2 papers
cs.CR2025
CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection
Zhihao Li, Zimo Ji, Tao Zheng +2
Cryptographic algorithms are fundamental to modern security, yet their implementations frequently harbor subtle logic flaws that are hard to detect. We introduce CryptoScope, a nov…
cs.LG2025
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu, Jiaze Li, Wanyi Wu +1
Federated Learning (FL) suffers from severe performance degradation due to the data heterogeneity among clients. Existing works reveal that the fundamental reason is that data hete…