Author

Shou-Ling Ji

h-index 5 View on Semantic Scholar

We have 3 of 11 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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

#artificial intelligence Preprint Sep 2026

HazardAuditor: From Executable Threats to Safer Computer-Use Agents

HazardAuditor is introduced, an execution-grounded framework that runs heterogeneous agents in controlled environments and normalizes their interactions into a canonical event representation for cross-framework supervision, and observes that token-level post-training objectives create a structural mismatch for generati...

Yun-Hao Feng, Rui-Xiao Lin, Ming Wen et al. · 0 citations

#artificial intelligence Book Feb 2024

SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems

This study unveils the capability of attackers to generate adversarial policies even when restricted to partial observations of the victims in multi-agent competitive environments, and proposes a novel black-box attack (SUB-PLAY) that incorporates the concept of constructing multiple subgames to mitigate the impact of...

Oubo Ma, Yuwen Pu, L. Du et al. · Conference on Computer and C... · 16 citations