Adversarial Learning

RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts CVPR 2023 RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023 Robustness Guarantees for Adversarially Trained Neural Networks NeurIPS 2023 RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations ACL 2023 SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks Interspeech 2023 Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts CVPR 2023 Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances CVPR 2023 Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples NeurIPS 2023 Single Image Backdoor Inversion via Robust Smoothed Classifiers CVPR 2023 SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT ACL 2023 SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples CVPR 2023 Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation EMNLP 2023 Squeeze Training for Adversarial Robustness ICLR 2023 SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023 State-Conditioned Adversarial Subgoal Generation AAAI 2023 StyLess: Boosting the Transferability of Adversarial Examples CVPR 2023 StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models NeurIPS 2023 Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations ACL 2023 Taxonomy-Structured Domain Adaptation ICML 2023 Text Adversarial Purification as Defense against Adversarial Attacks ACL 2023 The Adversarial Consistency of Surrogate Risks for Binary Classification NeurIPS 2023 The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks CVPR 2023 The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training CVPR 2023 Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness AISTATS 2023