Yang Bai
Yang Bai
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Cited by
Cited by
Improving Adversarial Robustness via Channel-wise Activation Suppressing
Y Bai, Y Zeng, Y Jiang, ST Xia, X Ma, Y Wang
The International Conference on Learning Representations (ICLR), 2021, 2021
Improving Query Efficiency of Black-box Adversarial Attack
Y Bai, Y Zeng, Y Jiang, Y Wang, ST Xia, W Guo
European Conference on Computer Vision (ECCV), 2020, 2020
Untargeted backdoor watermark: Towards harmless and stealthy dataset copyright protection
Y Li, Y Bai, Y Jiang, Y Yang, ST Xia, B Li
Advances in Neural Information Processing Systems 35, 13238-13250, 2022
Hilbert-based Generative Defense for Adversarial Examples
Y Bai, Y Feng, Y Wang, T Dai, ST Xia, Y Jiang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Query efficient black-box adversarial attack on deep neural networks
Y Bai, Y Wang, Y Zeng, Y Jiang, ST Xia
Pattern Recognition 133, 109037, 2023
BackdoorBox: A python toolbox for backdoor learning
Y Li, M Ya, Y Bai, Y Jiang, ST Xia
ICLR 2023 Workshop on Backdoor Attacks and Defenses in Machine Learning, 2023
Backdoor Defense via Adaptively Splitting Poisoned Dataset
K Gao, Y Bai, J Gu, Y Yang, ST Xia
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Watermark vaccine: Adversarial attacks to prevent watermark removal
X Liu, J Liu, Y Bai, J Gu, T Chen, X Jia, X Cao
European Conference on Computer Vision, 1-17, 2022
Clustering Effect of (Linearized) Adversarial Robust Models
Y Bai, X Yan, Y Jiang, ST Xia, Y Wang
Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), 2021, 2021
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Y Li, L Zhu, X Jia, Y Bai, Y Jiang, ST Xia, X Cao
arXiv preprint arXiv:2208.02820, 2022
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
K Gao, Y Bai, J Gu, ST Xia, P Torr, Z Li, W Liu
The International Conference on Learning Representations (ICLR), 2024, 2024
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization
D Han, X Jia, Y Bai, J Gu, Y Liu, X Cao
arXiv preprint arXiv:2312.04403, 2023
Test-time Adaptation of Residual Blocks against Poisoning and Backdoor Attacks
A Gudibande, X Chen, Y Bai, J Xiong, D Song
CVPR Workshop, 2022, 2022
D2Defend: Dual-Domain based Defense against Adversarial Examples
X Yan, Y Li, T Dai, Y Bai, ST Xia
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Adversarial Robustness for Visual Grounding of Multimodal Large Language Models
K Gao, Y Bai, J Bai, Y Yang, ST Xia
arXiv preprint arXiv:2405.09981, 2024
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples
K Gao, J Gu, Y Bai, ST Xia, P Torr, W Liu, Z Li
arXiv preprint arXiv:2404.16557, 2024
Self-adaptive Feature Fool
X Liu, Y Bai, ST Xia, Y Jiang
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models
Y Bai, G Pei, J Gu, Y Yang, X Ma
arXiv preprint arXiv:2405.05990, 2024
Distributed Adaptive Optimization with Divisible Communication
A Xu, Y Bai
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
Cross Model Parallelism for Faster Bidirectional Training of Large Convolutional Neural Networks
A Xu, Y Bai
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
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