conftrace_

adversarial training

1,416 papers

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Also known as

AT

Co-occurring keywords · papers mentioning both

adversarial robustness (292) adversarial learning (119) adversarial attack (112) neural network (102) domain adaptation (99) model robustness (96) adversarial example (88) text classification (76) generative adversarial network (72) data augmentation (69)

Papers

Improving Word Sense Induction through Adversarial Forgetting of Morphosyntactic Information NAACL 2024 Initialization Matters for Adversarial Transfer Learning CVPR 2024 Interpreting Robustness Proofs of Deep Neural Networks ICLR 2024 LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training AAAI 2024 Language-Driven Anchors for Zero-Shot Adversarial Robustness CVPR 2024 Learnable Privacy Neurons Localization in Language Models ACL 2024 Learning Decision Trees and Forests with Algorithmic Recourse ICML 2024 Learning Fair Representations for Recommendation via Information Bottleneck Principle IJCAI 2024 MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation NeurIPS 2024 Masking Latent Gender Knowledge for Debiasing Image Captioning NAACL 2024 Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024 Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning NeurIPS 2024 Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference ICML 2024 Multi-modal Adversarial Training for Zero-Shot Voice Cloning Interspeech 2024 Natural Light Can Also Be Dangerous: Traffic Sign Misinterpretation Under Adversarial Natural Light Attacks WACV 2024 On Adversarial Training without Perturbing all Examples ICLR 2024 On the Duality Between Sharpness-Aware Minimization and Adversarial Training ICML 2024 On the Effectiveness of Adversarial Robustness for Abuse Mitigation with Counterspeech NAACL 2024 On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training JMLR 2024 On the Over-Memorization During Natural, Robust and Catastrophic Overfitting ICLR 2024 On the Scalability of Certified Adversarial Robustness with Generated Data NeurIPS 2024 On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks ICLR 2024 Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder WACV 2024 Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation AAAI 2024 Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024