Conference Brief — 2026-09-29
LLM assistance in reverse engineering, side-channel device tracking in exclusive-use IoT, and defensive measures for differentially private streams and iteratively pruned deep neural networks.
LLM assistance in reverse engineering, side-channel device tracking in exclusive-use IoT, and defensive measures for differentially private streams and iteratively pruned deep neural networks.
New insights into WebView privacy leaks, kernel cache exploitation, and HTTP/2 cross-origin attacks.
New findings on app promotion malware, membership inference attacks, and CSS-based browser fingerprinting.
New vulnerabilities in eBPF, WebGPU fuzzing, and backdoor attacks on LLM-powered robots.
New findings spanning LLM cache poisoning, npm prototype pollution, and kernel compartmentalization with PKS.