Investigating Explainability of Generative AI for Code through Scenario-based Design
- Jiao Sun
- Q. Vera Liao
- et al.
- 2022
- IUI 2022
Conference paper
Publications
963 results for Trustworthy AI
Misinformation, Equity, and Science
- 2022
- APS News
PaperTowards an Accountable and Reproducible Federated Learning: A FactSheets Approach
- Nathalie Baracaldo Angel
- Ali Anwar
- et al.
- 2022
- arXiv
PaperCombining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease
- 2022
- PLoS ONE
PaperAddressing Solution Quality in Data-generated Optimization Models
- 2022
- AAAI 2022
Workshop paperMeta 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 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
Paper