Especially, adversarial training (AT) and its variants are shown be the strongest defense to resist such transferable AEs. To boost the transferability of AEs against the robust models that have undergone AT, a novel AE generating method is proposed in this paper. The motivation of our method ...
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples 来自 arXiv.org 喜欢 0 阅读量: 139 作者:D Peng,Z Zheng,X Zhang 摘要: Adversarial examples are perturbed inputs designed to fool machine learning models. Most recent works on adversarial examples for image ...
On Generating Transferable Targeted Perturbations (ICCV'21) Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Fatih Porikli Paper: https://arxiv.org/abs/2103.14641 Abstract: While the untargeted black-box transferability of adversarial perturbations has been extensively studied before...
Learning transferable visual models from natural language supervision. In International conference on machine learning, pages 8748–8763. PMLR, 2021b. Ramachandran et al. [2017] Prajit Ramachandran, Barret Zoph, and Quoc V Le. Searching for activation functions. arXiv preprint arXiv:1710.05941...
However, the performance evaluation across various detection models reveals its generalizable and transferable nature. The outcomes of this study help to understand the vulnerabilities of object detectors and inspire AI (artificial intelligence) researchers to develop more robust and resilient defensive ...
Moreover, the evaluation results vary depending on the application domain, and they may not be readily transferable to other domains. Therefore, one needs to design and develop an appropriate evaluation framework specifically for the ongoing target problem. Since we are mainly concerned with the ...