70 citations · 149 across the 9 of their papers we have counts for
11 papers
Facial Misrecognition Systems: Simple Weight Manipulations Force DNNs to Err Only on Specific Persons
Irad Zehavi, Roee Nitzan, Adi Shamir
In this paper, we describe how to plant novel types of backdoors in any facial recognition model based on the popular architecture of deep Siamese neural networks. These backdoors…
The Dimpled Manifold Model of Adversarial Examples in Machine Learning
Adi Shamir, Odelia Melamed, Oriel BenShmuel
The extreme fragility of deep neural networks, when presented with tiny perturbations in their inputs, was independently discovered by several research groups in 2013. However, des…
Error Resilient Space Partitioning
Orr Dunkelman, Zeev Geyzel, Chaya Keller +4
A major research area in discrete geometry is to consider the best way to partition the -dimensional Euclidean space under various quality criteria. In this paper…
A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance
Adi Shamir, Itay Safran, Eyal Ronen +1
The existence of adversarial examples in which an imperceptible change in the input can fool well trained neural networks was experimentally discovered by Szegedy et al in 2013, wh…
Game of Drones - Detecting Streamed POI from Encrypted FPV Channel
Ben Nassi, Raz Ben-Netanel, Adi Shamir +1
Drones have created a new threat to people's privacy. We are now in an era in which anyone with a drone equipped with a video camera can use it to invade a subject's privacy by str…
Tight Bounds on Online Checkpointing Algorithms
Achiya Bar-On, Itai Dinur, Orr Dunkelman +4
The problem of online checkpointing is a classical problem with numerous applications which had been studied in various forms for almost 50 years. In the simplest version of this p…