Showing 1–20 of 29 results
/ Date/ Name
May 18, 2018Learning 3D Shape Completion under Weak SupervisionOct 14, 2019Confidence-Calibrated Adversarial Training: Generalizing to Unseen AttacksDec 6, 2016Superpixels: An Evaluation of the State-of-the-ArtDec 3, 2018Disentangling Adversarial Robustness and GeneralizationJun 24, 2020Bit Error Robustness for Energy-Efficient DNN AcceleratorsApr 16, 2021Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN AcceleratorsSep 12, 2023Certified Robust Models with Slack Control and Large Lipschitz ConstantsJul 5, 2023Evaluating AI systems under uncertain ground truth: a case study in dermatologyAug 21, 2023Unlocking Accuracy and Fairness in Differentially Private Image ClassificationApr 26, 2022On Fragile Features and Batch Normalization in Adversarial TrainingJul 12, 2021A Closer Look at the Adversarial Robustness of Information Bottleneck ModelsApr 9, 2021Relating Adversarially Robust Generalization to Flat MinimaNov 7, 2024Conformalized Credal Regions for Classification with Ambiguous Ground TruthOct 18, 2021Learning Optimal Conformal ClassifiersJan 30, 2022Improving Robustness by Enhancing Weak SubnetsMar 20, 2023Robustifying Token Attention for Vision TransformersJul 18, 2023Conformal prediction under ambiguous ground truthMay 5, 2020Adversarial Training against Location-Optimized Adversarial PatchesJul 21, 2025Towards physician-centered oversight of conversational diagnostic AIFeb 16, 2024Conformalized Credal Set Predictors