universal adversarial perturbation

LAMP: Learning Universal Adversarial Perturbations for Multi-Image Tasks via Pre-trained Models AAAI 2026 Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability AAAI 2026 Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization AAAI 2026 Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior CVPR 2025 Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models AAAI 2025 Democratic Training Against Universal Adversarial Perturbations ICLR 2025 Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025 One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models ICCV 2025 UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models CVPR 2025 X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP ICML 2025 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024 DarkSAM: Fooling Segment Anything Model to Segment Nothing NeurIPS 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 2024 Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification NeurIPS 2024 Generate Universal Adversarial Perturbations for Few-Shot Learning NeurIPS 2024 Generating Universal Adversarial Perturbations for Quantum Classifiers AAAI 2024 Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment EMNLP 2024 Relational DNN Verification With Cross Executional Bound Refinement ICML 2024 Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models ICCV 2023 Downstream-agnostic Adversarial Examples ICCV 2023 Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation ICCV 2023 Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks AAAI 2023 On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection ACL 2023 TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization ICCV 2023 CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes AAAI 2022