adversarial training

CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning AAAI 2023 Cross-lingual Data Augmentation for Document-grounded Dialog Systems in Low Resource Languages ACL 2023 CUDA: Convolution-Based Unlearnable Datasets CVPR 2023 Data augmentation alone can improve adversarial training ICLR 2023 Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond EMNLP 2023 DAVA: Disentangling Adversarial Variational Autoencoder ICLR 2023 DeepBlueAI at PragTag-2023:Ensemble-based Text Classification Approaches under Limited Data Resources EMNLP 2023 Defense Against Adversarial Attacks on Audio DeepFake Detection Interspeech 2023 Delving into the Adversarial Robustness of Federated Learning AAAI 2023 Discriminator-Cooperated Feature Map Distillation for GAN Compression CVPR 2023 Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models NeurIPS 2023 Domain Adaptation for Speech Enhancement in a Large Domain Gap Interspeech 2023 Domain Adaptation with Adversarial Training on Penultimate Activations AAAI 2023 Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach ICLR 2023 Do Perceptually Aligned Gradients Imply Robustness? ICML 2023 DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023 Effective Targeted Attacks for Adversarial Self-Supervised Learning NeurIPS 2023 Effects of Human Adversarial and Affable Samples on BERT Generalization EMNLP 2023 Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization NeurIPS 2023 End-to-end Adversarial Sample Generation for Data Augmentation EMNLP 2023 Enhanced Training Methods for Multiple Languages ACL 2023 Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization NeurIPS 2023 Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation ICCV 2023 Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints ICLR 2023 Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation EMNLP 2023