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