BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. - Baoyuan Wu; Hongrui Chen; Mingda Zhang; Zihao Zhu 001; Shaokui Wei; Danni Yuan; Chao Shen (NeurIPS, 2022)

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. - Baoyuan Wu; Hongrui Chen; Mingda Zhang; Zihao Zhu 001; Shaokui Wei; Danni Yuan; Chao Shen; Hongyuan Zha (CoRR, 2022)

Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. - Longkang Li; Siyuan Liang; Zihao Zhu 001; Xiaochun Cao; Chris Ding; Hongyuan Zha; Baoyuan Wu (CoRR, 2022)

Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example. - Baoyuan Wu; Li Liu 036; Zihao Zhu 001; Qingshan Liu; Zhaofeng He; Siwei Lyu (CoRR, 2023)

Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers. - Ruotong Wang 008; Hongrui Chen; Zihao Zhu 001; Li Liu 036; Yong Zhang 034; Yanbo Fan; Baoyuan Wu (CoRR, 2023)

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy. - Zihao Zhu 001; Mingda Zhang; Shaokui Wei; Li Shen 008; Yanbo Fan; Baoyuan Wu (CoRR, 2023)

VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency. - Zihao Zhu 001; Mingda Zhang; Shaokui Wei; Bingzhe Wu; Baoyuan Wu (CoRR, 2023)

Defenses in Adversarial Machine Learning: A Survey. - Baoyuan Wu; Shaokui Wei; Mingli Zhu; Meixi Zheng; Zihao Zhu 001; Mingda Zhang; Hongrui Chen; Danni Yuan; Li Liu 036; Qingshan Liu (CoRR, 2023)

Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. - Longkang Li; Siyuan Liang; Zihao Zhu 001; Chris Ding; Hongyuan Zha; Baoyuan Wu (AAAI, 2024)

VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. - Zihao Zhu 001; Mingda Zhang; Shaokui Wei; Bingzhe Wu; Baoyuan Wu (ICLR, 2024)

Enhanced Few-Shot Class-Incremental Learning via Ensemble Models. - Mingli Zhu; Zihao Zhu 001; Sihong Chen; Chen Chen; Baoyuan Wu (CoRR, 2024)

RiskAwareBench: Towards Evaluating Physical Risk Awareness for High-level Planning of LLM-based Embodied Agents. - Zihao Zhu 001; Bingzhe Wu; Zhengyou Zhang; Baoyuan Wu (CoRR, 2024)

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization. - Mingda Zhang; Mingli Zhu; Zihao Zhu 001; Baoyuan Wu (CoRR, 2024)

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing. - Zihao Zhu 001; Hongbao Zhang; Guanzong Wu; Siwei Lyu; Baoyuan Wu (CoRR, 2024)

BoT: Breaking Long Thought Processes of o1-like Large Language Models through Backdoor Attack. - Zihao Zhu 001; Hongbao Zhang; Mingda Zhang; Ruotong Wang 008; Guanzong Wu; Ke Xu; Baoyuan Wu (CoRR, 2025)

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. - Baoyuan Wu; Hongrui Chen; Mingda Zhang; Zihao Zhu 001; Shaokui Wei; Danni Yuan; Mingli Zhu; Ruotong Wang 008; Li Liu 036; Chao Shen (Int. J. Comput. Vis., 2025)

BlackboxBench: A Comprehensive Benchmark of Black-Box Adversarial Attacks. - Meixi Zheng; Xuanchen Yan; Zihao Zhu 001; Hongrui Chen; Baoyuan Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)