Position: TRUSTLLM: Trustworthiness in Large Language Models
- Yue Huang
- Lichao Sun
- et al.
- 2024
- ICML 2024
Conference paper
Publications
10 results for Kaidi Xu
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
- Ren Wang
- Kaidi Xu
- et al.
- 2021
- ICLR 2021
Conference paperMin-max optimization without gradients: Convergence and applications to black-box evasion and poisoning attacks
- Sijia Liu
- Songtao Lu
- et al.
- 2020
- ICML 2020
Conference paperTowards an efficient and general framework of robust training for graph neural networks
- Kaidi Xu
- Sijia Liu
- et al.
- 2020
- ICASSP 2020
Conference paperZO-AdaMM: Zeroth-order adaptive momentum method for black-box optimization
- Xiangyi Chen
- Sijia Liu
- et al.
- 2019
- NeurIPS 2019
Conference paperAdversarial robustness vs. model compression, or both?
- Shaokai Ye
- Kaidi Xu
- et al.
- 2019
- ICCV 2019
Conference paperOn the design of black-box adversarial examples by leveraging gradient-free optimization and operator splitting method
- Pu Zhao
- Sijia Liu
- et al.
- 2019
- ICCV 2019
Conference paperTopology attack and defense for graph neural networks: An optimization perspective
- Kaidi Xu
- Hongge Chen
- et al.
- 2019
- IJCAI 2019
Conference paperStructured adversarial attack: Towards general implementation and better interpretability
- Kaidi Xu
- Sijia Liu
- et al.
- 2019
- ICLR 2019
Conference paperADMM attack: An enhanced adversarial attack for deep neural networks with undetectable distortions
- Pu Zhao
- Kaidi Xu
- et al.
- 2019
- ASP-DAC 2019
Conference paper