Zihao Zhu

According to our database, Zihao Zhu authored at least 18 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BlackboxBench: A Comprehensive Benchmark of Black-Box Adversarial Attacks.

Meixi Zheng, Xuanchen Yan, Zihao Zhu, Hongrui Chen, Baoyuan Wu

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models.

Zihao Zhu, Xinyu Wu, Gehan Hu, Siwei Lyu, Ke Xu, Baoyuan Wu

CoRR, September, 2025

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning.

Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen

Int. J. Comput. Vis., August, 2025

BoT: Breaking Long Thought Processes of o1-like Large Language Models through Backdoor Attack.

Zihao Zhu, Hongbao Zhang, Mingda Zhang, Ruotong Wang, Guanzong Wu, Ke Xu, Baoyuan Wu

CoRR, February, 2025

2024

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing.

Zihao Zhu, Hongbao Zhang, Guanzong Wu, Siwei Lyu, Baoyuan Wu

CoRR, 2024

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization.

Mingda Zhang, Mingli Zhu, Zihao Zhu, Baoyuan Wu

CoRR, 2024

RiskAwareBench: Towards Evaluating Physical Risk Awareness for High-level Planning of LLM-based Embodied Agents.

Zihao Zhu, Bingzhe Wu, Zhengyou Zhang, Baoyuan Wu

CoRR, 2024

Enhanced Few-Shot Class-Incremental Learning via Ensemble Models.

Mingli Zhu, Zihao Zhu, Sihong Chen, Chen Chen, Baoyuan Wu

CoRR, 2024

VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models.

Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning.

Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Defenses in Adversarial Machine Learning: A Survey.

Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu

CoRR, 2023

VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency.

Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu

CoRR, 2023

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy.

Zihao Zhu, Mingda Zhang, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu

CoRR, 2023

Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers.

Ruotong Wang, Hongrui Chen, Zihao Zhu, Li Liu, Yong Zhang, Yanbo Fan, Baoyuan Wu

CoRR, 2023

Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example.

Baoyuan Wu, Li Liu, Zihao Zhu, Qingshan Liu, Zhaofeng He, Siwei Lyu

CoRR, 2023

2022

Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning.

Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu

CoRR, 2022

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning.

Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha

CoRR, 2022

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning.

Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022