Towards verifying robustness of neural networks against a family of semantic perturbations
- Jeet Mohapatra
- Tsui Wei Weng
- et al.
- 2020
- CVPR 2020
Conference paper
Publications
934 results for Trustworthy AI
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity
- 2020
- Scientific Reports
PaperNoise is inside me! generating adversarial perturbations with noise derived from natural filters
- Akshay Agarwal
- Mayank Vatsa
- et al.
- 2020
- CVPRW 2020
Conference paperImproving the affordability of robustness training for DNNs
- Sidharth Gupta
- Parijat Dube
- et al.
- 2020
- CVPRW 2020
Conference paperDNDNet: Reconfiguring CNN for adversarial robustness
- Akhil Goel
- Akshay Agarwal
- et al.
- 2020
- CVPRW 2020
Conference paper- D3WA+ - A case study of XAIP in a model acquisition task for dialogue planning
- Sarath Sreedharan
- Tathagata Chakraborti
- et al.
- 2020
- ICAPS 2020
Conference paperAcoustic Wave Inversion Using Radial Basis Neural Networks
- Miguel Paredes Quinones
- Alberto Costa Nogueira Junior
- et al.
- 2020
- Joint SBGf-SEG Workshop on Machine Learning 2020
Conference paperPrivacy-Aware Human Activity Recognition from a Wearable Camera
- Girmaw Abebe Tadesse
- Oliver Bent
- et al.
- 2020
- IEEE SPM
PaperTowards an efficient and general framework of robust training for graph neural networks
- Kaidi Xu
- Sijia Liu
- et al.
- 2020
- ICASSP 2020
Conference paperEnhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning
- Chao-Han Huck Yang
- Jun Qi
- et al.
- 2020
- ICASSP 2020
Conference paper