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cs.LG2025
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
Christophe El Zeinaty, Wassim Hamidouche, Glenn Herrou +2
This paper introduces a novel framework for designing efficient neural network architectures specifically tailored to tiny machine learning (TinyML) platforms. By leveraging large…
cs.LG2019
Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification
Sid Ahmed Fezza, Yassine Bakhti, Wassim Hamidouche +1
Deep neural networks (DNNs) have recently achieved state-of-the-art performance and provide significant progress in many machine learning tasks, such as image classification, speec…