Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning
- Chia-Yi Hsu
- Pin-Yu Chen
- et al.
- 2022
- AAAI 2022
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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8 results for Chia-Mu Yu
On the limitation of local intrinsic dimensionality for characterizing the subspaces of adversarial examples
- Pei Hsuan Lu
- Pin-Yu Chen
- et al.
- 2018
- ICLR 2018
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise
- Jhih-Cing Huang
- Yu-Lin Tsai
- et al.
- 2023
- ICASSP 2023
Real-World Adversarial Examples Via Makeup
- Chang-Sheng Lin
- Chia-Yi Hsu
- et al.
- 2022
- ICASSP 2022
Non-singular adversarial robustness of neural networks
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- ICASSP 2021
Poster: Characterizing adversarial subspaces by mutual information
- Chia-Yi Hsu
- Pin-Yu Chen
- et al.
- 2019
- ASIA CCS 2019
On the utility of conditional generation based mutual information for characterizing adversarial subspaces
- Chia-Yi Hsu
- Pei Hsuan Lu
- et al.
- 2018
- GlobalSIP 2018
On the Limitation of MagNet Defense Against L1-Based Adversarial Examples
- Pei Hsuan Lu
- Pin-Yu Chen
- et al.
- 2018
- DSN-W 2018