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Home/Authors/Can Chen

Can Chen

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2AI×2ML×1NLP×1

Frequent co-authors

Hyo Seo Kim1×
Gang Luo1×
Binghui Wang1×
Yue Duan1×
Ren Wang1×
Yuanhe Zhang1×

Research Timeline

2026
Resource Consumption Threats in Large Language Models

This survey systematically reviews resource consumption threats in large language models (LLMs) to provide a unified view of the problem landscape, from threat induction to mitigation.

MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks

The paper introduces MoCo-EA, an evolutionary attack method that replaces standard crossover with a continuous Bézier curve interpolation to efficiently exploit the connected manifold structure of adversarial examples.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIcs.LGRecentMay 18, 2026

MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks

Hyo Seo Kim, Gang Luo, Can Chen, Binghui Wang +2 more

The paper introduces MoCo-EA, an evolutionary attack method that replaces standard crossover with a continuous Bézier curve interpolation to efficiently exploit the connected manifold structure of adv…

View →
cs.CRcs.AIcs.CLRecentMar 17, 2026

Resource Consumption Threats in Large Language Models

Yuanhe Zhang, Xinyue Wang, Zhican Chen, Weiliu Wang +7 more

This survey systematically reviews resource consumption threats in large language models (LLMs) to provide a unified view of the problem landscape, from threat induction to mitigation.

View →