Leo Yu Zhang

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Hai Jin 0001

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Publications

2025
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Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin:
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors. AAAI 2025: 1201-1209
[i60]
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  - journals/corr/abs-2510-24195
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Ziqi Zhou, Yifan Hu, Yufei Song, Zijing Li, Shengshan Hu, Leo Yu Zhang, Dezhong Yao, Long Zheng, Hai Jin:
Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2. CoRR abs/2510.24195 (2025)
2024
[j61]
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  - journals/tifs/LuHWLZXJ24
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Jianrong Lu, Shengshan Hu, Wei Wan, Minghui Li, Leo Yu Zhang, Lulu Xue, Hai Jin:
Depriving the Survival Space of Adversaries Against Poisoned Gradients in Federated Learning. IEEE Trans. Inf. Forensics Secur. 19: 5405-5418 (2024)
[c48]
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Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin:
ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification. ESORICS (1) 2024: 146-166
[c47]
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  - conf/icassp/WanNHXLZ024
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Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin:
MISA: Unveiling the Vulnerabilities in Split Federated Learning. ICASSP 2024: 6435-6439
[c42]
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  - conf/nips/0001SLH0Z0024
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Ziqi Zhou, Yufei Song, Minghui Li, Shengshan Hu, Xianlong Wang, Leo Yu Zhang, Dezhong Yao, Hai Jin:
DarkSAM: Fooling Segment Anything Model to Segment Nothing. NeurIPS 2024
[c40]
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  - conf/sp/ZhouLLHZWXZYJ24
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Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin:
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples. SP 2024: 3015-3033
[c39]
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  - conf/sp/ZhangHZSLLWJ24
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Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin:
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability. SP 2024: 3365-3384
[i54]
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  - journals/corr/abs-2403-10801
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Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin:
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples. CoRR abs/2403.10801 (2024)
[i47]
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  - journals/corr/abs-2406-15093
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Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin:
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification. CoRR abs/2406.15093 (2024)
[i45]
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  - journals/corr/abs-2409-17874
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Ziqi Zhou, Yufei Song, Minghui Li, Shengshan Hu, Xianlong Wang, Leo Yu Zhang, Dezhong Yao, Hai Jin:
DarkSAM: Fooling Segment Anything Model to Segment Nothing. CoRR abs/2409.17874 (2024)
[i40]
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  - journals/corr/abs-2412-16955
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Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin:
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors. CoRR abs/2412.16955 (2024)
2023
[c37]
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  - conf/aaai/HuZLHLZ0023
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Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun:
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. AAAI 2023: 872-880
[c29]
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  - conf/iccv/ZhouHZ0ZH023
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Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin:
Downstream-agnostic Adversarial Examples. ICCV 2023: 4322-4332
[c25]
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Wei Wan, Shengshan Hu, Minghui Li, Jianrong Lu, Longling Zhang, Leo Yu Zhang, Hai Jin:
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning. ACM Multimedia 2023: 7394-7402
[i36]
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  - journals/corr/abs-2307-07873
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Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin:
Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training. CoRR abs/2307.07873 (2023)
[i35]
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  - journals/corr/abs-2307-12280
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Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin:
Downstream-agnostic Adversarial Examples. CoRR abs/2307.12280 (2023)
[i34]
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  - journals/corr/abs-2308-03331
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Wei Wan, Shengshan Hu, Minghui Li, Jianrong Lu, Longling Zhang, Leo Yu Zhang, Hai Jin:
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning. CoRR abs/2308.03331 (2023)
[i29]
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  - journals/corr/abs-2311-18403
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Xianlong Wang, Shengshan Hu, Minghui Li, Zhifei Yu, Ziqi Zhou, Leo Yu Zhang, Hai Jin:
Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations. CoRR abs/2311.18403 (2023)
[i27]
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  - journals/corr/abs-2312-11026
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Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin:
MISA: Unveiling the Vulnerabilities in Split Federated Learning. CoRR abs/2312.11026 (2023)
2022
[c21]
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  - conf/cvpr/HuLZLZ0W22
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Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu:
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. CVPR 2022: 14994-15003
[c17]
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Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He:
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. IJCAI 2022: 753-760
[c15]
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  - conf/mm/HuZZZZH022
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Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin:
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label. ACM Multimedia 2022: 678-686
[i25]
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  - journals/corr/abs-2203-03121
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Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu:
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. CoRR abs/2203.03121 (2022)
[i22]
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  - journals/corr/abs-2204-13256
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Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He:
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. CoRR abs/2204.13256 (2022)
[i20]
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  - journals/corr/abs-2207-00278
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Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin:
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label. CoRR abs/2207.00278 (2022)
[i17]
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  - journals/corr/abs-2211-12294
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Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun:
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples. CoRR abs/2211.12294 (2022)
2021
[c9]
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  - conf/mm/HuZLZLJ21
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Shengshan Hu, Yechao Zhang, Xiaogeng Liu, Leo Yu Zhang, Minghui Li, Hai Jin:
AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch. ACM Multimedia 2021: 2335-2343

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