conftrace_

adversarial training

1262 papers

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Also known as

AT

Co-occurring keywords

adversarial robustness (1341) adversarial learning (1595) domain adaptation (4595) adversarial attack (1621) neural network (6616) text classification (6793) model robustness (480) adversarial example (564) data augmentation (3052) generative adversarial network (1944)

Papers

MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows ICML 2023
Generalist: Decoupling Natural and Robust Generalization CVPR 2023
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts CVPR 2023
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions NIPS 2023
Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances CVPR 2023
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023
Domain Adaptation for Speech Enhancement in a Large Domain Gap INTERSPEECH 2023
RVCL: Evaluating the Robustness of Contrastive Learning via Verification JMLR 2023
Revisiting Residual Networks for Adversarial Robustness CVPR 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023
Learning 3D-Aware Image Synthesis With Unknown Pose Distribution CVPR 2023
Fair Text Classification with Wasserstein Independence EMNLP 2023
Outlier Robust Adversarial Training ACML 2023
Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond CVPR 2023
Improving Visual Representation Learning Through Perceptual Understanding CVPR 2023
Generative Adversarial Training with Perturbed Token Detection for Model Robustness EMNLP 2023
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training CVPR 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning CVPR 2023
Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation CVPR 2023
CUDA: Convolution-Based Unlearnable Datasets CVPR 2023
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness WACV 2023
Effects of Human Adversarial and Affable Samples on BERT Generalization EMNLP 2023
Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers EMNLP 2023
Towards Higher Ranks via Adversarial Weight Pruning NIPS 2023
Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection INTERSPEECH 2023