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Ke Xu

10 papers hereh-index 5204 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author7
  • last author2

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CR7
  • cs.AI1
  • cs.CL1
  • cs.NI1
same name
  • Ke Xu — 50 papers, h 43
  • Ke Xu — 20 papers, h 9
  • Ke Xu — 20 papers, h 26
  • Ke Xu — 14 papers, h 20
  • Ke Xu — 14 papers, h 7
  • Ke Xu — 13 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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
Showing 2026Show all

4 papers · 1 filter

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.