Datenschutz für Aktivist*innen
Leitfaden zur digitalen Selbstverteidigung für Aktivisten: Datenschutz, Verschlüsselung und praktische Tipps zum Schutz der Privatsphäre bei politischer Teilhabe und Demonstrationen.
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.
Attack Vectors in Biometric Recognition Systems - Mobile Authentication Use Case, Blockchain, and More
Explore vulnerabilities in biometric recognition systems, including mobile authentication, spoofing techniques, and emerging technologies like blockchain, with insights on future developments and security challenges.
Application Logging in the Era of GDPR
Explore application logging best practices in the GDPR era, covering security, privacy, data protection, and compliance recommendations for developers and operations teams.
Security Testing - Is Automation Failing Us?
Explore the challenges of security testing automation and its impact on identity, privacy, and overall system protection in modern software development.
Algorithms, Accountability and Journalism
Explore algorithmic accountability in journalism with Julia Angwin. Discover The Markup's innovative approaches to privacy, data analysis, and investigative reporting on tech companies and societal impacts.
Gender - What the GDPR Does Not Tell Us - But Maybe You Can
Explore gender's complex relationship with privacy, data protection, and AI through feminist perspectives and GDPR analysis. Uncover blind spots in current regulations and technologies.
Systems and Measurement
Exploring online A/B testing, data sharing ethics, fairness in programming, and model performance reporting. Insights into cutting-edge research on responsible AI and data science practices.
Chasing Your Long Tails - Differentially Private Prediction in Health Care Settings
Explore differential privacy in healthcare ML, addressing unique challenges, extreme tradeoffs, and fairness considerations for underrepresented groups in medical datasets.
How to Use Heuristics for Differential Privacy
Learn about differential privacy heuristics, their properties, and applications in machine learning. Explore modular design, universal identification, and privacy analysis techniques.
Leveling Up Through Customer Engagement
Explore strategies for building and maintaining engaged gaming communities, focusing on personalization, social engagement, and innovative retention tactics in the evolving video game industry.
How Has Trump Affected Tech
Experts analyze Trump's impact on tech policy, covering net neutrality, privacy, and surveillance, offering insights on civic engagement and future trends.
Mixed Reality in a Highly Connected World
Explore mixed reality's impact on social interaction, learning, and privacy in our increasingly connected world, with insights from Firefox Reality.
The NSA Responds to Edward Snowden's TED Talk
NSA deputy director responds to Edward Snowden's TED Talk, addressing privacy concerns, security threats, and the balance between transparency and secrecy in intelligence operations.
What's New in Microsoft Cloud for Healthcare
Discover new investments in Microsoft Cloud for Healthcare to enhance patient engagement, empower health team collaboration, and improve clinical insights, transforming healthcare delivery.
Online Tracking - A 1-Million-Site Measurement and Analysis
Comprehensive analysis of online tracking techniques, revealing vulnerabilities and proposing solutions for enhanced web privacy and security.
Secure Stable Matching at Scale
Explore secure stable matching algorithms for large-scale applications, focusing on privacy preservation and efficient computation in scenarios like medical residency matching.
Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy
Explore local differential privacy for heavy hitter estimation on set-valued data. Learn about randomized response, RAPPOR, and the LDPMiner framework for privacy-preserving data analysis.
Advanced Probabilistic Couplings for Differential Privacy
Explore advanced probabilistic couplings for differential privacy, covering composition theorems, program logic, and accuracy-dependent privacy in this in-depth technical presentation.
What's Next for the Voice-Enabled Smart Home
Explore the future of voice-enabled smart homes with industry experts discussing Alexa, privacy, security, and the potential impact on consumer experiences and brand responsibility.
How Will Big Data Drive Competitive Intelligence
Explore how interactive analytics and augmented reality leverage big data for competitive intelligence, addressing challenges like latency, privacy, and data retention in various industries.