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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.CR2022
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning
Gorka Abad, Servio Paguada, Oguzhan Ersoy +3
Federated Learning (FL) enables collaborative training of Deep Learning (DL) models where the data is retained locally. Like DL, FL has severe security weaknesses that the attacker…