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conftrace_

decision boundary

221 papers

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adversarial robustness (25) deep neural network (20) adversarial attack (16) adversarial example (15) neural network (15) image classification (15) adversarial training (14) out-of-distribution detection (13) representation learning (10) knowledge distillation (9)

Papers

Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary ICML 2024 Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models ACL 2024 Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory NeurIPS 2024 On the Effects of Fairness to Adversarial Vulnerability IJCAI 2024 OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning ICLR 2024 Plugin estimators for selective classification with out-of-distribution detection ICLR 2024 Probing the Decision Boundaries of In-context Learning in Large Language Models NeurIPS 2024 Quantifying and Enhancing Multi-modal Robustness with Modality Preference ICLR 2024 Querying Easily Flip-flopped Samples for Deep Active Learning ICLR 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NeurIPS 2024 Sparse and Faithful Explanations Without Sparse Models AISTATS 2024 SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 2024 Temporal Domain Generalization via Learning Instance-level Evolving Patterns IJCAI 2024 The data-driven transferable adversarial space ACML 2024 Theoretical Understanding of Learning from Adversarial Perturbations ICLR 2024 Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding AAAI 2024 United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories NeurIPS 2024 You Only Query Once: An Efficient Label-Only Membership Inference Attack ICLR 2024 3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack ICCV 2023 Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models IJCAI 2023 Adversarial Local Distribution Regularization for Knowledge Distillation WACV 2023 Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 Closed Boundary Learning for Classification Tasks with the Universum Class EMNLP 2023 CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation NeurIPS 2023