Machine Unlearning in Computer Vision: Foundations and Applications
- Sijia Liu
- Yang Liu
- et al.
- 2024
- CVPR 2024
Tutorial
Publications
32 results for Sijia Liu
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
- Jiabao Ji
- Bairu Hou
- et al.
- 2024
- NAACL 2024
Short paperAutoVP: An Automated Visual Prompting Framework and Benchmark
- Hsi-ai Tsao
- Lei Hsiung
- et al.
- 2024
- ICLR 2024
Conference paperSalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- Chongyu Fan
- Jiancheng Liu
- et al.
- 2024
- ICLR 2024
Conference paperZeroth-Order Machine Learning: Fundamental Principles and Emerging Applications in Foundation Models
- Sijia Liu
- Zhangyang Wang
- et al.
- 2024
- ICASSP 2024
TutorialZeroth-Order Machine Learning: Fundamental Principles and Emerging Applications in Foundation Models
- Sijia Liu
- Tianlong Chen
- et al.
- 2024
- AAAI 2024
TutorialModel Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
Conference paperOn the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- Shuai Zhang
- Hongkang Li
- et al.
- 2023
- NeurIPS 2023
Conference paperThe 2nd Workshop on New Frontiers in Adversarial Machine Learning
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
WorkshopVisual Prompting for Adversarial Robustness
- Aochuan Chen
- Peter Lorenz
- et al.
- 2023
- ICASSP 2023
Conference paper