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Zihao Zhu
Zihao Zhu
Ph.D. Candidate, The Chinese University of Hong Kong, Shenzhen
Verified email at link.cuhk.edu.cn - Homepage
Title
Cited by
Cited by
Year
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
Z Zhu, J Yu, Y Wang, Y Sun, Y Hu, Q Wu
International Joint Conference on Artificial Intelligence (IJCAI) 2020, 2020
1142020
Cross-modal knowledge reasoning for knowledge-based visual question answering
J Yu, Z Zhu, Y Wang, W Zhang, Y Hu, J Tan
Pattern Recognition, 2020
942020
Backdoorbench: A comprehensive benchmark of backdoor learning
B Wu, H Chen, M Zhang, Z Zhu, S Wei, D Yuan, C Shen, H Zha
Neural Information Processing Systems (NeurIPS) 2022, 2022
802022
Adversarial machine learning: A systematic survey of backdoor attack, weight attack and adversarial example
B Wu, L Liu, Z Zhu, Q Liu, Z He, S Lyu
arXiv e-prints, arXiv: 2302.09457, 2023
182023
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
X Jiang, J Yu, Y Sun, Z Qin, Z Zhu, Y Hu, Q Wu
International Joint Conference on Artificial Intelligence (IJCAI) 2020, 2020
132020
Robust backdoor attack with visible, semantic, sample-specific, and compatible triggers
R Wang, H Chen, Z Zhu, L Liu, Y Zhang, Y Fan, B Wu
arXiv preprint arXiv:2306.00816, 2023
92023
Boosting backdoor attack with a learnable poisoning sample selection strategy
Z Zhu, M Zhang, S Wei, L Shen, Y Fan, B Wu
arXiv preprint arXiv:2307.07328, 2023
42023
MCR-NET: A multi-step co-interactive relation network for unanswerable questions on machine reading comprehension
W Peng, Y Hu, J Yu, L Xing, Y Xie, Z Zhu, Y Sun
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
42021
Defenses in adversarial machine learning: A survey
B Wu, S Wei, M Zhu, M Zheng, Z Zhu, M Zhang, H Chen, D Yuan, L Liu, ...
arXiv preprint arXiv:2312.08890, 2023
32023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
B Wu, Z Zhu, L Liu, Q Liu, Z He, S Lyu
arXiv preprint arXiv:2302.09457, 2023
32023
Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning
L Li, S Liang, Z Zhu, X Cao, C Ding, H Zha, B Wu
AAAI conference on artificial intelligence (AAAI) 2024, 2023
32023
From Shallow to Deep: Compositional Reasoning over Graphs for Visual Question Answering
Z Zhu
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022
32022
VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency
Z Zhu, M Zhang, S Wei, B Wu, B Wu
International Conference on Learning Representations (ICLR) 2024, 2023
22023
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
M Zhu, Z Zhu, S Chen, C Chen, B Wu
arXiv preprint arXiv:2401.07208, 2024
12024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
M Zheng, X Yan, Z Zhu, H Chen, B Wu
arXiv preprint arXiv:2312.16979, 2023
12023
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
B Wu, H Chen, M Zhang, Z Zhu, S Wei, D Yuan, M Zhu, R Wang, L Liu, ...
arXiv preprint arXiv:2401.15002, 2024
2024
Supplementary Material of “BackdoorBench: A Comprehensive Benchmark of Backdoor Learning”
B Wu, H Chen, M Zhang, Z Zhu, S Wei, D Yuan, C Shen
Neural Information Processing Systems (NeurIPS) 2022, 2022
2022
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