Yechao Zhang

According to our database, Yechao Zhang authored at least 12 papers between 2021 and 2024.

Collaborative distances:

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

2024

Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need.

Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin

CoRR, 2024

Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples.

Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability.

Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics.

Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification.

Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin

Proceedings of the Computer Security - ESORICS 2024, 2024

2023

Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training.

Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin

CoRR, 2023

AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning.

Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin

Proceedings of the 31st ACM International Conference on Multimedia, 2023

PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness.

Shengshan Hu, Wei Liu, Minghui Li, Yechao Zhang, Xiaogeng Liu, Xianlong Wang, Leo Yu Zhang, Junhui Hou

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation.

Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu

CoRR, 2022

BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label.

Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer.

Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch.

Shengshan Hu, Yechao Zhang, Xiaogeng Liu, Leo Yu Zhang, Minghui Li, Hai Jin

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021