On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- et al.
- 2022
- NeurIPS 2022
Conference paper
Publications
935 results for Trustworthy AI
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2022
- NeurIPS 2022
PosterVerifiable Federated Learning
- Simone Bottoni
- Giulio Zizzo
- et al.
- 2022
- NeurIPS 2022
Workshop paperVisual Prompting for Adversarial Robustness
- Aochuan Chen
- Peter Lorenz
- et al.
- 2022
- NeurIPS 2022
Workshop paperConsistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions
- Chanakya Ekbote
- Moksh Jain
- et al.
- 2022
- NeurIPS 2022
Workshop paperReducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators
- Jenna Bilbrey
- Kristina Herman
- et al.
- 2022
- NeurIPS 2022
Workshop paperOn the Adversarial Robustness of Vision Transformers
- Rulin Shao
- Zhouxing Shi
- et al.
- 2022
- NeurIPS 2022
Workshop paperBoundary Adversarial Examples Against Adversarial Overfitting
- Muhammad Zaid Hameed
- Beat Buesser
- 2022
- NeurIPS 2022
Workshop paperHCAI@NeurIPS 2022, Human Centered AI
- Michael Muller
- Plamen Agelov
- et al.
- 2022
- NeurIPS 2022
WorkshopChromFormer: A transformer-based model for 3D genome structure prediction
- Henry Valeyre
- Pushpak Pati
- et al.
- 2022
- NeurIPS 2022
Workshop paper