Adversarial Learning

Toward Adversarial Training on Contextualized Language Representation ICLR 2023 Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly NeurIPS 2023 Towards Fairness-aware Adversarial Network Pruning ICCV 2023 Towards Imperceptible Document Manipulations against Neural Ranking Models ACL 2023 Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples AAAI 2023 Towards Transferable Targeted Adversarial Examples CVPR 2023 Trade-Off Between Robustness and Accuracy of Vision Transformers CVPR 2023 Training Meta-Surrogate Model for Transferable Adversarial Attack AAAI 2023 Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients ICCV 2023 Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization CVPR 2023 TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization ICCV 2023 TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets CVPR 2023 T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection CVPR 2023 Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks CVPR 2023 TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization CVPR 2023 Unfooling Perturbation-Based Post Hoc Explainers AAAI 2023 Unlocking Deterministic Robustness Certification on ImageNet NeurIPS 2023 Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches ICCV 2023 Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023 UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning EMNLP 2023 VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design Interspeech 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 Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor CVPR 2023