Proven: Verifying robustness of neural networks with a probabilistic approach
- Tsui Wei Weng
- Pin-Yu Chen
- et al.
- 2019
- ICML 2019
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
Fast incremental von neumann graph entropy computation: Theory, algorithm, and applications
- Pin-Yu Chen
- Lingfei Wu
- et al.
- 2019
- ICML 2019
Structured adversarial attack: Towards general implementation and better interpretability
- Kaidi Xu
- Sijia Liu
- et al.
- 2019
- ICLR 2019
Characterizing audio adversarial examples using temporal dependency
- Zhuolin Yang
- Pin-Yu Chen
- et al.
- 2019
- ICLR 2019
SignsGD via zeroth-order oracle
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2019
- ICLR 2019
Query-efficient hard-label black-box attack: An optimization-based approach
- Minhao Cheng
- Huan Zhang
- et al.
- 2019
- ICLR 2019
CNN-Cert: An efficient framework for certifying robustness of convolutional neural networks
- Akhilan Boopathy
- Tsui Wei Weng
- et al.
- 2019
- AAAI 2019
AutoZOOM: Autoencoder-based zeroth order optimization method for attacking black-box neural networks
- Chun-Chen Tu
- Paishun Ting
- et al.
- 2019
- AAAI 2019
Zeroth-order stochastic variance reduction for nonconvex optimization
- Sijia Liu
- Bhavya Kailkhura
- et al.
- 2018
- NeurIPS 2018
Efficient neural network robustness certification with general activation functions
- Huan Zhang
- Tsui Wei Weng
- et al.
- 2018
- NeurIPS 2018