3 papers
cs.CR2024
Magika: AI-Powered Content-Type Detection
Yanick Fratantonio, Luca Invernizzi, Loua Farah +9
The task of content-type detection -- which entails identifying the data encoded in an arbitrary byte sequence -- is critical for operating systems, development, reverse engineerin…
cs.CL2023
RETSim: Resilient and Efficient Text Similarity
Marina Zhang, Owen Vallis, Aysegul Bumin +2
This paper introduces RETSim (Resilient and Efficient Text Similarity), a lightweight, multilingual deep learning model trained to produce robust metric embeddings for near-duplica…
cs.CR2023
Generalized Power Attacks against Crypto Hardware using Long-Range Deep Learning
Elie Bursztein, Luca Invernizzi, Karel Král +3
To make cryptographic processors more resilient against side-channel attacks, engineers have developed various countermeasures. However, the effectiveness of these countermeasures…