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cs.CR2025
Improving Sustainability of Adversarial Examples in Class-Incremental Learning
Taifeng Liu, Xinjing Liu, Liangqiu Dong +3
Current adversarial examples (AEs) are typically designed for static models. However, with the wide application of Class-Incremental Learning (CIL), models are no longer static and…
cs.CR2025
Cutting the Fuse: Actionable APT Attack Blocking in Provenance-based IDS
Weiheng Wu, Wei Qiao, Teng Li +4
Provenance-based Intrusion Detection Systems (PIDS) are a critical line of defense against Advanced Persistent Threats (APTs). However, their practical deployment is crippled by al…