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Cong Wang

14 papers hereh-index 4126 citations19 works total

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

author position
  • first author1
  • middle author5
  • last author8

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.AI6
  • cs.CR4
  • cs.LG2
  • cs.CL1
  • cs.RO1
same name
  • Cong Wang — 106 papers, h 5
  • Cong Wang — 21 papers, h 6
  • Cong Wang — 12 papers, h 29
  • Cong Wang — 10 papers, h 5
  • Cong Wang — 10 papers, h 3
  • Cong Wang — 9 papers, h 5

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 citedSafety at Scale: A Comprehensive Survey of Large Model and Agent Safety

1 citations · 1 across the 14 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2026

Agent Hacks Agent: Autoresearch for Production-Agent Red-Teaming

Xutao Mao, Xiang Zheng, Cong Wang

Production LLM agents such as Claude Code and Codex operate over untrusted content, files, commands, and workspace state, making safety failures directly actionable. Red-teaming mu…

cs.CR2026

Sandlock: Confining AI Agent Code with Unprivileged Linux Primitives

Cong Wang, Yusheng Zheng

AI agents increasingly run untrusted code on developer machines: shell commands generated by language models, third-party scripts retrieved at runtime, and tool plugins of unknown…

cs.CR2026

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses

Xiao Li, Xiang Zheng, Yifeng Gao +35

Embodied Artificial Intelligence (Embodied AI) integrates perception, cognition, planning, and interaction into agents that operate in open-world, safety-critical environments. As…

cs.CR2025★ 1 cited

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety

Xingjun Ma, Yifeng Gao, Yixu Wang +45

The rapid advancement of large models, driven by their exceptional abilities in learning and generalization through large-scale pre-training, has reshaped the landscape of Artifici…

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