3 citations · 4 across the 8 of their papers we have counts for
8 papers
ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams
Freddie Grabovski, Gilad Gressel, Yisroel Mirsky
Large Language Models (LLMs), combined with Text-to-Speech (TTS) and Automatic Speech Recognition (ASR), are increasingly used to automate voice phishing (vishing) scams. These sys…
PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting
Elad Feldman, Jacob Shams, Dudi Biton +7
The safety of autonomous cars has come under scrutiny in recent years, especially after 16 documented incidents involving Teslas (with autopilot engaged) crashing into parked emerg…
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks
Roey Bokobza, Yisroel Mirsky
Our paper presents a novel defence against black box attacks, where attackers use the victim model as an oracle to craft their adversarial examples. Unlike traditional preprocessin…
What Was Your Prompt? A Remote Keylogging Attack on AI Assistants
Roy Weiss, Daniel Ayzenshteyn, Guy Amit +1
AI assistants are becoming an integral part of society, used for asking advice or help in personal and confidential issues. In this paper, we unveil a novel side-channel that can b…
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''…
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…