Resisting adversarial attacks using Gaussian mixture variational autoencoders
- Partha Ghosh
- Arpan Losalka
- et al.
- 2019
- AAAI 2019
Conference paper
Publications
936 results for Trustworthy AI
CNN-Cert: An efficient framework for certifying robustness of convolutional neural networks
- Akhilan Boopathy
- Tsui Wei Weng
- et al.
- 2019
- AAAI 2019
Conference paperADMM attack: An enhanced adversarial attack for deep neural networks with undetectable distortions
- Pu Zhao
- Kaidi Xu
- et al.
- 2019
- ASP-DAC 2019
Conference paperAn ADMM-based universal framework for adversarial attacks on deep neural networks
- Pu Zhao
- Yanzhi Wang
- et al.
- 2018
- MM 2018
Conference paperWhy the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning
- Richard Tomsett
- Amy Widdicombe
- et al.
- 2018
- FUSION 2018
Conference paperOn the Limitation of MagNet Defense Against L1-Based Adversarial Examples
- Pei Hsuan Lu
- Pin-Yu Chen
- et al.
- 2018
- DSN-W 2018
Conference paperAttacking visual language grounding with adversarial examples: A case study on neural image captioning
- Hongge Chen
- Huan Zhang
- et al.
- 2018
- ACL 2018
Conference paperWeakly supervised audio source separation via spectrum energy preserved Wasserstein learning
- Ning Zhang
- Junchi Yan
- et al.
- 2018
- IJCAI 2018
Conference paperEfficient ConvNets for Analog Arrays
- Malte Rasch
- Tayfun Gokmen
- et al.
- 2018
- arXiv
PaperOn the limitation of local intrinsic dimensionality for characterizing the subspaces of adversarial examples
- Pei Hsuan Lu
- Pin-Yu Chen
- et al.
- 2018
- ICLR 2018
Conference paper