Can Adversarial Examples be Parsed to Reveal Victim Model Information?
- Yuguang Yao
- Jiancheng Liu
- et al.
- 2025
- WACV 2025
Conference paper
Publications
76 results for Sijia Liu
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis
- Hongkang Li
- Meng Wang
- et al.
- 2024
- SAM 2024
Conference paperBACKDOOR SECRETS UNVEILED: IDENTIFYING BACKDOOR DATA WITH OPTIMIZED SCALED PREDICTION CONSISTENCY
- Soumyadeep Pal
- Yuguang Yao
- et al.
- 2024
- ICLR 2024
Conference paperHow 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
PaperStochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization
- Zichong Li
- Pin-Yu Chen
- et al.
- 2023
- COAP
PaperPatch-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
Conference paperHolistic Adversarial Robustness of Deep Learning Models
- Pin-Yu Chen
- Sijia Liu
- 2023
- AAAI 2023
Conference paperGeneral and Scalable Optimization for Robust AI
- Sijia Liu
- 2023
- AAAI 2023
Workshop paperUnderstanding and Improving Visual Prompting: A Label-Mapping Perspective
- Aochuan Chen
- Yuguang Yao
- et al.
- 2023
- CVPR 2023
Conference paperClawSAT: Towards Both Robust and Accurate Code Models
- Jinghan Jia
- Shashank Srikant
- et al.
- 2023
- SANER 2023
Conference paper