Contact Tracing Apps - Engineering Privacy in Quicksand
Explore privacy challenges and solutions in contact tracing apps, focusing on end-to-end protection within complex ecosystems and overcoming obstacles in real-world implementation.
Location Data and the Promise of Anonymization - Panel Discussion
Experts discuss the challenges and limitations of anonymizing geolocation data, exploring regulatory and technical advancements in privacy protection for location information.
The Importance of Engineering Privacy From the Start
Explore strategies for protecting user data and identity in software development, emphasizing the ethical responsibility of engineers as stewards of sensitive information.
Counting with STAR: Shipping a Privacy-Preserving Telemetry System to Millions of Users
Explore Brave's STAR system: an efficient, privacy-preserving telemetry solution. Learn about its development, scalability, and real-world applications in data collection with tunable privacy guarantees.
How to Break, Then Fix, Differential Privacy on Finite Computers
Exploring vulnerabilities in differential privacy implementations, focusing on precision-based attacks and proposing solutions to address floating-point behavior issues in open-source libraries.
Cache-22: Doing Privacy Engineering with Privacy Standards
Explores privacy engineering practices through interviews, highlighting diverse responsibilities, use of standards, and organizational relationships. Reveals focus on legal compliance over policy development.
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.
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.
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.
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.
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.
Security and Privacy in AI Production - Panel Discussion
Explore AI security risks, privacy engineering, and ethical implications with industry experts. Gain insights on balancing utility and privacy in the evolving AI landscape.
Codifying Privacy: How to Follow Through On Your Privacy Promises
Learn practical approaches to implement privacy promises in software development, focusing on embedding privacy in CI/CD pipelines and overcoming common hurdles to ensure data handling aligns with user-facing policies.
Privacy and Zero-Knowledge Proofs - Session Overview
Explore privacy and Zero-Knowledge Proofs (ZKP) in this comprehensive session, covering fundamental concepts and advanced applications in cryptography and blockchain technology.
Privacy by Design Lessons from Beyoncé
Explore privacy engineering best practices and future trends through the lens of Beyoncé's approach, reflecting on GDPR's impact and emerging privacy regulations.
Building an Automated Machine for Discovering Privacy Violations at Scale
Exploring static analysis techniques for detecting and fixing privacy leaks in large codebases, addressing challenges in building privacy-focused tools for developers and privacy engineers.
All Our APIs Are Belong to Us
Explores Snapchat's strategies to protect users from third-party API abuse, detailing server-side and client-side defenses, their effectiveness, and lessons learned in the ongoing security challenge.
Differential Privacy at Scale - Uber and Berkeley Collaboration - USENIX Enigma - 2018
Collaboration between Uber and Berkeley researchers on scaling differential privacy, resulting in open-source releases and practical solutions for privacy-preserving data analysis in real-world scenarios.
Data Ethics and Privacy Engineering in Cybersecurity
Explore data ethics and privacy engineering in cybersecurity, focusing on ethical considerations, stakeholder expectations, and practical applications to create better security products.
From Privacy by Design to Data Protection by Design - The Challenges of Turning Good Practice into a Legal Obligation
Exploring challenges of implementing Data Protection by Design under GDPR, including legal obligations, assessment criteria, and the role of privacy engineering in meeting comprehensive demands.
Practical Data Privacy
Explore practical implementation of privacy technology in software, covering theories, open-source libraries, and examples to kickstart your journey into privacy engineering.