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

OTI: A Model-free and Visually Interpretable Measure of Image Attackability AAAI 2026
PeriUn: Enhancing Unlearning by Selectively Forgetting Peripheral Samples AAAI 2026
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection AAAI 2026
Hierarchical Text Classification with LLM-Refined Taxonomies EACL 2026
Ellipsoid-Based Decision Boundaries for Open Intent Classification AAAI 2026
GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation AAAI 2025
PlugMark: A Plug-in Zero-Watermarking Framework for Diffusion Models ICCV 2025
Multi-level Diagnosis and Evaluation for Robust Tabular Feature Engineering with Large Language Models EMNLP 2025
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary IJCAI 2025
Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles WACV 2025
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting AAAI 2025
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary JMLR 2025
ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks AAAI 2025
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation AAAI 2025
Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs IJCAI 2025
Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning AAAI 2025
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning AAAI 2025
Deep Disentangled Metric Learning AAAI 2025
Adaptive Prompt Learning via Gaussian Outlier Synthesis for Out-of-distribution Detection ICCV 2025
Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training ICCV 2025
Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models ICCV 2025
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection ICCV 2025
Supervised Exploratory Learning for Long-Tailed Visual Recognition ICCV 2025
Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025
Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025