews
Explore data privacy foundations, challenges, and applications, focusing on differential privacy concepts and their real-world implementations in tech and government sectors.
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31 Lesons
1 hour 43 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

The Strange Case of Privacy in Equilibrium Models

0 rewiews
Explores counterintuitive effects of privacy in targeted advertising, revealing how increased privacy can paradoxically lead to more information disclosure and unexpected economic outcomes.
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1 Lesons
25 minutes
On-Demand
Free-Video
Fields Institute

Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms

0 rewiews
Explore central and local mechanisms for optimal and differentially private data acquisition, focusing on theoretical foundations and practical applications in statistical analysis.
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1 Lesons
35 minutes
On-Demand
Free-Video
Fields Institute

Differentially Private Simple Linear Regression

0 rewiews
Explore advanced techniques for protecting data privacy in statistical analysis, focusing on simple linear regression methods and their applications.
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1 Lesons
37 minutes
On-Demand
Free-Video
Fields Institute

On the Complexity of Two-Party Differential Privacy

0 rewiews
Explore the intricacies of two-party differential privacy, examining its complexity and implications for data analysis and privacy protection in collaborative settings.
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1 Lesons
27 minutes
On-Demand
Free-Video
Fields Institute

Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism

0 rewiews
Explore efficient mean estimation techniques using pure differential privacy and sum-of-squares exponential mechanism, advancing statistical data analysis with privacy considerations.
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1 Lesons
30 minutes
On-Demand
Free-Video
Fields Institute

The Sum-of-Squares Method

0 rewiews
Explore advanced techniques in polynomial optimization and algorithm design, focusing on the powerful Sum-of-Squares method and its applications in various mathematical fields.
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1 Lesons
52 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Differential Privacy and the US Census - IPAM at UCLA

0 rewiews
Explore differential privacy's role in the 2020 US Census, its mathematical foundations, and challenges in balancing data utility with privacy protection in large-scale statistical analysis.
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1 Lesons
58 minutes
On-Demand
Free-Video
IEEE

The Role of Interactivity in Local Differential Privacy

0 rewiews
Explore the impact of interactivity on local differential privacy, examining its significance in data protection and privacy-preserving algorithms.
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1 Lesons
21 minutes
On-Demand
Free-Video
Alan Turing Institute

Turing Lecture - Dr Cynthia Dwork, Privacy-Preserving Data Analysis

0 rewiews
Explore differential privacy and its role in protecting data during complex analysis. Learn about the risks of data accumulation and solutions for privacy-preserving statistical analysis of large datasets.
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1 Lesons
51 minutes
On-Demand
Free-Video
Alan Turing Institute

A Short Tutorial on Differential Privacy

0 rewiews
Explore differential privacy fundamentals, applications in machine learning, and key definitions. Learn about privacy-preserving computations and various mechanisms for protecting sensitive data.
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13 Lesons
1 hour 49 minutes
On-Demand
Free-Video
USENIX

Protecting User Privacy in Private Set Intersection - A Journey Toward Mitigating User Tracking

0 rewiews
Explore DPCA-PSI, a novel protocol enhancing privacy in Private Set Intersection. Learn how it securely computes intersection statistics while preserving differential privacy, mitigating user tracking risks in ad measurement and data sharing.
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1 Lesons
18 minutes
On-Demand
Free-Video
USENIX

How to Break, Then Fix, Differential Privacy on Finite Computers

0 rewiews
Exploring vulnerabilities in differential privacy implementations, focusing on precision-based attacks and proposing solutions to address floating-point behavior issues in open-source libraries.
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1 Lesons
16 minutes
On-Demand
Free-Video
USENIX

Privacy in the Public Sector - Lessons Learned and Strategies for Success

0 rewiews
Explore GovTech Singapore's privacy toolkit for the public sector, including challenges, strategies, and initiatives in Differential Privacy. Gain insights on building effective privacy tools for government use.
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1 Lesons
16 minutes
On-Demand
Free-Video
USENIX

De-identified, Anonymized, or Aggregated Data - A Global Regulatory Comparison

0 rewiews
Explores global data protection regulations, focusing on anonymized data challenges. Highlights need for common definitions, risk assessment guidelines, and regulatory clarity in privacy technologies.
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1 Lesons
15 minutes
On-Demand
Free-Video
Alan Turing Institute

Overcoming the Challenges of Data Sharing

0 rewiews
Experts discuss advanced techniques for secure data sharing, including synthetic data, differential privacy, and federated analytics, addressing key challenges in the field.
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1 Lesons
54 minutes
On-Demand
Free-Video
Simons Institute

Contraction of Markov Kernels and Differential Privacy - Part II

0 rewiews
Explore advanced concepts in differential privacy and Markov kernels, focusing on contraction principles and their applications in trustworthy machine learning.
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1 Lesons
34 minutes
On-Demand
Free-Video
Simons Institute

The Saddle-Point Accountant for Differential Privacy

0 rewiews
Explore a novel approach to differential privacy using saddle-point techniques, enhancing privacy guarantees in machine learning algorithms and data analysis.
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1 Lesons
38 minutes
On-Demand
Free-Video
Simons Institute

Contraction of Markov Kernels and Differential Privacy - Part I

0 rewiews
Explore Markov kernel contraction and its connection to differential privacy in machine learning, focusing on information-theoretic approaches for trustworthy algorithms.
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1 Lesons
35 minutes
On-Demand
Free-Video
Simons Institute

Differential Privacy & Variants

0 rewiews
Explore differential privacy and its variants, focusing on information-theoretic methods for enhancing trustworthiness in machine learning algorithms and applications.
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1 Lesons
56 minutes
On-Demand
Free-Video
Simons Institute

A Blackbox Reduction for Adaptive Adversaries Using Differential Privacy

0 rewiews
Explore a novel black-box transformation using differential privacy to convert dynamic algorithms from oblivious to adaptive adversary resistance, enhancing algorithm design for dynamic graphs.
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1 Lesons
47 minutes
On-Demand
Free-Video
Google TechTalks

Control, Confidentiality, and the Right to be Forgotten in Differential Privacy for Machine Learning

0 rewiews
Explore data deletion, confidentiality, and control in machine learning, focusing on differential privacy and its implications for user rights and model retraining.
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19 Lesons
59 minutes
On-Demand
Free-Video
Google TechTalks

Analog vs. Digital Epsilons: Implementation Considerations for Differential Privacy

0 rewiews
Explore implementation considerations for differential privacy, focusing on analog vs. digital epsilons in machine learning applications.
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1 Lesons
52 minutes
On-Demand
Free-Video
Google TechTalks

Private Convex Optimization via Exponential Mechanism - Differential Privacy for Machine Learning

0 rewiews
Explore private convex optimization using the exponential mechanism. Learn differential privacy, noisy SGD, and isoperimetric inequality for ML applications.
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21 Lesons
53 minutes
On-Demand
Free-Video
Google TechTalks

Differentially Private Sampling from Distributions - Google Algorithms Seminar

0 rewiews
Explore private sampling from distributions, examining dataset size requirements for various distribution families and comparing private sampling to non-private learning in different parameter regimes.
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16 Lesons
45 minutes
On-Demand
Free-Video
Google TechTalks

Differentially Private Synthetic Data Generation via Foundation Model APIs

0 rewiews
Explore generating high-quality differentially private synthetic data using foundation model APIs, overcoming challenges and achieving state-of-the-art results without accessing model weights.
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15 Lesons
56 minutes
On-Demand
Free-Video
Google TechTalks

Randomized Approach for Tight Privacy Accounting in Differential Privacy

0 rewiews
Explore a novel differential privacy paradigm for improved privacy accounting in compositions, featuring Monte Carlo-based verification and enhanced utility-privacy tradeoffs in machine learning.
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1 Lesons
46 minutes
On-Demand
Free-Video
Google TechTalks

Improving the Privacy-Utility Tradeoff in Differentially Private Machine Learning with Public Data

0 rewiews
Explore techniques to enhance privacy-utility balance in differentially private machine learning using public data, focusing on DP-RAFT and DOPE-SGD algorithms for improved model accuracy.
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1 Lesons
38 minutes
On-Demand
Free-Video
Google TechTalks

Almost Tight Error Bounds on Differentially Private Continual Counting

0 rewiews
Explore novel mechanisms for differentially private continual counting, analyzing error bounds and applications in private optimization. Gain insights into matrix mechanisms and factorization techniques.
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1 Lesons
56 minutes
On-Demand
Free-Video
Google TechTalks

Differentially Private Online-to-Batch Conversion for Stochastic Optimization

0 rewiews
Explore differentially private stochastic optimization techniques, comparing simple preprocessing and custom algorithms. Learn about a novel online-to-batch conversion method for optimal private convergence rates.
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26 Lesons
50 minutes
On-Demand
Free-Video
Google TechTalks

Differentially Private Diffusion Models

0 rewiews
Explore privacy-preserving machine learning with differentially private diffusion models, optimizing design for sensitive data and enhancing performance through public pre-training.
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1 Lesons
45 minutes
On-Demand
Free-Video
Google TechTalks

A Fast Algorithm for Adaptive Private Mean Estimation in Machine Learning

0 rewiews
Explore adaptive private mean estimation with a fast algorithm, focusing on optimal convergence rates, computational efficiency, and adaptability beyond sub-Gaussian distributions.
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13 Lesons
54 minutes
On-Demand
Free-Video
Google TechTalks

The Saddle Point Accountant for Differential Privacy in Machine Learning

0 rewiews
Explore differential privacy's saddle point accountant method, its composition, and applications in machine learning through expert insights.
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11 Lesons
41 minutes
On-Demand
Free-Video
Google TechTalks

Differentially Private Multi-party Data Release for Linear Regression

0 rewiews
Explore differential privacy techniques for secure multi-party data sharing in linear regression, enhancing privacy protection in collaborative machine learning environments.
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1 Lesons
57 minutes
On-Demand
Free-Video
Data Council

How Data Teams Can Contribute to Data Privacy

0 rewiews
Explore global data privacy regulations, dispel misconceptions, and learn advanced techniques for privacy-aware systems in data engineering and management.
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1 Lesons
26 minutes
On-Demand
Free-Video
PyCon US

Differential Privacy: Protecting Data Privacy in the Era of Big Data

0 rewiews
Explore Differential Privacy, a cutting-edge cybersecurity technique that preserves individual privacy while enabling data analysis. Learn its applications and implementation using PyDP in Python.
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1 Lesons
32 minutes
On-Demand
Free-Video
Simons Institute

Large Scale Private Learning on Data Streams and the Buffered Linear Toeplitz Operators

0 rewiews
Innovative algorithm for privacy-preserving machine learning on data streams, introducing Buffered Linear Toeplitz operators for efficient noise generation in differentially private training.
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1 Lesons
30 minutes
On-Demand
Free-Video
Simons Institute

Locally Private Histograms in All Privacy Regimes

0 rewiews
Explore frequency estimation in data analysis, focusing on local differential privacy. Learn about algorithms, error bounds, and the intriguing low-privacy regime in histogram computation.
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1 Lesons
26 minutes
On-Demand
Free-Video
DevConf

Preserving Anonymity in Data Collection - The Story of Differential Privacy

0 rewiews
Explore differential privacy techniques for collecting user data while preserving anonymity. Learn key concepts, historical development, and potential applications in software telemetry.
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1 Lesons
36 minutes
On-Demand
Free-Video
PyCon US

Differential Privacy: Protecting Data Privacy in the Era of Big Data

0 rewiews
Explore Differential Privacy, a cutting-edge cybersecurity technique that preserves individual privacy while enabling data analysis. Learn its applications and implementation using PyDP in Python.
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1 Lesons
32 minutes
On-Demand
Free-Video
USENIX

Designing for User Privacy: Integrating Differential Privacy into Ad Measurement Systems - PEPR '24

0 rewiews
Explore innovative approaches to integrate differential privacy into ad measurement systems, balancing user privacy with effective campaign analysis across multiple platforms.
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1 Lesons
20 minutes
On-Demand
Free-Video
USENIX

Utility Analysis for Differentially-Private Pipelines

0 rewiews
Explore a methodology for estimating differential privacy's impact on data quality, aiding informed decision-making in implementing privacy-preserving pipelines.
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1 Lesons
13 minutes
On-Demand
Free-Video
USENIX

Through the Lens of LLMs - Unveiling Differential Privacy Challenges

0 rewiews
Explores LLMs as potential attackers in differential privacy, focusing on Google's Topics API vulnerabilities. Reveals increased re-identification risks and challenges privacy claims using practical simulations and LLM-driven analysis.
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1 Lesons
10 minutes
On-Demand
Free-Video
Conf42

Protecting Sensitive Data and Machine Learning Models

0 rewiews
Discover techniques for safeguarding sensitive data and ML models, enhancing privacy and security in Python-based AI applications.
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2 Lesons
21 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Noise-Aware Statistical Inference with Differentially Private Synthetic Data

0 rewiews
Explore noise-aware statistical inference techniques for differentially private synthetic data, combining multiple imputation and Bayesian modeling to produce accurate uncertainty estimates for population-level quantities.
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14 Lesons
27 minutes
On-Demand
Free-Video
Isaac Newton Institute for Mathematical Sciences

The Promise of Differential Privacy

0 rewiews
Explore differential privacy's role in addressing false discoveries and privacy risks in big data analysis. Learn theoretical foundations and practical applications.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Private Frequency Estimation via Projective Geometry

0 rewiews
Explore private frequency estimation using projective geometry with insights from Jelani Nelson's conference talk at CIRM.
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1 Lesons
49 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

On Robustness and Local Differential Privacy

0 rewiews
Explore robustness and local differential privacy in mathematical statistics with Thomas Berrett's insightful conference talk at CIRM.
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1 Lesons
39 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Privacy: Definitions, Procedures, and Open Problems

0 rewiews
Explore privacy definitions, procedures, and open problems in mathematical statistics with John Duchi's comprehensive conference talk.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Google TechTalks

Machine Unlearning and Privacy Implications - Differential Privacy for ML

0 rewiews
Explore privacy implications of machine unlearning, including threat models, deletion inference, and experimental results in this Google TechTalk on differential privacy for ML.
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17 Lesons
50 minutes
On-Demand
Free-Video
Google TechTalks

Marginal-based Methods for Differentially Private Synthetic Data - Differential Privacy for ML Series

0 rewiews
Explore marginal-based methods for generating differentially private synthetic data, covering mechanisms, selection algorithms, and empirical findings.
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17 Lesons
43 minutes
On-Demand
Free-Video
Snorkel AI

Generating Synthetic Tabular Data that is Differentially Private

0 rewiews
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
Simons Institute

Privately Evaluating Untrusted Black-Box Functions

0 rewiews
Explore tools for sharing sensitive data with untrusted analysts, focusing on differentially private algorithms and privacy wrappers for black-box functions on datasets.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Simons Institute

Small Space Differentially Private Graph Algorithms in the Continual Release Model

0 rewiews
Explore sublinear space differentially private graph algorithms for continual release, covering densest subgraphs, k-core decomposition, maximum matching, and vertex cover.
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1 Lesons
47 minutes
On-Demand
Free-Video
BIMSA

Deep Learning with Differential Privacy

0 rewiews
Explore deep learning techniques for privacy-preserving machine learning, focusing on neural networks and differential privacy in crowdsourced, sensitive datasets.
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1 Lesons
1 hour
On-Demand
Free-Video
Databricks

Using Apache Spark and Differential Privacy for 2020 Census Data Protection

0 rewiews
Explore how Apache Spark and differential privacy protect 2020 Census data, balancing accuracy and confidentiality. Learn about the innovative TopDown Algorithm and custom monitoring systems.
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22 Lesons
29 minutes
On-Demand
Free-Video
Snorkel AI

How ML-Powered Data Cleaning Streamlines the AI Pipeline

0 rewiews
Explore ML-powered data cleaning techniques to streamline AI pipelines, automate labor-intensive tasks, and overcome impediments in data preparation for efficient data science workflows.
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11 Lesons
30 minutes
On-Demand
Free-Video
USENIX

Compute Engine Testing with Synthetic Data Generation

0 rewiews
Explore Meta's innovative testing framework using privacy-safe synthetic data for compute engines, enhancing regression detection, test coverage, and release cycles in data warehousing.
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1 Lesons
16 minutes
On-Demand
Free-Video
Fields Institute

Data Augmentation MCMC for Bayesian Inference from Privatized Data

0 rewiews
Explore data augmentation MCMC for Bayesian inference from privatized data, focusing on differential privacy challenges and solutions in statistical analysis.
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18 Lesons
28 minutes
On-Demand
Free-Video
TheIACR

Foundations II

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Explore advanced cryptography concepts including derandomization, encryption schemes, differential privacy, and collective coin tossing for secure communication and data protection.
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12 Lesons
59 minutes
On-Demand
Free-Video
TheIACR

Certified Randomness from Quantum Supremacy

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Explore quantum supremacy, certified randomness, and their implications in cryptography with Scott Aaronson's insightful presentation on cutting-edge quantum computing concepts.
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17 Lesons
52 minutes
On-Demand
Free-Video
IEEE

Cryptographically Protected Database Search

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Exploration of cryptographically protected database search systems, analyzing primitive operations, current implementations, potential attacks, and future directions for enhancing data security and functionality.
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13 Lesons
21 minutes
On-Demand
Free-Video
USENIX Enigma Conference

Trustworthy Machine Learning: Challenges and Frameworks

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Exploring the security challenges in machine learning, this talk discusses strategies for building trustworthy AI systems by analyzing data influence, addressing vulnerabilities, and enhancing interpretability.
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15 Lesons
18 minutes
On-Demand
Free-Video