Adversarial Learning

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning ICCV 2023 Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints ICML 2023 Improving Robust Fariness via Balance Adversarial Training AAAI 2023 Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions CVPR 2023 Improving the Robustness of Summarization Systems with Dual Augmentation ACL 2023 Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023 In and Out-of-Domain Text Adversarial Robustness via Label Smoothing ACL 2023 Indirect Adversarial Losses via an Intermediate Distribution for Training GANs WACV 2023 Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training WACV 2023 Inequality phenomenon in l_∞-adversarial training, and its unrealized threats ICLR 2023 INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition ACL 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023 Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation WACV 2023 Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup CVPR 2023 IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers NeurIPS 2023 Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR 2023 Is Robustness Transferable across Languages in Multilingual Neural Machine Translation? EMNLP 2023 Jedi: Entropy-Based Localization and Removal of Adversarial Patches CVPR 2023 Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization NeurIPS 2023 KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations ACL 2023 Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract) AAAI 2023 Label-Only Model Inversion Attacks via Knowledge Transfer NeurIPS 2023 Label Poisoning is All You Need NeurIPS 2023 Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers EMNLP 2023 Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games AISTATS 2023