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2020 – today
- 2024
[c9]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- [c8]Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang:
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics. SP 2024: 2048-2066 - [c7]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 - [c6]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 - [i9]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) - [i8]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) - [i7]Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin:
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need. CoRR abs/2410.03644 (2024) - 2023
- [c5]Shengshan Hu, Wei Liu, Minghui Li, Yechao Zhang, Xiaogeng Liu, Xianlong Wang, Leo Yu Zhang, Junhui Hou:
PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness. ACM Multimedia 2023: 666-675 - [c4]Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin:
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning. ACM Multimedia 2023: 6311-6320 - [i6]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) - [i5]Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin:
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning. CoRR abs/2308.07026 (2023) - [i4]Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang:
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics. CoRR abs/2312.02673 (2023) - 2022
- [c3]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 - [c2]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 - [i3]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) - [i2]Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu:
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation. CoRR abs/2203.03810 (2022) - [i1]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) - 2021
- [c1]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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