Adversarial Learning

Improving GANs with A Dynamic Discriminator NeurIPS 2022 Improving Generative Adversarial Networks via Adversarial Learning in Latent Space NeurIPS 2022 Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors NeurIPS 2022 Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification ICML 2022 Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching CVPR 2022 Improving Robustness of Language Models from a Geometry-aware Perspective ACL 2022 Improving the Adversarial Robustness of NLP Models by Information Bottleneck ACL 2022 Improving the Transferability of Targeted Adversarial Examples Through Object-Based Diverse Input CVPR 2022 Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients IJCAI 2022 Increasing Confidence in Adversarial Robustness Evaluations NeurIPS 2022 Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples NeurIPS 2022 InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples COLING 2022 Information Discrepancy in Strategic Learning ICML 2022 Infrared Invisible Clothing: Hiding From Infrared Detectors at Multiple Angles in Real World CVPR 2022 Input-specific Attention Subnetworks for Adversarial Detection ACL 2022 Interactive Image Synthesis With Panoptic Layout Generation CVPR 2022 Intriguing Properties of Input-Dependent Randomized Smoothing ICML 2022 Investigating the contribution of speaker attributes to speaker separability using disentangled speaker representations Interspeech 2022 Investigating Top-k White-Box and Transferable Black-Box Attack CVPR 2022 Isometric 3D Adversarial Examples in the Physical World NeurIPS 2022 KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification AAAI 2022 Label Leakage and Protection in Two-party Split Learning ICLR 2022 Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting NeurIPS 2022 LAS-AT: Adversarial Training With Learnable Attack Strategy CVPR 2022 Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks COLING 2022