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Scale-Adaptive Adversarial Patch Attack for Remote Sensing Image Aircraft Detection
2021
Remote Sensing
With the adversarial attack of convolutional neural networks (CNNs), we are able to generate adversarial patches to make an aircraft undetectable by object detectors instead of covering the aircraft with large camouflage nets. However, aircraft in remote sensing images (RSIs) have the problem of large variations in scale, which can easily cause size mismatches between an adversarial patch and an aircraft. A small adversarial patch has no attack effect on large aircraft, and a large adversarial
doi:10.3390/rs13204078
fatcat:ehh3ykajijbj7osqcyemm5w5ye