13 citations · 13 across the 6 of their papers we have counts for
7 papers
Robust Conformal Intrusion Detection via Traffic-Aware Calibration and Attack-Orbit Invariance
Zhenpeng Li
Large language models fine-tuned for network intrusion detection emit single-point predictions without statistical validity guarantees. Conformal prediction supplies a finite-sampl…
Non-Degenerate Risk Certification for Automated Security Decisions: A Decision-Contract Theory with ATT\&CK-Aligned Triage as a Worked Instance
Zhenpeng Li
An unconditional risk bound on automated decisions can be satisfied without automating anything, since a selector that never acts drives the bound to zero. We show this is structur…
Post-Hoc Trajectory-Risk Certification for Modular LLM-Based Security Agents
Zhenpeng Li
Autonomous security agents operate as staged pipelines, such as classifying network traffic and then attributing attacks to a specific technique. Split conformal prediction gives e…
Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection
Zhenpeng Li
Large language model (LLM)-based intrusion detection systems (IDS) are increasingly studied for security monitoring, yet their robustness against feasible traffic manipulation rema…
Controllability-Aware Adversarial Examples Against LLM-Based Network Traffic Classifiers
Zhenpeng Li
Large language models (LLMs) are increasingly explored as network intrusion detection classifiers, but their adversarial robustness under realistic attacker constraints remains unc…
Learning Low-dimensional Manifolds for Scoring of Tissue Microarray Images
Donghui Yan, Jian Zou, Zhenpeng Li
Tissue microarray (TMA) images have emerged as an important high-throughput tool for cancer study and the validation of biomarkers. Efforts have been dedicated to further improve t…
K-nearest Neighbor Search by Random Projection Forests
Donghui Yan, Yingjie Wang, Jin Wang +2
K-nearest neighbor (kNN) search has wide applications in many areas, including data mining, machine learning, statistics and many applied domains. Inspired by the success of ensemb…