
Explore techniques for reconstructing training data using informed adversaries, examining potential vulnerabilities in machine learning models and privacy implications.

Explore techniques for inferring properties from poisoned data, examining implications for privacy and security in machine learning systems.

Explore a novel defense against website fingerprinting attacks using Surakav, a technique for generating realistic network traces to enhance online privacy and security.

Explore a novel data leakage technique exploiting memory-dependent prefetchers, revealing vulnerabilities in modern processors and implications for cybersecurity.

Explore invisible hacks and reluctant patching in software security, focusing on Trojan Source attacks and the challenges of addressing hidden vulnerabilities in code.

Explore techniques for identifying state-sponsored troll accounts on Reddit, examining detection methods, challenges, and implications for online discourse and platform integrity.

Explore covert communication channels in applications, focusing on security foundations, techniques, and potential implications for network security and privacy.

Explore the fundamentals of membership inference attacks, their implications, and defense strategies in this comprehensive IEEE talk by leading security researchers.

Explore backdoor attacks on pre-trained encoders in self-supervised learning, examining vulnerabilities and potential security risks in AI systems.

Explore imperceptible attacks on natural language processing systems, examining vulnerabilities and potential defenses in AI-driven text analysis.

Experts discuss insights on the peer review process for security papers, exploring flaws and potential improvements in academic evaluation.

Explore VERSA, a novel approach to safeguarding sensed data from malicious sensors, ensuring privacy protection from the moment of data collection in IoT and cyber-physical systems.

Explore hybrid stateful fuzzing techniques for USB gadget stacks, enhancing security testing and vulnerability detection in USB device implementations.

Explore effective seed scheduling for fuzzing using graph centrality analysis, enhancing software testing efficiency and vulnerability detection.

Explore techniques for identifying and exploiting vulnerabilities in swarm algorithms, enhancing cybersecurity in distributed systems and AI applications.

Explore system-level tamper detection for computing systems using anti-tamper radio technology. Learn innovative approaches to enhance security and protect against physical attacks on sensitive hardware.

Explore IRShield, an innovative countermeasure against adversarial physical-layer wireless sensing, presented by experts from leading institutions in security and privacy research.

Explore a novel attack on capacitive touchscreens, understanding its mechanisms, implications for device security, and potential countermeasures.

Explore adversarial examples in proof-of-learning systems, examining their impact on security and potential countermeasures in this cutting-edge IEEE presentation.

Explore techniques for attacking and generating honeywords, enhancing cybersecurity knowledge and strategies for protecting sensitive information.

Explore innovative graph neural network techniques for detecting web tracking and advertising, enhancing online privacy and user experience.