activity
20242026
most citedRisk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

13 citations · 13 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CR2026

PriMobiBench: Characterizing Visual Privacy Leakage in VLM-Driven Mobile GUI Agents

Qihang Cen, Tianshuo Cong, Da Song +4

Mobile GUI agents increasingly rely on Vision-Language Models (VLMs) to automate smartphone tasks by interpreting screenshot streams. However, this design introduces serious and un…

cs.NI2026

Mitigating Proxy-Induced Traffic Drift in Website Fingerprinting via Model-Agnostic Traffic Tailoring

Linxiao Yu, Tianyu Cui, Xinhao Deng +4

Website fingerprinting (WF) based on deep learning can effectively identify websites from encrypted traffic. However, users often rely on proxy protocols to bypass censorship, and…

cs.CR2026

Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies

Ruixiao Lin, Xinhao Deng, Qingming Li +12

Self-evolving LLM agent systems, which autonomously update their model parameters, memory, tools, and architectures, introduce a qualitatively new threat landscape in which adversa…

cs.AI2026

DART: Semantic Recoverability for Structured Tool Agents

Ke Yang, Panpan Li, Zonghan Wu +3

When a structured tool agent fails mid-execution, the runtime faces a dilemma: replaying the entire task is safe but wasteful, while restoring from a local checkpoint is efficient…

cs.CR2025

Beyond a Single Perspective: Towards a Realistic Evaluation of Website Fingerprinting Attacks

Xinhao Deng, Jingyou Chen, Linxiao Yu +6

Website Fingerprinting (WF) attacks exploit patterns in encrypted traffic to infer the websites visited by users, posing a serious threat to anonymous communication systems. Althou…

cs.CR2025

Exposing LLM User Privacy via Traffic Fingerprint Analysis: A Study of Privacy Risks in LLM Agent Interactions

Yixiang Zhang, Xinhao Deng, Zhongyi Gu +4

Large Language Models (LLMs) are increasingly deployed as agents that orchestrate tasks and integrate external tools to execute complex workflows. We demonstrate that these interac…

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…

cs.CR2024

Robust and Reliable Early-Stage Website Fingerprinting Attacks via Spatial-Temporal Distribution Analysis

Xinhao Deng, Qi Li, Ke Xu

Website Fingerprinting (WF) attacks identify the websites visited by users by performing traffic analysis, compromising user privacy. Particularly, DL-based WF attacks demonstrate…

cs.CL2024★ 13 cited

Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Tianyu Cui, Yanling Wang, Chuanpu Fu +13

Large language models (LLMs) have strong capabilities in solving diverse natural language processing tasks. However, the safety and security issues of LLM systems have become the m…