Model Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
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26 results for Sijia Liu
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- Shuai Zhang
- Hongkang Li
- et al.
- 2023
- NeurIPS 2023
The 2nd Workshop on New Frontiers in Adversarial Machine Learning
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
Visual Prompting for Adversarial Robustness
- Aochuan Chen
- Peter Lorenz
- et al.
- 2023
- ICASSP 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2023
- ICLR 2023
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
- Hongkang Li
- Meng Weng
- et al.
- 2023
- ICLR 2023
Visual Prompting for Adversarial Robustness
- Aochuan Chen
- Peter Lorenz
- et al.
- 2022
- NeurIPS 2022
Foundational Robustness of Foundation Models
- Pin-Yu Chen
- Sijia Liu
- et al.
- 2022
- NeurIPS 2022
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
- Tianlong Chen
- Zhenyu Zhang
- et al.
- 2022
- ICML 2022
New Frontiers in Adversarial Machine Learning
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2022
- ICML 2022