
Explore CNN-based methods for detecting manipulated facial images, including Deepfakes and face merging. Learn effective techniques using low-level and high-level features for automatic detection of facial manipulation.

Explore a framework enhancing Differential Privacy usability, allowing practitioners to visualize privacy-utility trade-offs and simplify complex concepts for better implementation and understanding.

Expert panel discusses security, privacy, ethical, and legal issues of digital contact tracing systems for COVID-19, sharing experiences in development and analysis of these technologies.

Explores how traditional security measures fail victims of domestic violence and the need to rethink security approaches for vulnerable populations facing proximity-based threats.

Exploring cryptography's political and moral dimensions, emphasizing its power to reshape societal structures and calling for a renewed focus on addressing mass surveillance through innovative research and ethical considerations.

Legal experts from the Electronic Frontier Foundation discuss digital rights, privacy, and cybersecurity issues in an informative Q&A session at ShmooCon 2017.

Análisis de implementaciones engañosas que comprometen la privacidad y seguridad de la información, explorando vulnerabilidades y mejores prácticas en ciberseguridad.

Explore democracy and mass surveillance in the post-Snowden era, examining the impact on privacy, security, and civil liberties in this thought-provoking DefCamp 2014 conference talk.

Explorez les enjeux actuels de la confidentialité en ligne, entre battage médiatique et besoins réels, dans le contexte de la cybersécurité et de la protection des données.

Explore techniques for developing privacy-preserving algorithms and mechanisms, focusing on differential privacy principles and their practical applications.

Exploring user comprehension and data sharing decisions in differential privacy, focusing on effective communication strategies for laypersons in health app settings.

Explores data recovery attacks on encrypted databases supporting k-nearest neighbor queries, analyzing feasibility of exact reconstruction and proposing practical approximate reconstruction methods for spatial data.

Explores local differential privacy for key-value data collection, proposing PrivKV, PrivKVM, and PrivKVM+ solutions to improve estimation accuracy while preserving user privacy in distributed data collection.

Explore techniques for mining frequent itemsets while preserving user privacy through Local Differential Privacy. Learn about PSFO protocols and the SVIM method for improved efficiency and accuracy.

Explore machine-checked proofs for privacy in electronic voting, focusing on the Helios protocol family. Learn about computational model analysis and formalization challenges.

Explore smartphone CPU vulnerabilities that compromise security and privacy, revealing potential threats to sensitive data and personal information without requiring permissions.

IOT, Metaverse ve geleceğin evlerinin şekillenmesi üzerine bir inceleme. Metaverse'ün gerçek dünyaya etkisi ve gizlilik konularını ele alan bilgilendirici bir sunum.

Innovative ad exchange system offering privacy, verifiability, and efficiency. Enhances transparency in online advertising while maintaining speed and scalability for real-world implementation.

Explore recent adversarial techniques to protect facial biometrics, including an open-source mobile app demonstration for real-world privacy preservation against facial recognition.

Explore innovative cybersecurity strategies addressing critical infrastructure vulnerabilities, public health issues, and workforce shortages with industry experts Joshua Corman and Beau Woods.

Explore cutting-edge research on privacy in computing, covering topics like data protection, anonymity, and secure systems in this ACM paper session.