108 citations · 136 across the 9 of their papers we have counts for
15 papers
The Security of Deep Learning Defences for Medical Imaging
Moshe Levy, Guy Amit, Yuval Elovici +1
Deep learning has shown great promise in the domain of medical image analysis. Medical professionals and healthcare providers have been adopting the technology to speed up and enha…
The Threat of Offensive AI to Organizations
Yisroel Mirsky, Ambra Demontis, Jaidip Kotak +7
AI has provided us with the ability to automate tasks, extract information from vast amounts of data, and synthesize media that is nearly indistinguishable from the real thing. How…
IPatch: A Remote Adversarial Patch
Yisroel Mirsky
Applications such as autonomous vehicles and medical screening use deep learning models to localize and identify hundreds of objects in a single frame. In the past, it has been sho…
Lightweight Collaborative Anomaly Detection for the IoT using Blockchain
Yisroel Mirsky, Tomer Golomb, Yuval Elovici
Due to their rapid growth and deployment, the Internet of things (IoT) have become a central aspect of our daily lives. Unfortunately, IoT devices tend to have many vulnerabilities…
The Creation and Detection of Deepfakes: A Survey
Yisroel Mirsky, Wenke Lee
Generative deep learning algorithms have progressed to a point where it is difficult to tell the difference between what is real and what is fake. In 2018, it was discovered how ea…
DANTE: A framework for mining and monitoring darknet traffic
Dvir Cohen, Yisroel Mirsky, Yuval Elovici +4
Trillions of network packets are sent over the Internet to destinations which do not exist. This 'darknet' traffic captures the activity of botnets and other malicious campaigns ai…