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Home/Authors/Yifan Ding

Yifan Ding

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

Crypto×4NLP×2AI×2Vision×1ML×1

Frequent co-authors

Yunhao Feng3×
Yanming Guo3×
Yingshui Tan3×
Yixu Wang3×
Wenke Huang3×
Xingjun Ma3×

Research Timeline

2026
SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems

SkillTrojan introduces a novel backdoor attack targeting the composition of reusable skills in agent systems, demonstrating high attack success rates with minimal impact on normal system functionality.

DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models

DarkLLM introduces a novel framework that uses a Large Language Model (LLM) to translate natural language instructions into flexible, latent adversarial attack vectors, demonstrating a systemic vulnerability across diverse foundation models.

BraveGuard: From Open-World Threats to Safer Computer-Use Agents

BraveGuard is a self-evolving defense framework that improves the safety of computer-use agents by training guard models on open-world, multi-step threat trajectories rather than static benchmarks.

BraveGuard: From Open-World Threats to Safer Computer-Use Agents

BraveGuard is a self-evolving defense framework that significantly improves the safety monitoring of computer-use agents by generating guard model supervision from open-world threat discovery and realistic, multi-step execution trajectories.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.CLRecentMay 31, 2026

BraveGuard: From Open-World Threats to Safer Computer-Use Agents

Yunhao Feng, Yifan Ding, Xiaohu Du, Ming Wen +12 more

BraveGuard is a self-evolving defense framework that improves the safety of computer-use agents by training guard models on open-world, multi-step threat trajectories rather than static benchmarks.

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cs.CRcs.CLRecentMay 31, 2026

BraveGuard: From Open-World Threats to Safer Computer-Use Agents

Yunhao Feng, Xiaohu Du, Xinhao Deng, Yifan Ding +12 more

BraveGuard is a self-evolving defense framework that significantly improves the safety monitoring of computer-use agents by generating guard model supervision from open-world threat discovery and real…

View →
cs.CRcs.AIcs.CVRecentMay 15, 2026

DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models

Ye Sun, Xin Wang, Jiaming Zhang, Yifeng Gao +6 more

DarkLLM introduces a novel framework that uses a Large Language Model (LLM) to translate natural language instructions into flexible, latent adversarial attack vectors, demonstrating a systemic vulner…

View →
cs.CRcs.AIRecentApr 8, 2026

SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems

Yunhao Feng, Yifan Ding, Yingshui Tan, Boren Zheng +5 more

SkillTrojan introduces a novel backdoor attack targeting the composition of reusable skills in agent systems, demonstrating high attack success rates with minimal impact on normal system functionality…

View →