14 citations · 42 across the 26 of their papers we have counts for
7 papers · 1 filter
DiagChain: A Diagnostic Benchmark for Evaluating LLM Agents on Evidence-Grounded Attack Chain Reconstruction
Xuyang Liu, Yibin Han, Zhenwei Zhang +8
Large Language Model (LLM) agents offer a promising approach to attack chain reconstruction by retrieving and interpreting heterogeneous telemetry to infer ordered attacker actions…
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…
Ancora: Accurate Intrusion Recovery for Web Applications
Yihao Peng, Biao Ma, Hai Wan +1
Modern web application recovery presents a critical dilemma. Coarse-grained snapshot rollbacks cause unacceptable data loss for legitimate users. Surgically removing an attack's im…
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…
LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree
Zhiyang Cheng, Zizhen Zhu, Haoran Dang +2
In recent years, cyber attacks have become increasingly sophisticated and persistent. Detection and investigation based on the provenance graph can effectively mitigate cyber intru…
LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection
Xiaoxiao Liu, Fan Xu, Nan Wang +4
Advanced Persistent Threat (APT) is challenging to detect due to prolonged duration, infrequent occurrence, and adept concealment techniques. Existing approaches primarily concentr…
TBDetector:Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph
Nan Wang, Xuezhi Wen, Dalin Zhang +7
APT detection is difficult to detect due to the long-term latency, covert and slow multistage attack patterns of Advanced Persistent Threat (APT). To tackle these issues, we propos…