Privatsphäreschonende Gesundheitsdatenverarbeitung
Erfahre, wie Gesundheitsdaten für Forschungszwecke genutzt werden können, ohne die Privatsphäre zu verletzen. Entdecke innovative Ansätze zum Schutz sensibler Informationen im europäischen Gesundheitsdatenraum.
ELSTER - Nicht nur diebisch, sondern auch neugierig? - Datenschutz und DSGVO-Konformität des Steuererklärungssystems
Untersuche die DSGVO-Konformität des Steuererklärungssystems ELSTER und erfahre mehr über Datenschutzbedenken, behördliche Interaktionen und Informationsfreiheitsanfragen.
Give Data Back - Soll ichs wirklich machen oder lass ichs lieber sein?
Erkunde die ethischen Fragen zur Freigabe persönlicher Daten für KI-Training und die Kontrolle über eigene Informationen in großen Sprachmodellen.
Big Data Row and Column Mixed Permissions Fine Management Practice
Explore fine-grained data permission control using Apache Calcite and Gemini. Learn to extract precise access points and implement multi-dimensional mixed permissions for enhanced data security.
Startups Rethinking Privacy - Lessons from Facebook's First Tech Hub
Explore Facebook's Startup Garage initiative and discover how data startups are innovating in the privacy ecosystem, with key insights and lessons learned.
Build a Better Monster: Morality, Machine Learning and Mass Surveillance
Exploring ethical challenges in tech: mass surveillance, machine learning, and political influence. Discusses potential solutions and reforms for a more responsible digital landscape.
On Enforcing the Digital Immunity of a Large Humanitarian Organization
Explore digital immunity challenges faced by humanitarian organizations, focusing on ICRC's unique operational, technical, legal, and managerial aspects in data handling and security.
Privacy and Access Control for Outsourced Personal Records
Cryptographic system GORAM protects outsourced data secrecy, integrity, and access control while ensuring anonymity and unlinkability, addressing cloud storage security concerns for sensitive applications.
SensorID - Sensor Calibration Fingerprinting for Smartphones
Exploring smartphone sensor calibration fingerprinting as a novel device identification method, demonstrating high effectiveness and potential privacy implications for iOS and Android users.
Privacy Risks with Facebook's PII-Based Targeting
Explore privacy risks in Facebook's PII-based targeting, uncovering vulnerabilities in custom audience features that allow user data inference and de-anonymization. Learn about potential fixes and implications for advertising platforms.
Meddling Middlemen - Empirical Analysis of the Risks of Data-Saving Mobile Browsers
Empirical analysis of data-saving mobile browsers, exploring their effectiveness, impact on usability, and potential security risks. Examines proxy server configurations, privacy concerns, and proposes improved designs.
The Value of Collaboration in Convex Machine Learning with Differential Privacy
Explores collaborative machine learning on distributed private data using differentially-private gradients, quantifying trade-offs between privacy and utility, and validating performance predictions with real-world financial datasets.
Scraping Sticky Leftovers - App User Information Left on Servers After Account Deletion
Explore techniques for identifying and analyzing user data remnants on servers post-account deletion, addressing privacy concerns and data retention practices in mobile applications.
Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems
Explore timing and floating-point vulnerabilities in differential privacy systems, uncovering potential privacy leaks and discussing mitigation strategies for enhanced data protection.
Data Privacy in Trigger-Action IoT Systems
Explore security concerns and innovative solutions for trigger-action IoT systems, focusing on data privacy and the benefits of the GoBot Circuit approach.
Theory Seminar - Differential Privacy in Theory and Practice, Abie Flaxman
Explore differential privacy in the US Census, its impact on data accuracy, and potential improvements. Insights from analyzing test runs and 1940 data application.
How Your Online Activity Reveals Your Secrets
Explore how online activity reveals personal information, the power of algorithms in data analysis, and ethical concerns surrounding big data usage in the digital age.
Data, Privacy and Public Health - Countering COVID-19 with Technology and Trust
Exploring ethical challenges in using data and technology for COVID-19 response, balancing public health benefits with privacy concerns and trust in government interventions.
Sharing Your Healthcare Data Safely - SafeData
Workshop on safely sharing healthcare data for research, exploring safeguards to protect patient privacy while unlocking valuable medical information for public benefit.
Foundations in Compliance for Molecular Genetic Testing Laboratories - Ambry Genetics
Explore key compliance laws for molecular genetic testing labs, covering Anti-Kickback, Stark Law, and HIPAA. Learn practical applications and data privacy considerations in the laboratory setting.
Radioactive Data - Tracing Through Training
Explore a novel technique for detecting dataset usage in model training through imperceptible "radioactive" data markers, offering robust identification even with minimal data exposure.