Web: http://arxiv.org/abs/2209.09502

Sept. 21, 2022, 1:13 a.m. | Abhishek Aich, Calvin Khang-Ta, Akash Gupta, Chengyu Song, Srikanth V. Krishnamurthy, M. Salman Asif, Amit K. Roy-Chowdhury

cs.CV updates on arXiv.org arxiv.org

The majority of methods for crafting adversarial attacks have focused on
scenes with a single dominant object (e.g., images from ImageNet). On the other
hand, natural scenes include multiple dominant objects that are semantically
related. Thus, it is crucial to explore designing attack strategies that look
beyond learning on single-object scenes or attack single-object victim
classifiers. Due to their inherent property of strong transferability of
perturbations to unknown models, this paper presents the first approach of
using generative models for …

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