Seq2sick: Evaluating the robustness of sequence-to-sequence models with adversarial examples
- Minhao Cheng
- Jinfeng Yi
- et al.
- 2020
- AAAI 2020
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17 results for Cho-Jui Hsieh
Query-efficient hard-label black-box attack: An optimization-based approach
- Minhao Cheng
- Huan Zhang
- et al.
- 2019
- ICLR 2019
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
Evaluating the robustness of neural networks: An extreme value theory approach
- Tsui Wei Weng
- Huan Zhang
- et al.
- 2018
- ICLR 2018
EAD: Elastic-net attacks to deep neural networks via adversarial examples
- Pin-Yu Chen
- Yash Sharma
- et al.
- 2018
- AAAI 2018
Scalable demand-aware recommendation
- Jinfeng Yi
- Cho-Jui Hsieh
- et al.
- 2017
- NeurIPS 2017
Can decentralized algorithms outperform centralized algorithms? A case study for decentralized parallel stochastic gradient descent
- Xiangru Lian
- Ce Zhang
- et al.
- 2017
- NeurIPS 2017
QUIC & DIRTY: A quadratic approximation approach for dirty statistical models
- Cho-Jui Hsieh
- Inderjit S. Dhillon
- et al.
- 2014
- NeurIPS 2014