Min-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- Sijia Liu
- Songtao Lu
- et al.
- 2020
- ICML 2020
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72 results for Sijia Liu
Fast learning of graph neural networks with guaranteed generalizability: One-hidden-layer case
- Shuai Zhang
- Meng Wang
- et al.
- 2020
- ICML 2020
Proper network interpretability helps adversarial robustness in classification
- Akhilan Boopathy
- Sijia Liu
- et al.
- 2020
- ICML 2020
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
- Minhao Cheng
- Simranjit Singh
- et al.
- 2020
- ICLR 2020
Towards certificated model robustness against weight perturbations
- Tsui Wei Weng
- Pu Zhao
- et al.
- 2020
- AAAI 2020
An ADMM based framework for AutoML pipeline configuration
- Sijia Liu
- Parikshit Ram
- et al.
- 2020
- AAAI 2020
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
Advancing Model Pruning via Bi-level Optimization
- Yihua Zhang
- Yuguang Yao
- et al.
- 2022
- NeurIPS 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
- Hongkang Li
- Meng Wang
- et al.
- 2022
- ICML 2022