Peer-reviewed papers
Wissenschaftliche Veröffentlichungen und Beiträge aus dem Forschungsnetzwerk Anonymisierung.
Alle Publikationen
ReDASH: Fast and Efficient Scaling in Arithmetic Garbled Circuits for Secure Outsourced Inference
Authors
Felix Maurer and Jonas Sander and Thomas Eisenbarth
Published In
Applied Cryptography and Network Security Workshops
"ReDash extends Dash's arithmetic garbled circuits to provide a more flexible and efficient framework for secure outsourced inference. By introducing a novel garbled scaling gadget based on a generalized base extension for the residue number system, ReDash removes Dash's limitation of scaling exclusively by powers of two. This enables arbitrary scaling factors drawn from the residue number system's modular base, allowing for tailored quantization schemes and more efficient model evaluation."
DRAMatic Speedup: Accelerating HE Operations on a Processing-in-Memory System
Niklas Klinger and Jonas Sander and Peterson Yuhala and Pascal Felber and Thomas Eisenbarth
SLasH-DSA: Breaking SLH-DSA Using an Extensible End-To-End Rowhammer Framework
Jeremy Boy and Antoon Purnal and Anna Pätschke and Luca Wilke and Thomas Eisenbarth
Non-omniscient backdoor injection with one poison sample: Proving the one-poison hypothesis for linear regression, linear classification, and 2-layer ReLU neural networks
Thorsten Peinemann and Paula Arnold and Sebastian Berndt and Thomas Eisenbarth and Esfandiar Mohammadi
Lifted Model Construction without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs
Malte Luttermann and Ralf Möller and Marcel Gehrke
