Adversarial Learning

Understanding and Enhancing Robustness of Concept-Based Models AAAI 2023 Understanding and Improving Ensemble Adversarial Defense NeurIPS 2023 Understanding Backdoor Attacks through the Adaptability Hypothesis ICML 2023 Understanding the Impact of Adversarial Robustness on Accuracy Disparity ICML 2023 Understanding Zero-shot Adversarial Robustness for Large-Scale Models ICLR 2023 Unfooling Perturbation-Based Post Hoc Explainers AAAI 2023 UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation NeurIPS 2023 Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning AAAI 2023 Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples CVPR 2023 Unlocking Deterministic Robustness Certification on ImageNet NeurIPS 2023 Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning ICCV 2023 Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023 Unveiling the Implicit Toxicity in Large Language Models EMNLP 2023 UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning EMNLP 2023 Use perturbations when learning from explanations NeurIPS 2023 Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study EACL 2023 Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection Interspeech 2023 VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models NeurIPS 2023 VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design Interspeech 2023 VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models NeurIPS 2023 Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain IJCAI 2023 VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations ACL 2023 Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks NeurIPS 2023 Wasserstein distributional robustness of neural networks NeurIPS 2023 WAT: Improve the Worst-Class Robustness in Adversarial Training AAAI 2023