Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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9 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
ZO-AdaMM: Zeroth-order adaptive momentum method for black-box optimization
- - Xiangyi Chen
  - Sijia Liu
  - et al.
- 2019
- NeurIPS 2019
Structured adversarial attack: Towards general implementation and better interpretability
- - Kaidi Xu
  - Sijia Liu
  - et al.
- 2019
- ICLR 2019
Towards an efficient and general framework of robust training for graph neural networks
- - Kaidi Xu
  - Sijia Liu
  - et al.
- 2020
- ICASSP 2020
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
ADMM attack: An enhanced adversarial attack for deep neural networks with undetectable distortions
- - Pu Zhao
  - Kaidi Xu
  - et al.
- 2019
- ASP-DAC 2019