Adversarial Learning

Isometric 3D Adversarial Examples in the Physical World NeurIPS 2022 KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification AAAI 2022 Learning Foreground-Background Segmentation From Improved Layered GANs WACV 2022 Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation EMNLP 2022 Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow AAAI 2022 Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NeurIPS 2022 Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022 Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022 Localized Adversarial Domain Generalization CVPR 2022 Logit Perturbation AAAI 2022 Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator CVPR 2022 LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness NeurIPS 2022 Make Some Noise: Reliable and Efficient Single-Step Adversarial Training NeurIPS 2022 Making Adversarial Examples More Transferable and Indistinguishable AAAI 2022 Manifold Learning Benefits GANs CVPR 2022 Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) AAAI 2022 Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation CVPR 2022 MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators NeurIPS 2022 Measuring and Mitigating Name Biases in Neural Machine Translation ACL 2022 Merry Go Round: Rotate a Frame and Fool a DNN CVPR 2022 MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation AAAI 2022 MINIMAL: Mining Models for Universal Adversarial Triggers AAAI 2022 Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization ICML 2022 Modeling Adversarial Noise for Adversarial Training ICML 2022 Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets IJCAI 2022