activity
20212026
most citedLLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers

7 citations · 15 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CR2026

Understanding the Stealthy BGP Hijacking Risk in the ROV Era

Yihao Chen, Qi Li, Ke Xu +2

The partial deployment of Route Origin Validation (ROV) poses an unexpected security threat known as stealthy BGP hijacking, i.e., a particularly elusive form of BGP hijacking wher…

cs.CR2025

A Hard-Label Black-Box Evasion Attack against ML-based Malicious Traffic Detection Systems

Zixuan Liu, Yi Zhao, Zhuotao Liu +4

Machine Learning (ML)-based malicious traffic detection is a promising security paradigm. It outperforms rule-based traditional detection by identifying various advanced attacks. H…

cs.AI2025

SafeSearch: Automated Red-Teaming of LLM-Based Search Agents

Jianshuo Dong, Sheng Guo, Hao Wang +6

Search agents connect LLMs to the Internet, enabling them to access broader and more up-to-date information. However, this also introduces a new threat surface: unreliable search r…

cs.NI2025

Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane

Yinchao Zhang, Su Yao, Yong Feng +9

The paradigm of Intelligent DataPlane (IDP) embeds deep learning (DL) models on the network dataplane to enable intelligent traffic analysis at line-speed. However, the current use…

cs.CR2025

Towards Robust Multi-tab Website Fingerprinting

Xinhao Deng, Xiyuan Zhao, Qilei Yin +5

Website fingerprinting enables an eavesdropper to determine which websites a user is visiting over an encrypted connection. State-of-the-art website fingerprinting (WF) attacks hav…

cs.CR2024

Towards Fine-Grained Webpage Fingerprinting at Scale

Xiyuan Zhao, Xinhao Deng, Qi Li +4

Website Fingerprinting (WF) attacks can effectively identify the websites visited by Tor clients via analyzing encrypted traffic patterns. Existing attacks focus on identifying dif…