3 papers
cs.CR2026
Adversarial Contrastive Learning for LLM Quantization Attacks
Dinghong Song, Zhiwei Xu, Hai Wan +3
Model quantization is critical for deploying large language models (LLMs) on resource-constrained hardware, yet recent work has revealed severe security risks that benign LLMs in f…
cs.NI2025
Versatile yet Efficient Network Traffic Analysis: Offloading Network Foundation Model to SmartNIC
Chungang Lin, Xuying Meng, Tianyu Zuo +9
Pervasive encryption makes large-scale labeling infeasible for traffic analysis, while security operations demand edge analysis to avert service degradation and further vulnerabili…
cs.CR2025
Deep Learning-based Intrusion Detection Systems: A Survey
Zhiwei Xu, Yujuan Wu, Shiheng Wang +5
Intrusion Detection Systems (IDS) have long been a hot topic in the cybersecurity community. In recent years, with the introduction of deep learning (DL) techniques, IDS have made…