Cryptographically Secure Data Analysis for Social Good
Secure multi-party computation enables analysis of sensitive salary data to calculate pay disparities while maintaining confidentiality, demonstrating potential for social impact in privacy-constrained contexts.
Going Nuclear - Programmatic Protections against Extreme Vetting, Social Pressures, and Coercion
Explore programmatic options for protecting sensitive data against forced access, including a "nuclear" option to revoke access and wipe data when under threat.
Brain Waves Surfing - Insecurity in EEG Technologies
Explore the vulnerabilities in EEG technologies and their potential impact on brain-computer interfaces, neurosecurity, and privacy in this eye-opening presentation by Alejandro Hernandez.
The Social Credit System
Analyse des systèmes de crédit social chinois, leurs implémentations et impacts potentiels sur la société et l'économie, à travers une modélisation par agents et une perspective technique nuancée.
How Facebook Tracks You on Android
Uncover Facebook's Android tracking methods, analyze decrypted data, and learn how apps share user information, with a call to action for improved privacy practices.
Internet of Dongs
Explore vulnerabilities in smart sex toys, revealing privacy risks and security flaws in apps, backends, and hardware. Gain insights into the teledildonics industry's data handling practices.
Funkzellenabfrage- Die Alltägliche Rasterfahndung Unserer Handydaten
Erläutert Massenüberwachung durch Funkzellenabfragen und stellt ein Transparenz-System vor, das Licht in diese umstrittene Praxis der Behörden bringen soll.
Scraping Leaky Browsers for Fun and Passwords
Explore techniques for extracting sensitive data from browser memory dumps, including passwords and session tokens, with insights on potential solutions and vendor responses.
How Anonymous Is My Anonymized Data?
Explores data anonymization challenges, focusing on relationships between fields and external information that can compromise privacy. Discusses risk assessment and strategies for protecting sensitive data.
It's Not "Our" Data- Do We Want to Create a World of No Surprises? - Denelle Dixon - USENIX Enigma Conference - 2019
Explore data practices, localization, and ethical challenges in the digital age. Learn about Lean Data Principles and ecosystem challenges for a more responsible data-driven world.
Building a Secure Data Market on Blockchain - USENIX Enigma 2019
Explore blockchain-based secure data markets for privacy-preserving analytics and machine learning, addressing challenges and showcasing real-world applications in healthcare and beyond.
Protegiendo nuestra privacidad frente al capitalismo de vigilancia ▪ Ekoparty 2021: BlueSpace
Análisis del capitalismo de vigilancia: origen, evolución, métodos de recolección de datos, implicaciones para usuarios y democracia, y estrategias de protección de la privacidad.
Corona-Warn-App
Explore the Corona-Warn-App's architecture, focusing on data privacy, security, and invisible aspects like plausible deniability and risk calculation. Learn about backend design and protection measures.
Hiding From Big Brother Using Distributed Steganography
Learn techniques for hiding data from surveillance using distributed steganography, exploring methods like hidden files, alternate data streams, and encryption combined with steganographic approaches.
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.
Dissecting Mobile Application Privacy and Analytics
Explore mobile app data collection, privacy concerns, and analytics practices. Learn to assess and safeguard personal and client information in popular applications.
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.
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.
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.
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.
The Nightmare Videos of Children's YouTube - And What's Wrong with the Internet Today
Explore the dark side of children's YouTube content, its impact on young minds, and the broader implications for our data-driven world. Gain insights into the exploitation of technology and its effects on society.