On the utility of conditional generation based mutual information for characterizing adversarial subspaces
- Chia-Yi Hsu
- Pei Hsuan Lu
- et al.
- 2018
- GlobalSIP 2018
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758 results for Trustworthy AI
AutoZOOM: Autoencoder-based zeroth order optimization method for attacking black-box neural networks
- Chun-Chen Tu
- Paishun Ting
- et al.
- 2019
- AAAI 2019
Resisting adversarial attacks using Gaussian mixture variational autoencoders
- Partha Ghosh
- Arpan Losalka
- et al.
- 2019
- AAAI 2019
CNN-Cert: An efficient framework for certifying robustness of convolutional neural networks
- Akhilan Boopathy
- Tsui Wei Weng
- et al.
- 2019
- AAAI 2019
ADMM attack: An enhanced adversarial attack for deep neural networks with undetectable distortions
- Pu Zhao
- Kaidi Xu
- et al.
- 2019
- ASP-DAC 2019
An ADMM-based universal framework for adversarial attacks on deep neural networks
- Pu Zhao
- Yanzhi Wang
- et al.
- 2018
- MM 2018
Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning
- Richard Tomsett
- Amy Widdicombe
- et al.
- 2018
- FUSION 2018
On the Limitation of MagNet Defense Against L1-Based Adversarial Examples
- Pei Hsuan Lu
- Pin-Yu Chen
- et al.
- 2018
- DSN-W 2018
Attacking visual language grounding with adversarial examples: A case study on neural image captioning
- Hongge Chen
- Huan Zhang
- et al.
- 2018
- ACL 2018
Weakly supervised audio source separation via spectrum energy preserved Wasserstein learning
- Ning Zhang
- Junchi Yan
- et al.
- 2018
- IJCAI 2018