adversarial training

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts ACL 2023 Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases ACL 2023 PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer EMNLP 2023 Randomized Adversarial Training via Taylor Expansion CVPR 2023 Regularization properties of adversarially-trained linear regression NeurIPS 2023 Reinforced Disentanglement for Face Swapping without Skip Connection ICCV 2023 Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning ICLR 2023 Revisiting adapters with adversarial training ICLR 2023 Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models NeurIPS 2023 Revisiting Residual Networks for Adversarial Robustness CVPR 2023 RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases CVPR 2023 RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023 Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training Interspeech 2023 Robust Mixture-of-Expert Training for Convolutional Neural Networks ICCV 2023 Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms ICLR 2023 Robustness Guarantees for Adversarially Trained Neural Networks NeurIPS 2023 Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization CoRL 2023 Robust Steganography without Embedding Based on Secure Container Synthesis and Iterative Message Recovery IJCAI 2023 Robust Subtask Learning for Compositional Generalization ICML 2023 RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations ACL 2023 Romanian Multiword Expression Detection Using Multilingual Adversarial Training and Lateral Inhibition EACL 2023 RVCL: Evaluating the Robustness of Contrastive Learning via Verification JMLR 2023 Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts CVPR 2023 Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data MLHC 2023 Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction ICCV 2023