Thursday, 11 April 2019

Can attackers inject malice into medical imagery? Fake growths here and there

Researchers have found more reason to be concerned over possibilities of tampering within the medical setting. Security watchers are talking about the paper, "CT-GAN: Malicious Tampering of 3-D Medical Imagery using Deep Learning," which is on arXiv. Authors are Yisroel Mirsky, Tom Mahler, Ilan Shelef and Yuval Elovici.

* This article was originally published here