activity
20162022
most citedRosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code

12 citations · 26 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CR2022

Playing with blocks: Toward re-usable deep learning models for side-channel profiled attacks

Servio Paguada, Lejla Batina, Ileana Buhan +1

This paper introduces a deep learning modular network for side-channel analysis. Our deep learning approach features the capability to exchange part of it (modules) with others net…

cs.CR20229 cited

Breaking a fully Balanced ASIC Coprocessor Implementing Complete Addition Formulas on Weierstrass Elliptic Curves

Ievgen Kabin, Zoya Dyka, Dan Klann +3

In this paper we report on the results of selected horizontal SCA attacks against two open-source designs that implement hardware accelerators for elliptic curve cryptography. Both…

cs.CR202112 cited

Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code

Madura A. Shelton, Łukasz Chmielewski, Niels Samwel +3

Side-channel attacks are a major threat to the security of cryptographic implementations, particularly for small devices that are under the physical control of the adversary. While…

cs.CR2021

SoK: Design Tools for Side-Channel-Aware Implementations

Ileana Buhan, Lejla Batina, Yuval Yarom +1

Side-channel attacks that leak sensitive information through a computing device's interaction with its physical environment have proven to be a severe threat to devices' security,…

cs.CR2021

Auto-tune POIs: Estimation of distribution algorithms for efficient side-channel analysis

Unai Rioja, Lejla Batina, Jose Luis Flores +1

Due to the constant increase and versatility of IoT devices that should keep sensitive information private, Side-Channel Analysis (SCA) attacks on embedded devices are gaining visi…

cs.CR20205 cited

Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel

Zhuoran Liu, Niels Samwel, Léo Weissbart +4

We introduce screen gleaning, a TEMPEST attack in which the screen of a mobile device is read without a visual line of sight, revealing sensitive information displayed on the phone…