Witrynaiterative version, and showed that the generated adversarial examples can exist in the physical world. Dong et al. [9] proposed a broad class of momentum-based iterative … WitrynaWe introduce the Intermediate Level Attack (ILA), which attempts to fine-tune an existing adversarial example for greater black-box transferability by increasing its …

Enhancing Transferability of Adversarial Examples with

Witryna1 cze 2024 · To achieve high transferability, many techniques have been proposed to mitigate the overfitting phenomenon from the perspective of data, models, loss design, and optimization methods. Concretely,... Witryna21 lip 2024 · Adversarial examples can attack multiple unknown convolutional neural networks (CNNs) due to adversarial transferability, which reveals the vulnerability of CNNs and facilitates the development of adversarial attacks. However, most of the existing adversarial attack methods possess a limited transferability on vision … smallest twin engine airplane

[2303.15109] Improving the Transferability of Adversarial Examples …

WitrynaIn this paper, we propose an approach based on saliency distribution and data augmentation to generate transferable adversarial examples against the defense models. By optimizing perturbations over non-saliency regions, the generated adversarial examples are less sensitive to the attacked source models and have … WitrynaCVPR 2024 Open Access Repository. Improving the Transferability of Adversarial Samples With Adversarial Transformations. Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 9024-9033. Abstract. Although deep neural networks … Witryna25 cze 2024 · To boost the transferability of adversarial samples, we propose to improve the robustness of synthesized adversarial samples via adversarial transformations. … song on michelob commercial