Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease
- 2022
- PLoS ONE
Paper
Publications
960 results for Trustworthy AI
Meta Adversarial Perturbations
- Chia-Hung Yuan
- Pin-Yu Chen
- et al.
- 2022
- AAAI 2022
Workshop paperSemi-supervised Feature Selection for Efficient Detection of Systemic Deviations to Develop Trustworthy AI
- Girmaw Abebe Tadesse
- William Ogallo
- et al.
- 2022
- AAAI 2022
Workshop paperAddressing Solution Quality in Data-generated Optimization Models
- 2022
- AAAI 2022
Workshop paperAdversarial Machine Learning for Good
- 2022
- AAAI 2022
TutorialRandom and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
- David Stutz
- Nandhini Chandramoorthy
- et al.
- 2021
- IEEE TPAMI
PaperNN-EMD: Efficiently Training Neural Networks Using Encrypted Multi-Sourced Datasets
- Runhua Xu
- James Joshi
- et al.
- 2021
- IEEE TDSC
PaperBesting the Black-Box: Barrier Zones for Adversarial Example Defense
- Kaleel Mahmood
- Phuong Ha Nguyen
- et al.
- 2021
- IEEE Access
PaperMachine Learning Security and Privacy
- Nathalie Baracaldo
- Alina Oprea
- 2021
- IEEE Security and Privacy
PaperNumerical investigation of droplets in a cross-ventilated space with sitting passengers under asymptomatic virus transmission conditions
- Carlos Pena Monferrer
- Samuel Freitas Antao
- et al.
- 2021
- Physics of Fluids
Paper