Adversarial Learning

An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023 Anonymization for Skeleton Action Recognition AAAI 2023 Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation Interspeech 2023 Architectural Backdoors in Neural Networks CVPR 2023 A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs JMLR 2023 A Structure-Aware Generative Adversarial Network for Bilingual Lexicon Induction EMNLP 2023 Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations AAAI 2023 Attacks on Online Learners: a Teacher-Student Analysis NeurIPS 2023 Attention-Enhancing Backdoor Attacks Against BERT-based Models EMNLP 2023 Balanced Energy Regularization Loss for Out-of-Distribution Detection CVPR 2023 Batchnorm Allows Unsupervised Radial Attacks NeurIPS 2023 Benchmarking Robustness to Adversarial Image Obfuscations NeurIPS 2023 Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense NeurIPS 2023 BiasAdv: Bias-Adversarial Augmentation for Model Debiasing CVPR 2023 BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning NeurIPS 2023 Black-Box Adversarial Attack on Time Series Classification AAAI 2023 Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023 Boosting Adversarial Transferability using Dynamic Cues ICLR 2023 Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval CVPR 2023 Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ACL 2023 CAP: Robust Point Cloud Classification via Semantic and Structural Modeling CVPR 2023 CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023 CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning AAAI 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023