Towards an efficient and general framework of robust training for graph neural networks
- Kaidi Xu
- Sijia Liu
- et al.
- 2020
- ICASSP 2020
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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275 results for Pin-Yu Chen
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
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent
- Shuai Zhang
- Meng Wang
- et al.
- 2020
- CISS 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
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks
- Chao-Han Huck Yang
- Yi Chieh Liu
- et al.
- 2019
- ICIP 2019
Neural-brane: An inductive approach for attributed network embedding
- Vachik S. Dave
- Baichuan Zhang
- et al.
- 2019
- ASONAM 2019
Protecting neural networks with hierarchical random switching: Towards better robustness-accuracy trade-off for stochastic defenses
- Xiao Wang
- Siyue Wang
- et al.
- 2019
- IJCAI 2019
Topology attack and defense for graph neural networks: An optimization perspective
- Kaidi Xu
- Hongge Chen
- et al.
- 2019
- IJCAI 2019