decision boundary

GSBA^K: top-K Geometric Score-based Black-box Attack ICLR 2025 Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles WACV 2025 Improving Adversarial Transferability via Decision Boundary Adaptation UAI 2025 Leveraging Predictive Equivalence in Decision Trees ICML 2025 LLMs Don’t Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations EMNLP 2025 Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models ICCV 2025 Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets ICLR 2025 Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary JMLR 2025 Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs IJCAI 2025 Model Lineage Closeness Analysis AAAI 2025 Models That Are Interpretable But Not Transparent AISTATS 2025 Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary AAAI 2025 Multi-level Diagnosis and Evaluation for Robust Tabular Feature Engineering with Large Language Models EMNLP 2025 Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning AAAI 2025 Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment ICLR 2025 Not All Wrong is Bad: Using Adversarial Examples for Unlearning ICML 2025 Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025 PlugMark: A Plug-in Zero-Watermarking Framework for Diffusion Models ICCV 2025 Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount ICLR 2025 RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features UAI 2025 SDBF: Steep-Decision-Boundary Fingerprinting for Hard-Label Tampering Detection of DNN Models CVPR 2025 Self-Discriminative Modeling for Anomalous Graph Detection ICML 2025 Supervised Exploratory Learning for Long-Tailed Visual Recognition ICCV 2025 Unlearning-based Neural Interpretations ICLR 2025 Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation AAAI 2025