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cs.LG2023
Transpose Attack: Stealing Datasets with Bidirectional Training
Guy Amit, Mosh Levy, Yisroel Mirsky
Deep neural networks are normally executed in the forward direction. However, in this work, we identify a vulnerability that enables models to be trained in both directions and on…
cs.AI2023
Discussion Paper: The Threat of Real Time Deepfakes
Guy Frankovits, Yisroel Mirsky
Generative deep learning models are able to create realistic audio and video. This technology has been used to impersonate the faces and voices of individuals. These ``deepfakes''…
cs.CR2023
Deepfake CAPTCHA: A Method for Preventing Fake Calls
Lior Yasur, Guy Frankovits, Fred M. Grabovski +1
Deep learning technology has made it possible to generate realistic content of specific individuals. These `deepfakes' can now be generated in real-time which enables attackers to…