Data Protection Courses

USENIX Enigma Conference

Protecting Firefox Data with Content Signatures

Explore Firefox's content signature protocol, designed to protect data integrity against transport intermediaries and server compromises, ensuring secure updates for millions of users.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

USENIX Enigma Conference

Digital Afterlife - Ethical Considerations and Data Legacy

Exploring the ethical implications of digital afterlives, data legacies, and the future of personal information in the age of pervasive internet use.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

USENIX Enigma Conference

Privacy at Instagram: Data Privacy Framework and Strategies

Explore Instagram's Data Privacy Framework, covering design principles, deployment strategies, and lessons learned in balancing user privacy with rapid growth and system expansion.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

IEEE

Polynomial Data Structure Lower Bounds in the Group Model

Explore polynomial data structure lower bounds in the group model, covering static structures, lower bounds, models, and efficiency concepts. Insights on k-wise independence and derandomization.

• YouTube
• 25 minutes
• Self-Paced
• Conference Talk

IEEE

The Coin Problem with Applications to Data Streams

Explore the Coin Problem's applications to data streams, covering previous works, counting techniques, information cost, and proof overview.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Translation Tutorial - Data Externalities

Explore data externalities through case studies, examining privacy values, excessive sharing, low reimbursements, and data substitutability. Discuss collective bargaining as a potential solution.

• YouTube
• 58 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

What We Can’t Measure, We Can’t Understand - Challenges to Demographic Data Procurement in the Pursuit of Fairness

Explore challenges in demographic data collection for fairness, covering recruitment, privacy laws, anti-discrimination policies, and organizational trustworthiness in pursuit of equitable AI systems.

• YouTube
• 22 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Can You Fake It Until You Make It? - Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness

Explore the impact of differentially private synthetic data on classification fairness, examining its potential for preserving privacy while maintaining data utility in machine learning.

• YouTube
• 18 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Narratives and Counternarratives on Data Sharing in Africa

Explore narratives and counternarratives on data sharing in Africa, examining challenges, power dynamics, trust issues, and open data implications for the continent's digital landscape.

• YouTube
• 18 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies

Explore a framework for empowering the public's relationship with tech companies through data leverage, examining concepts like data levers, laundering, and conscious contribution.

• YouTube
• 20 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Leveraging Administrative Data for Bias Audits - Assessing Disparate Coverage with Mobility Data for COVID-19 Policy

Explore how administrative data can be used to audit bias in mobility data for COVID-19 policies, addressing disparate coverage and its implications for decision-making.

• YouTube
• 20 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Can You Fake It Until You Make It? - Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness

Explore the effects of differentially private synthetic data on classification fairness, examining its potential and limitations in machine learning applications.

• YouTube
• 18 minutes
• Self-Paced
• Conference Talk

Fields Institute

Residual Dynamic Mode Decomposition- Rigorous Data-Driven Computation of Spectral Properties of Koopman Operators for Dynamical Systems

Explore rigorous data-driven methods for computing spectral properties of Koopman operators in dynamical systems, focusing on Residual Dynamic Mode Decomposition and its applications.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Fields Institute

Premonitions of Public Data for Private ML

Explore how public data pre-training enhances private machine learning, examining its impact on accuracy, zero-shot learning, and the future of privacy-preserving AI techniques.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Fields Institute

Data Augmentation MCMC for Bayesian Inference from Privatized Data

Explore data augmentation MCMC for Bayesian inference from privatized data, focusing on differential privacy challenges and solutions in statistical analysis.

• YouTube
• 28 minutes
• Self-Paced
• Free Video