USENIX Courses

Automating Technical Privacy Reviews Using LLMs

Exploring LLM automation for technical privacy reviews: efficiency gains, challenges, and limitations in agile environments. Insights from Uber and HERE Technologies on triage processes and AI integration.

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

Lineage Quality Measurement for Privacy Engineering

Exploring a framework for measuring lineage performance in data systems, aiding product teams and privacy engineers in selecting effective approaches for privacy protection.

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

FTC, Privacy, and You - Understanding the Federal Trade Commission's Role

Explore the FTC's role in privacy and technology, including its dual mandate, the new Office of Technology, and how privacy engineers support the agency's mission.

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

Anonymization Aspects of a Low-latency VoIP Security Analytics System

Explore privacy-preserving techniques for VoIP security analytics, focusing on end-to-end encryption of PII while maintaining analytical capabilities and low latency in threat detection and response.

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

Designing a Data Subject Access Rights Tool

Exploring challenges in data subject access requests and proposing user-friendly solutions for better understanding and control of personal data collected by companies.

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

Learning and Unlearning Your Data in Federated Settings

Explore federated learning and unlearning approaches for collaborative AI model training while preserving data privacy. Analyze methods for removing data inputs in distributed settings to comply with regulations.

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

Approaches and Challenges to Purpose Limitation across Diverse Data Uses

Explore Meta's innovative solutions for purpose limitation in data privacy, addressing challenges of scale, granularity, and conditional flows through annotation-based policy checks.

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

Why "Safety"? How We Use Measurement to Advance Governance of Technology

Explore Internet Safety Labs' approach to software safety, including measurement methodologies, app safety labels, and data collection techniques for advancing technology governance.

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

Compute Engine Testing with Synthetic Data Generation

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.

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

Lessons Learned Deploying the Global Privacy Control to Millions of Customers

Insights on implementing Global Privacy Control at scale, covering standard overview, deployment challenges, and key learnings from Amazon's experience with millions of users.

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

Empirical Privacy Metrics in Synthetic Data Generation - The Bad, the Ugly, and the Good

Explore synthetic data generation, empirical privacy metrics, and their implications for data privacy. Uncover myths, assess usefulness, and learn requirements for effective privacy protection in data analysis and sharing.

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

Measuring Privacy Risks in Mobile Apps at Scale

Explore Internet Safety Labs' research on privacy risks in K-12 EdTech apps, including methodology, key findings, and challenges in large-scale privacy measurement.

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

Navigating the Privacy Landscape of AI on Devices - Challenges and Best Practices

Explore challenges and best practices for balancing AI advancements with user privacy on personal devices, focusing on responsible data handling and transparent AI development.

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

How Privacy Engineering Can Streamline the M&A Process

Explore how Privacy Engineering principles and advanced methodologies can streamline M&A processes, mitigate risks, and provide crucial insights during early acquisition stages.

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

Building a Protocol to Improve Data Subject Request Flexibility and Integration

Exploring a protocol for efficient data subject request handling, from intake to system-wide propagation. Discusses payload structures, implementation lessons, and future applications for improved DSR flexibility.

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