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

Robust Subtask Learning for Compositional Generalization ICML 2023
Randomized Adversarial Training via Taylor Expansion CVPR 2023
Towards Higher Ranks via Adversarial Weight Pruning NIPS 2023
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion CVPR 2023
Effective Targeted Attacks for Adversarial Self-Supervised Learning NIPS 2023
Non-adversarial training of Neural SDEs with signature kernel scores NIPS 2023
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023
Generalist: Decoupling Natural and Robust Generalization CVPR 2023
Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond CVPR 2023
Improving Visual Representation Learning Through Perceptual Understanding CVPR 2023
Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation CVPR 2023
Understanding the Impact of Adversarial Robustness on Accuracy Disparity ICML 2023
CFA: Class-Wise Calibrated Fair Adversarial Training CVPR 2023
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts CVPR 2023
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-Off Between Accuracy and Robustness WACV 2023
Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection INTERSPEECH 2023
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games AISTATS 2023
Revisiting Residual Networks for Adversarial Robustness CVPR 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing CVPR 2023
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions CVPR 2023
The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training CVPR 2023
Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking CVPR 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization CVPR 2023
CUDA: Convolution-Based Unlearnable Datasets CVPR 2023
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models NIPS 2023