arXiv Brief — 2026-09-24
New perspectives on LLM cryptographic capabilities, agent oversight bypasses, and hardware fuzzing paradigms.
New perspectives on LLM cryptographic capabilities, agent oversight bypasses, and hardware fuzzing paradigms.
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.
New findings on diffusion model membership inference, distributed system fuzzing, LLM safety alignment limitations, BLE re-pairing flaws, and hypervisor cross-domain exploitation.
New findings spanning library fuzzing, BACnet protocol vulnerabilities, OLE document security, backdoors in machine learning, risks in AI character platforms, and cloud app-in-app resource isolation.