Author

Qing-Ming Li

3 papers indexed here

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2026

Action-Level Backdoor Attacks Against Deep Reinforcement Learning Systems via Adaptive Reward Exploration

Deep Reinforcement Learning (DRL) has demonstrated remarkable capabilities in domains such as robotics, finance, and autonomous systems. With the increasing cost of training, DRL models are increasingly shared and reused via model marketplaces, cloud platforms, and open-source repositories. This trend exposes DRL syste...

Ou-Bo Ma, L. Du, Yang Dai et al. · IEEE Transactions on Informa... · 0 citations

Review Open access Aug 2026

A Comparative Survey of Security Risks in AI Systems: From LLMs to AI Agents and Embodied Agents

Rapid AI development across industries raises pressing security and privacy risks. This work presents a unified comparison of large language models, AI agents, and embodied agents, introducing a taxonomy of risks spanning data, models, systems, content, and applications, alongside a catalog of 24 specific threats. We c...

Baiqi Wu, Qing-Ming Li, Chun-Yi Zhou et al. · ACM Computing Surveys · 0 citations

2026

PREFed: An Effective and Stealthy Static-Anchor Backdoor Attack via Trigger Pre-Optimization in Federated Learning

Existing Federated Learning (FL) backdoor attacks commonly employ round-wise proximity strategies, dynamically adapting malicious updates to mimic benign ones in order to evade detection. However, such adaptive mechanisms often introduce instability, increase computational overhead, and create temporal patterns that ma...

Xi Chen, Rui Zeng, Chun-Yi Zhou et al. · IEEE Transactions on Informa... · 0 citations