conftrace_

feature perturbation

36 papers

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Co-occurring keywords

adversarial example (564) adversarial attack (1621) neural network (6616) consistency regularization (150) semi-supervised learning (2341) domain generalization (1522) deep neural network (1803) semantic segmentation (3186) image classification (1944) counterfactual explanation (139)

Papers

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