Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis
- Hongkang Li
- Meng Wang
- et al.
- 2024
- SAM 2024
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BACKDOOR SECRETS UNVEILED: IDENTIFYING BACKDOOR DATA WITH OPTIMIZED SCALED PREDICTION CONSISTENCY
- Soumyadeep Pal
- Yuguang Yao
- et al.
- 2024
- ICLR 2024
How Does Promoting the Minority Fraction Affect Generalization? A Theoretical Study of One-Hidden-Layer Neural Network on Group Imbalance
- Hongkang Li
- Shuai Zhang
- et al.
- 2024
- Ieee Journal Of Selected Topics In Signal Processing
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization
- Zichong Li
- Pin-Yu Chen
- et al.
- 2023
- COAP
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
- Mohammed Nowaz Rabbani Chowdhury
- Shuai Zhang
- et al.
- 2023
- ICML 2023
Holistic Adversarial Robustness of Deep Learning Models
- Pin-Yu Chen
- Sijia Liu
- 2023
- AAAI 2023
General and Scalable Optimization for Robust AI
- Sijia Liu
- 2023
- AAAI 2023
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
- Aochuan Chen
- Yuguang Yao
- et al.
- 2023
- CVPR 2023
ClawSAT: Towards Both Robust and Accurate Code Models
- Jinghan Jia
- Shashank Srikant
- et al.
- 2023
- SANER 2023
Certifiably robust interpretation via Rényi differential privacy
- Ao Liu
- Xiaoyu Chen
- et al.
- 2022
- Artificial Intelligence