output
20022026
most citedDeep Isolation Forest for Anomaly Detection

541 citations

Showing cs.CRShow all

38 papers · 1 filter

cs.CR2026

Towards Scalable Fuzzy PSI via Efficient Fuzzy Matching

Meng Hao, Xinpeng Yang, Hanxiao Chen +5

In this paper, we present scalable fuzzy PSI protocols for general distance, supporting both low- and high-dimensional sets. The core technique is two effic…

cs.CR2026★ 1 cited

Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework

Zhaoqi Wang, Daqing He, Zijian Zhang +13

While retrieval-augmented generation systems partially address the hallucination issues in large language models, it also introduces new vulnerabilities to knowledge corruption att…

cs.CR2026

PriSrv+: Privacy and Usability-Enhanced Wireless Service Discovery with Fast and Expressive Matchmaking Encryption

Yang Yang, Guomin Yang, Yingjiu Li +6

Service discovery is a fundamental process in wireless networks, enabling devices to find and communicate with services dynamically, and is critical for the seamless operation of m…

cs.CR2026★ 4 cited

PriSrv: Privacy-Enhanced and Highly Usable Service Discovery in Wireless Communications

Yang Yang, Robert H. Deng, Guomin Yang +5

Service discovery is essential in wireless communications. However, existing protocols provide limited privacy protection, leaking sensitive device information and opening routes t…

cs.CR2025

Developing a Strong CPS Defender: An Evolutionary Approach

Qingyuan Hu, Christopher M. Poskitt, Jun Sun +1

Cyber-physical systems (CPSs) are used extensively in critical infrastructure, underscoring the need for anomaly detection systems that are able to catch even the most motivated at…

cs.CR2025

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses?

Yikun Li, Ngoc Tan Bui, Ting Zhang +16

Automated vulnerability detection research has made substantial progress, yet its real-world impact remains limited. Prior work found that current vulnerability datasets suffer fro…