arXiv:2606. 03811v1 Announce Type: cross Abstract: A computer worm is malware that spreads on a network by replicating itself from one machine to another.
By Jonas Guan, Tom Blanchard, Hanna Foerster, Hengrui Jia, Gabriel Huang, Nicolas Papernot
arXiv:2403. 15509v3 Announce Type: replace-cross Abstract: Knowledge distillation (KD) has been widely used to improve lightweight AI models by transferring soft-label knowledge from a large teacher model to a student model.
By Phai Vu Dinh, Diep N. Nguyen, Dinh Thai Hoang, Marwan Krunz, Quang Uy Nguyen, Son Pham Bao, Eryk Dutkiewicz
arXiv:2606. 14517v1 Announce Type: cross Abstract: LLM-based guardrails have emerged as a highly effective defense against prompt injection and jailbreak attacks in autonomous agents.
By Yuguang Zhou, Xunguang Wang, Pingchuan Ma, Zhantong Xue, Zhaoyu Wang, Shuai Wang
arXiv:2608. 10349v1 Announce Type: cross Abstract: Machine-learning intrusion-detection studies commonly emphasize predictive accuracy while treating explanation generation as a computationally free post-processing step.
By Abdurrahman Tolay
arXiv:2606. 00134v1 Announce Type: cross Abstract: Intrusion Detection Systems (IDS) in Internet of Things (IoT) environments face significant challenges due to data heterogeneity, lack of labeled data, and limited model interpretability.
By Ambreen Aslam, Maaz Hassan, Bibi Zahra, Muhammad Khuram Shahzad
arXiv:2608.17445v2 Announce Type: replace-cross
Abstract: Most large language model services use stateless defenses, which judge only the current request, to refuse harmful tasks. Decomposition attac...
By Bowen Sun, Zhengyue Zhao, Xiaogeng Liu, Yinzhi Cao, Chaowei Xiao