3 papers
cs.CR2026
T2S: A Rehearsal-Based Approach for Extraction-Resistant Model Watermarking
Jian-Ping Mei, Weibin Zhang, Ao Yao +2
Model watermarking safeguards AI model intellectual property by embedding distinctive knowledge that induces unique behavioral signatures. The primary technical challenge lies in e…
cs.CR2025
OMNISEC: LLM-Driven Provenance-based Intrusion Detection via Retrieval-Augmented Behavior Prompting
Wenrui Cheng, Tiantian Zhu, Shunan Jing +4
Recently, Provenance-based Intrusion Detection Systems (PIDSes) have been widely used for endpoint threat analysis. These studies can be broadly categorized into rule-based detecti…
cs.CR2025
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
Jian-Ping Mei, Weibin Zhang, Jie Chen +2
Malicious users attempt to replicate commercial models functionally at low cost by training a clone model with query responses. It is challenging to timely prevent such model-steal…