1.5k citations · 2.4k across the 38 of their papers we have counts for
8 papers · 1 filter
Memory Backdoor Attacks on Neural Networks
Eden Luzon, Guy Amit, Roy Weiss +3
Neural networks are often trained on proprietary datasets, making them attractive attack targets. We present a novel dataset extraction method leveraging an innovative training tim…
Efficient Model Extraction via Boundary Sampling
Maor Biton Dor, Yisroel Mirsky
This paper introduces a novel data-free model extraction attack that significantly advances the current state-of-the-art in terms of efficiency, accuracy, and effectiveness. Tradit…
PEAS: A Strategy for Crafting Transferable Adversarial Examples
Bar Avraham, Yisroel Mirsky
Black box attacks, where adversaries have limited knowledge of the target model, pose a significant threat to machine learning systems. Adversarial examples generated with a substi…
The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks
Daniel Ayzenshteyn, Roy Weiss, Yisroel Mirsky
As large language models (LLMs) continue to evolve, their potential use in automating cyberattacks becomes increasingly likely. With capabilities such as reconnaissance, exploitati…
Are You Human? An Adversarial Benchmark to Expose LLMs
Gilad Gressel, Rahul Pankajakshan, Yisroel Mirsky
Large Language Models (LLMs) have demonstrated an alarming ability to impersonate humans in conversation, raising concerns about their potential misuse in scams and deception. Huma…
Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes
Fred Grabovski, Lior Yasur, Guy Amit +1
Recent progress in generative models has made it easier for a wide audience to edit and create image content, raising concerns about the proliferation of deepfakes, especially in h…
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…