Jul 5, 2024 · Metadata. Available format(s): PDF; Category: Attacks and cryptanalysis; Publication info: Preprint. Keywords: Side Channel AttackMuti ...
This study introduces the Fusion Channel Attack with POI Learning Encoder (FCA), which employs a set of POI Learning encoders that learn the inverse base ...
This study introduces the Fusion Channel Attack with POI Learning Encoder (FCA), which employs a set of POI Learning encoders that learn the inverse base ...
Oct 17, 2022 · In order to study the application of deep learning in side channel attack, this paper optimizes the convolutional operation and proposes a ...
While state-of-the-art attacks have shown promising results against desynchronization countermeasures, a robust attack strategy has yet to be realized.
Robust Anomaly based Attack Detection in Smart Grids under Data Poisoning Attacks. CPSS '22: Proceedings of the 8th ACM on Cyber-Physical System Security ...
Feb 24, 2024 · In this paper we present fusion encoder networks (FENs): a class of algorithms for creating neural networks that map fixed-length sequences to ...
In the last decade, machine learning-based side-channel attacks have become a standard option when investigating profiling side-channel attacks.
Jul 3, 2024 · One widely utilized attack technique for side-channel attacks is deep learning. However, the efficiency of deep learning attacks can be ...
Missing: POI Encoder.
Fusion Channel Attack with POI Learning Encoder. Xinyao Li. ,. Xiwen Ren ... Manifold Learning Side-Channel Attacks against Masked Cryptographic Implementations.