Towards an efficient and general framework of robust training for graph neural networks
- Kaidi Xu
- Sijia Liu
- et al.
- 2020
- ICASSP 2020
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212 results for Adversarial Robustness and Privacy
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning
- Chao-Han Huck Yang
- Jun Qi
- et al.
- 2020
- ICASSP 2020
AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks
- Xiao Wang
- Siyue Wang
- et al.
- 2020
- ICASSP 2020
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement
- Chao Han Yang
- Jun Qi
- et al.
- 2020
- ICASSP 2020
Outlier resistant unsupervised deep architectures for attributed network embedding
- Sambaran Bandyopadhyay
- N. Lokesh
- et al.
- 2020
- WSDM 2020
Deep Domain Adaptation under Label Scarcity
- Amar Prakash Azad
- Dinesh Garg
- et al.
- 2021
- CODS-COMAD 2021
Self-attentive attributed network embedding through adversarial learning
- Wenchao Yu
- Wei Cheng
- et al.
- 2019
- ICDM 2019
Generation of low distortion adversarial attacks via convex programming
- Tianyun Zhang
- Sijia Liu
- et al.
- 2019
- ICDM 2019
Learning implicit generative models by matching perceptual features
- Cicero Nogueira Dos Santos
- Youssef Mroueh
- et al.
- 2019
- ICCV 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