feature perturbation

RealNet: Efficient and Unsupervised Detection of AI-Generated Images via Real-Only Representation Learning AAAI 2026 Cross Image Feature Perturbation with Pseudo Label Fusion for Semi-Supervised Medical Image Segmentation WACV 2025 Effortless Active Labeling for Long-Term Test-Time Adaptation CVPR 2025 Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation WACV 2025 Improving Transferable Targeted Attacks with Feature Tuning Mixup CVPR 2025 LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions CVPR 2025 Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation WACV 2025 Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation ICLR 2025 Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data CVPR 2025 Class Incremental Learning with Multi-Teacher Distillation CVPR 2024 Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation AISTATS 2024 Faster Repeated Evasion Attacks in Tree Ensembles NeurIPS 2024 MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation CVPR 2024 PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization NeurIPS 2024 Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation CVPR 2024 Bayesian Hierarchical Models for Counterfactual Estimation AISTATS 2023 Cross Contrasting Feature Perturbation for Domain Generalization ICCV 2023 Improving Adversarial Transferability via Intermediate-level Perturbation Decay NeurIPS 2023 MFA: Multi-layer Feature-aware Attack for Object Detection UAI 2023 Towards Improved Input Masking for Convolutional Neural Networks ICCV 2023 Bounded Adversarial Attack on Deep Content Features CVPR 2022 Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations NeurIPS 2022 Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation MIDL 2022 Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022 Logit Perturbation AAAI 2022