The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022)
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2022
- KDD 2022
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17 results for Cho-Jui Hsieh
CAT: Customized Adversarial Training for Improved Robustness
- Minhao Cheng
- Qi Lei
- et al.
- 2022
- IJCAI 2022
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021)
- Pin-Yu Chen
- Cho-Jui Hsieh
- et al.
- 2021
- KDD 2021
Seq2sick: Evaluating the robustness of sequence-to-sequence models with adversarial examples
- Minhao Cheng
- Jinfeng Yi
- et al.
- 2020
- AAAI 2020
GenatTack: Practical black-box attacks with gradient-free optimization
- Moustafa Alzantot
- Huan Zhang
- et al.
- 2019
- GECCO 2019
Query-efficient hard-label black-box attack: An optimization-based approach
- Minhao Cheng
- Huan Zhang
- et al.
- 2019
- ICLR 2019
On extensions of clever: A neural network robustness evaluation algorithm
- Tsui Wei Weng
- Huan Zhang
- et al.
- 2018
- GlobalSIP 2018
AutoZOOM: Autoencoder-based zeroth order optimization method for attacking black-box neural networks
- Chun-Chen Tu
- Paishun Ting
- et al.
- 2019
- AAAI 2019
Efficient neural network robustness certification with general activation functions
- Huan Zhang
- Tsui Wei Weng
- et al.
- 2018
- NeurIPS 2018
Attacking visual language grounding with adversarial examples: A case study on neural image captioning
- Hongge Chen
- Huan Zhang
- et al.
- 2018
- ACL 2018