Generation of low distortion adversarial attacks via convex programming
- Tianyun Zhang
- Sijia Liu
- et al.
- 2019
- ICDM 2019
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75 results for Sijia Liu
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
Recent progress in zeroth order optimization and its applications to adversarial robustness in data mining and machine learning
- Pin-Yu Chen
- Sijia Liu
- 2019
- KDD 2019
Latent Heterogeneous Multilayer Community Detection
- Hafiz Tiomoko Ali
- Sijia Liu
- et al.
- 2019
- ICASSP 2019
Zeroth-order stochastic projected gradient descent for nonconvex optimization
- Sijia Liu
- Xingguo Li
- et al.
- 2018
- GlobalSIP 2018
Is ordered weighted ℓ1 regularized regression robust to adversarial perturbation? a case study on Oscar
- Pin-Yu Chen
- Bhanukiran Vinzamuri
- et al.
- 2018
- GlobalSIP 2018
ADMM attack: An enhanced adversarial attack for deep neural networks with undetectable distortions
- Pu Zhao
- Kaidi Xu
- et al.
- 2019
- ASP-DAC 2019
An ADMM-based universal framework for adversarial attacks on deep neural networks
- Pu Zhao
- Yanzhi Wang
- et al.
- 2018
- MM 2018