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Yihua Zhang
Yihua Zhang
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Title
Cited by
Cited by
Year
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Y Zhang, G Zhang, P Khanduri, M Hong, S Chang, S Liu
Proceedings of the 39th International Conference on Machine Learning, 26693 …, 2022
632022
Understanding and improving visual prompting: A label-mapping perspective
A Chen, Y Yao, PY Chen, Y Zhang, S Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
342023
Advancing Model Pruning via Bi-level Optimization
Y Zhang, Y Yao, P Ram, P Zhao, T Chen, M Hong, Y Wang, S Liu
Advances in Neural Information Processing Systems (NeurIPS), 2022
292022
A pilot study of query-free adversarial attack against stable diffusion
H Zhuang, Y Zhang, S Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
272023
Quarantine: Sparsity can uncover the trojan attack trigger for free
T Chen, Z Zhang, Y Zhang, S Chang, S Liu, Z Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
212022
Fairness Reprogramming
G Zhang, Y Zhang, Y Zhang, W Fan, Q Li, S Liu, S Chang
Advances in Neural Information Processing Systems (NeurIPS), 2022
202022
An introduction to bi-level optimization: Foundations and applications in signal processing and machine learning
Y Zhang, P Khanduri, I Tsaknakis, Y Yao, M Hong, S Liu
arXiv preprint arXiv:2308.00788, 2023
92023
Textgrad: Advancing robustness evaluation in nlp by gradient-driven optimization
B Hou, J Jia, Y Zhang, G Zhang, Y Zhang, S Liu, S Chang
arXiv preprint arXiv:2212.09254, 2022
92022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
G Zhang, S Lu, Y Zhang, X Chen, PY Chen, L Martie, L Horesh, M Hong, ...
92022
To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images... for now
Y Zhang, J Jia, X Chen, A Chen, Y Zhang, J Liu, K Ding, S Liu
arXiv preprint arXiv:2310.11868, 2023
82023
Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation
C Fan, J Liu, Y Zhang, D Wei, E Wong, S Liu
arXiv preprint arXiv:2310.12508, 2023
62023
Linearly constrained bilevel optimization: A smoothed implicit gradient approach
P Khanduri, I Tsaknakis, Y Zhang, J Liu, S Liu, J Zhang, M Hong
International Conference on Machine Learning, 16291-16325, 2023
62023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
Y Zhang, P Sharma, P Ram, M Hong, K Varshney, S Liu
The Eleventh International Conference on Learning Representations (ICLR 2023), 2023
42023
Deepzero: Scaling up zeroth-order optimization for deep model training
A Chen, Y Zhang, J Jia, J Diffenderfer, J Liu, K Parasyris, Y Zhang, ...
arXiv preprint arXiv:2310.02025, 2023
32023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Y Zhang, Y Zhang, A Chen, J Liu, G Liu, M Hong, S Chang, S Liu
Advances in Neural Information Processing Systems 36, 2024
22024
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models
Y Zhang, Y Zhang, Y Yao, J Jia, J Liu, X Liu, S Liu
arXiv preprint arXiv:2402.11846, 2024
12024
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
C Jin, T Huang, Y Zhang, M Pechenizkiy, S Liu, S Liu, T Chen
arXiv preprint arXiv:2312.01397, 2023
12023
Visual Prompting Reimagined: The Power of Activation Prompts
Y Zhang, H Li, Y Yao, A Chen, S Zhang, PY Chen, M Wang, S Liu
12023
Robustness-Preserving Lifelong Learning Via Dataset Condensation
J Jia, Y Zhang, D Song, S Liu, A Hero
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
12023
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Y Zhang, R Cai, T Chen, G Zhang, H Zhang, PY Chen, S Chang, Z Wang, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision, 90-101, 2023
12023
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