image perturbation

GSE: Group-wise Sparse and Explainable Adversarial Attacks ICLR 2025 L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement ICLR 2025 Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time EMNLP 2025 TrustMark: Robust Watermarking and Watermark Removal for Arbitrary Resolution Images ICCV 2025 AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks NeurIPS 2024 Defense Against Adversarial Cloud Attack on Remote Sensing Salient Object Detection WACV 2024 Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models CVPR 2024 Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations ICML 2023 VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models NeurIPS 2023 Making Adversarial Examples More Transferable and Indistinguishable AAAI 2022 AVA: Adversarial Vignetting Attack against Visual Recognition IJCAI 2021 Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations ICCV 2021 Stronger and Faster Wasserstein Adversarial Attacks ICML 2020 Data Fine-Tuning AAAI 2019