conftrace_

decision boundary

161 papers

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Co-occurring keywords

adversarial robustness (1341) adversarial attack (1621) deep neural network (1803) neural network (6616) image classification (1944) adversarial training (1262) adversarial example (564) representation learning (6206) out-of-distribution detection (617) knowledge distillation (3725)

Papers

Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary JMLR 2025
Multi-level Diagnosis and Evaluation for Robust Tabular Feature Engineering with Large Language Models EMNLP 2025
Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs IJCAI 2025
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation AAAI 2025
LLMs Don’t Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations EMNLP 2025
Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025
Input Margins Can Predict Generalization Too AAAI 2024
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition AAAI 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding AAAI 2024
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NIPS 2024
Temporal Domain Generalization via Learning Instance-level Evolving Patterns IJCAI 2024
Boundary Matters: A Bi-Level Active Finetuning Method NIPS 2024
Boundary-Aware Uncertainty for Feature Attribution Explainers AISTATS 2024
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models ACL 2024
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024
Constrained Binary Decision Making NIPS 2024
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation COLING 2024
Deep Classifier Mimicry without Data Access AISTATS 2024
Machine Unlearning via Null Space Calibration IJCAI 2024
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation CVPR 2024
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory NIPS 2024
Decision boundary learning for safe vision-based navigation via Hamilton-Jacobi reachability analysis and support vector machine L4DC 2024
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories NIPS 2024
SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 2024