- Axiomatic Explanations for Visual Search, Retrieval and Similarity Learning
- Privacy Amplification by Decentralization
- Robust or Fair
- XCM, an explainable CNN for MTS classficiation
- RobustAI_RegMixup
- Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
- Label-Free Explainability
- Adversarially Reweighted Learning
- Packed Ensembles
- A Framework to Learn with Interpretation
- NTK-SAP: IMPROVING NEURAL NETWORK PRUNING BY ALIGNING TRAINING DYNAMICS
- Do Perceptually Aligned Gradients imply Robustness?
- To update or not to update? Neurons at equilibrium in deep models
- Optimal Transport Based Adversarial Patch Attacks
- Statistical Minimax Rates Under Privacy
- Measuring the Transferability of Pre-trained Models: a link with Neural Collapse Distances on Target Datasets