8 citations · 11 across the 6 of their papers we have counts for
4 papers · 1 filter
Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits
Jonas Sander, Sebastian Berndt, Ida Bruhns +1
The adoption of machine learning solutions is rapidly increasing across all parts of society. As the models grow larger, both training and inference of machine learning models is i…
Util::Lookup: Exploiting key decoding in cryptographic libraries
Florian Sieck, Sebastian Berndt, Jan Wichelmann +1
Implementations of cryptographic libraries have been scrutinized for secret-dependent execution behavior exploitable by microarchitectural side-channel attacks. To prevent unintend…
On the Gold Standard for Security of Universal Steganography
Sebastian Berndt, Maciej Liśkiewicz
While symmetric-key steganography is quite well understood both in the information-theoretic and in the computational setting, many fundamental questions about its public-key count…
Algorithm Substitution Attacks from a Steganographic Perspective
Sebastian Berndt, Maciej Liskiewicz
The goal of an algorithm substitution attack (ASA), also called a subversion attack (SA), is to replace an honest implementation of a cryptographic tool by a subverted one which al…