Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Differential Privacy: Hypothesis Testing and Composition

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (57)

Data Protection Law: Principles and Rights Log in to Mediaspace to watch this video

Covers the principles and rights of data protection law under GDPR.

Machine Learning and Privacy Log in to Mediaspace to watch this video

Explores Federated Machine Learning and Differential Privacy in Machine Learning, discussing attacks, defenses, and challenges.

Fundamental Solutions Log in to Mediaspace to watch this video

Explores fundamental solutions in partial differential equations, highlighting their significance in mathematical applications.

Probability Distributions in Environmental Studies Log in to Mediaspace to watch this video

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Data Privacy: Techniques and Challenges Log in to Mediaspace to watch this video

Explores data privacy techniques like differential privacy and k-anonymity, ensuring statistical insignificance for neighboring databases.

Data Privacy: K-anonymity Log in to Mediaspace to watch this video

Explores k-anonymity in data privacy, discussing prevention techniques and vulnerabilities to attacks.

Data Privacy: Compression & Protection Log in to Mediaspace to watch this video

Explores techniques for ensuring data privacy while sharing information and the trade-off between privacy and data accuracy.

Machine Learning and Privacy Log in to Mediaspace to watch this video

Delves into Differential Privacy trade-offs, disparate impact, and machine learning-based privacy attacks.

Untitled Log in to Mediaspace to watch this video

Privacy-preserving data publishing: K-anonymity and l-Diversity Log in to Mediaspace to watch this video

Explores K-anonymity, l-Diversity, and data de-identification challenges, using real-life examples and discussing Airbnb's privacy efforts.

Real-Time Bidding: Legal Aspects Log in to Mediaspace to watch this video

Explores the legal implications of real-time bidding in online advertising, focusing on data protection and privacy concerns.

Quantile Regression: Linear Optimization Log in to Mediaspace to watch this video

Covers quantile regression, focusing on linear optimization for predicting outputs and discussing sensitivity to outliers, problem formulation, and practical implementation.

Statistical Theory: Decision Theory Framework Log in to Mediaspace to watch this video

Explores the Decision Theory Framework in Statistical Theory, viewing statistics as a random game with key concepts like admissibility, minimax rules, and Bayes rules.

Technologies for Identity & Anonymity Log in to Mediaspace to watch this video

Explores technologies for identity and anonymity, including e-ID, social media identities, and cryptographic signatures.

Privacy-preserving data publishing: Challenges and Solutions Log in to Mediaspace to watch this video

Explores challenges in privacy-preserving data publishing, including k-anonymity and synthetic data solutions.

Confidence Intervals and Hypothesis Testing Log in to Mediaspace to watch this video

Explores confidence intervals, hypothesis testing, and decision-making using test statistics and p-values.

Statistical Theory: Maximum Likelihood Estimation Log in to Mediaspace to watch this video

Explores the consistency and asymptotic properties of the Maximum Likelihood Estimator, including challenges in proving its consistency and constructing MLE-like estimators.

Privacy-preserving Data Publishing: Differential Privacy Concepts Log in to Mediaspace to watch this video

Explores differential privacy concepts, mechanisms, and real-world applications for privacy-preserving data publishing.

Chaos Engineering: Advanced Principles Log in to Mediaspace to watch this video

Explores advanced Chaos Engineering principles, risk management, automation, and fault injection testing.

Statistical Theory: Inference and Optimality Log in to Mediaspace to watch this video

Explores constructing confidence regions, inverting hypothesis tests, and the pivotal method, emphasizing the importance of likelihood methods in statistical inference.

Page 2 of 3