decision boundary

Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints NeurIPS 2021 Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NeurIPS 2021 Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds ICLR 2021 Hidden Cost of Randomized Smoothing AISTATS 2021 Influence-Balanced Loss for Imbalanced Visual Classification ICCV 2021 MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space CVPR 2021 On the Difficulty of Membership Inference Attacks CVPR 2021 On the Expected Complexity of Maxout Networks NeurIPS 2021 Probabilistic Margins for Instance Reweighting in Adversarial Training NeurIPS 2021 Protecting DNNs from Theft using an Ensemble of Diverse Models ICLR 2021 Query Complexity of Adversarial Attacks ICML 2021 Realistic Evaluation Principles for Cross-document Coreference Resolution ACL 2021 Robust Counterfactual Explanations on Graph Neural Networks NeurIPS 2021 Shift Invariance Can Reduce Adversarial Robustness NeurIPS 2021 Spurious Correlations in Cross-Topic Argument Mining ACL 2021 Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time NeurIPS 2021 Understanding Catastrophic Overfitting in Single-step Adversarial Training AAAI 2021 User Driven Model Adjustment via Boolean Rule Explanations AAAI 2021 Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model ICML 2021 A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples COLING 2020 DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction IJCAI 2020 Differentially Private and Fair Classification via Calibrated Functional Mechanism AAAI 2020 Empirical Studies on the Properties of Linear Regions in Deep Neural Networks ICLR 2020 Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020 Explanation by Progressive Exaggeration ICLR 2020