Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. (arXiv:2204.04063v1 [cs.CV])

One intriguing property of adversarial attacks is their "transferability" --
an adversarial example crafted with respect to one deep neural network (DNN)
model is often found effective against other DNNs as well. Intensive research
has been conducted on this phenomenon under simplistic controlled conditions.
Yet, thus far, there is still a lack of comprehensive understanding about
transferability-based attacks ("transfer attacks") in real-world environments.

To bridge this critical gap, we conduct the first large-scale systematic
empirical study of transfer attacks against …

attacks computer computer vision large scale settings