activity
20012023
most citedA Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance

70 citations · 149 across the 9 of their papers we have counts for

collaborators
Showing cs.CRShow all

8 papers · 1 filter

cs.CR2023

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…

cs.CR2018★ 8 cited

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…

cs.CR2017

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…

cs.CR2017★ 8 cited

Oops!...I think I scanned a malware

Ben Nassi, Adi Shamir, Yuval Elovici

This article presents a proof-of-concept illustrating the feasibility of creating a covert channel between a C\&C server and a malware installed in an organization by exploiting an…

cs.CR2009

RFID Authentication, Efficient Proactive Information Security within Computational Security

Shlomi Dolev, Marina Kopeetsky, Adi Shamir

We consider repeated communication sessions between a RFID Tag (e.g., Radio Frequency Identification, RFID Tag) and a RFID Verifier. A proactive information theoretic security sche…

cs.CR2007★ 20 cited

Cryptanalysis of group-based key agreement protocols using subgroup distance functions

Dima Ruinskiy, Adi Shamir, Boaz Tsaban

We introduce a new approach for cryptanalysis of key agreement protocols based on noncommutative groups. This approach uses functions that estimate the distance of a group element…