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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks ICML 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training ICML 2023
Fair Text Classification with Wasserstein Independence EMNLP 2023
FAIRER: Fairness as Decision Rationale Alignment ICML 2023
Mode-Seeking Divergences: Theory and Applications to GANs AISTATS 2023
Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023
GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator ACL 2023
Taxonomy-Structured Domain Adaptation ICML 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets AISTATS 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023
Defending Backdoor Attacks on Vision Transformer via Patch Processing AAAI 2023
The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training CVPR 2023
Global-Local Regularization Via Distributional Robustness AISTATS 2023
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection CVPR 2023
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks CVPR 2023
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023
Learning Robust Graph Neural Networks with Limited Supervision AISTATS 2023
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NIPS 2023
Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework CVPR 2023
Privacy-Preserving Adversarial Facial Features CVPR 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023
ImageNet Pre-training Also Transfers Non-robustness AAAI 2023
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling CVPR 2023