Adversarial Learning

Adversarial Parametric Pose Prior CVPR 2022 Adversarial Perturbations Augmented Language Models for Euphemism Identification EMNLP 2022 Adversarial Reprogramming Revisited NeurIPS 2022 Adversarial Robustness against Multiple and Single l_p-Threat Models via Quick Fine-Tuning of Robust Classifiers ICML 2022 Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022 Adversarial Robustness in Multi-Task Learning: Promises and Illusions AAAI 2022 Adversarial Robustness is at Odds with Lazy Training NeurIPS 2022 Adversarial Robustness of Deep Sensor Fusion Models WACV 2022 Adversarial Robustness Through the Lens of Causality ICLR 2022 Adversarial Sample Generation for Aspect based Sentiment Classification AACL 2022 Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation WACV 2022 Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis ACL 2022 Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation NeurIPS 2022 Adversarial Support Alignment ICLR 2022 Adversarial Task Up-sampling for Meta-learning NeurIPS 2022 Adversarial Text Normalization NAACL 2022 Adversarial Text-to-Speech for low-resource languages EMNLP 2022 Adversarial Texture for Fooling Person Detectors in the Physical World CVPR 2022 Adversarial training for high-stakes reliability NeurIPS 2022 Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation AAAI 2022 Adversarial Training on Disentangling Meaning and Language Representations for Unsupervised Quality Estimation COLING 2022 Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks NeurIPS 2022 Adversarial Unlearning of Backdoors via Implicit Hypergradient ICLR 2022 Adversarial Unlearning: Reducing Confidence Along Adversarial Directions NeurIPS 2022 Adversarial Vulnerability of Randomized Ensembles ICML 2022