3 papers
cs.CR2026
Psyzkaller: Learning from Historical and On-the-Fly Execution Data for Smarter Seed Generation in OS kernel Fuzzing
Boyu Liu, Yang Zhang, Liang Cheng +6
OS Kernel fuzzers such as Syzkaller often struggle to generate syscall sequences that respect intrinsic Syscall Dependency Relations (SDRs), resulting in seeds that either violate…
cs.CR2025
Automatic Generation of a Cryptography Misuse Taxonomy Using Large Language Models
Yang Zhang, Wenyi Ouyang, Yi Zhang +3
The prevalence of cryptographic API misuse (CAM) is compromising the effectiveness of cryptography and in turn the security of modern systems and applications. Despite extensive ef…
quant-ph2025
Statistical Invisibility of a Physical Attack on QRNGs After Randomness Extraction
Yi-Fan Chen, Dong Wang, Yi-Bo Zhao +3
Current prevailing designs of quantum random number generators (QRNGs) designs typically employ post-processing techniques to distill raw random data, followed by statistical verif…