transfer-based attack

Text-Guided Gradient Refinement: Resolving Multimodal Gradient Conflicts to Boost Adversarial Attacks on Vision-Language Models AAAI 2026 Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025 Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks CVPR 2025 Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance ICCV 2025 AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024 Improved Generation of Adversarial Examples Against Safety-aligned LLMs NeurIPS 2024 OSLO: One-Shot Label-Only Membership Inference Attacks NeurIPS 2024 Boosting Adversarial Transferability by Achieving Flat Local Maxima NeurIPS 2023 CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning AAAI 2023 Rethinking the Backward Propagation for Adversarial Transferability NeurIPS 2023 Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly NeurIPS 2023 Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization CVPR 2023 T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection CVPR 2023 Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients IJCAI 2022 Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021 Improving Black-box Adversarial Attacks with a Transfer-based Prior NeurIPS 2019