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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

Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024 Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data ICML 2024 AttEXplore: Attribution for Explanation with model parameters eXploration ICLR 2024 Boundary-Aware Uncertainty for Feature Attribution Explainers AISTATS 2024 Boundary Matters: A Bi-Level Active Finetuning Method NeurIPS 2024 Constrained Binary Decision Making NeurIPS 2024 Countering Relearning with Perception Revising Unlearning ACML 2024 Decision boundary learning for safe vision-based navigation via Hamilton-Jacobi reachability analysis and support vector machine L4DC 2024 Deep Classifier Mimicry without Data Access AISTATS 2024 Deep Orthogonal Hypersphere Compression for Anomaly Detection ICLR 2024 Deep Support Vectors NeurIPS 2024 DOS: Diverse Outlier Sampling for Out-of-Distribution Detection ICLR 2024 Energy-based Hopfield Boosting for Out-of-Distribution Detection NeurIPS 2024 Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation COLING 2024 Fast Decision Boundary based Out-of-Distribution Detector ICML 2024 Feature Fusion from Head to Tail for Long-Tailed Visual Recognition AAAI 2024 Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning AAAI 2024 GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries ICLR 2024 Input Margins Can Predict Generalization Too AAAI 2024 Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models ICML 2024 Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024 Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation CVPR 2024 Leveraging Uncertainty Estimates To Improve Classifier Performance ICLR 2024 LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect NeurIPS 2024 Machine Unlearning via Null Space Calibration IJCAI 2024