decision boundary

Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations CVPR 2022 Implicit Bias of Adversarial Training for Deep Neural Networks ICLR 2022 Improving Robustness of Language Models from a Geometry-aware Perspective ACL 2022 Margin-distancing for safe model explanation AISTATS 2022 MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training IJCAI 2022 NoiseGrad — Enhancing Explanations by Introducing Stochasticity to Model Weights AAAI 2022 Noisy Feature Mixup ICLR 2022 On the Adversarial Robustness of Causal Algorithmic Recourse ICML 2022 On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning NeurIPS 2022 Open World Classification with Adaptive Negative Samples EMNLP 2022 Pairwise Supervision Can Provably Elicit a Decision Boundary AISTATS 2022 Perturbation Learning Based Anomaly Detection NeurIPS 2022 POEM: Out-of-Distribution Detection with Posterior Sampling ICML 2022 Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off ICLR 2022 Robust Models Are More Interpretable Because Attributions Look Normal ICML 2022 Robustness to Label Noise Depends on the Shape of the Noise Distribution NeurIPS 2022 SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER COLING 2022 Towards Understanding the Data Dependency of Mixup-style Training ICLR 2022 Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond) ICLR 2022 VOS: Learning What You Don't Know by Virtual Outlier Synthesis ICLR 2022 Dataset Inference: Ownership Resolution in Machine Learning ICLR 2021 Delving into Data: Effectively Substitute Training for Black-box Attack CVPR 2021 Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain AAAI 2021 Embed Me if You Can: A Geometric Perceptron ICCV 2021 Fast Geometric Projections for Local Robustness Certification ICLR 2021