Ikuti
Yihua Zhang
Yihua Zhang
Ph.D. Student, Michigan State University
Email yang diverifikasi di msu.edu - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
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
902022
Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation
C Fan, J Liu, Y Zhang, E Wong, D Wei, S Liu
arXiv preprint arXiv:2310.12508, 2023
872023
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
782023
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
682022
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
652023
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
European Conference on Computer Vision, 385-403, 2024
592024
Revisiting zeroth-order optimization for memory-efficient llm fine-tuning: A benchmark
Y Zhang, P Li, J Hong, J Li, Y Zhang, W Zheng, PY Chen, JD Lee, W Yin, ...
arXiv preprint arXiv:2402.11592, 2024
422024
Fairness Reprogramming
G Zhang, Y Zhang, Y Zhang, W Fan, Q Li, S Liu, S Chang
Advances in Neural Information Processing Systems (NeurIPS), 2022
402022
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
352023
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning
Y Zhang, P Khanduri, I Tsaknakis, Y Yao, M Hong, S Liu
IEEE Signal Processing Magazine 41 (1), 38-59, 2024
332024
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
302023
Unlearncanvas: A stylized image dataset to benchmark machine unlearning for diffusion models
Y Zhang, C Fan, Y Zhang, Y Yao, J Jia, J Liu, G Liu, Zhang, G Liu, ...
arXiv preprint arXiv:2402.11846, 2024
272024
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
262022
Soul: Unlocking the power of second-order optimization for llm unlearning
J Jia, Y Zhang, Y Zhang, J Liu, B Runwal, J Diffenderfer, B Kailkhura, ...
arXiv preprint arXiv:2404.18239, 2024
252024
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
222023
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Y Zhang, X Chen, J Jia, Y Zhang, C Fan, J Liu, M Hong, K Ding, S Liu
arXiv preprint arXiv:2405.15234, 2024
212024
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
192022
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
162023
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, ...
132022
How does promoting the minority fraction affect generalization? a theoretical study of one-hidden-layer neural network on group imbalance
H Li, S Zhang, Y Zhang, M Wang, S Liu, PY Chen
IEEE Journal of Selected Topics in Signal Processing, 2024
82024
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