Adversarial Learning

SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023 StyLess: Boosting the Transferability of Adversarial Examples CVPR 2023 Text Adversarial Purification as Defense against Adversarial Attacks ACL 2023 TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification ICLR 2023 The Dark Side of AutoML: Towards Architectural Backdoor Search ICLR 2023 The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training CVPR 2023 The Many Faces of Adversarial Machine Learning AAAI 2023 Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection AAAI 2023 Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks CVPR 2023 Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition CVPR 2023 Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs AAAI 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 Training Meta-Surrogate Model for Transferable Adversarial Attack AAAI 2023 Training-Time Attacks against K-nearest Neighbors 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 TrojText: Test-time Invisible Textual Trojan Insertion ICLR 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