Yechao Zhang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Landmark Detection

Hashing Algorithm

File Organization

Top Venues

Publications

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 (2024)
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 (2024)
Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning. ACM Multimedia (2023)
Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning. CoRR (2023)
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 (2023)
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)
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 (2023)
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)
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 (2022)
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 (2022)
Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation. CoRR (2022)
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)
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)