ShuffleDetect: Detecting Adversarial Images against Convolutional Neural Networks por Raluca Chitic, Ali Osman Topal, Franck Leprévost

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Empirical Perturbation Analysis of Two Adversarial Attacks: Black Box versus White Box por Raluca Chitic, Ali Osman Topal, Franck Leprévost

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Toward Understanding Efficient Privacy-Preserving Homomorphic Comparison por Bernardo Pulido-Gaytan, Andrei Tchernykh, Franck Leprevost, Pascal Bouvry, Alfredo Goldman

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The Noise Blowing-Up Strategy Creates High Quality High Resolution Adversarial Images against Convolutional Neural Networks por Ali Osman Topal, Enea Mancellari, Franck Leprévost, Elmir Avdusinovic, Thomas Gillet

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Round-Based Mechanism and Job Packing with Model-Similarity-Based Policy for Scheduling DL Training in GPU Cluster por Panissara Thanapol, Kittichai Lavangnananda, Franck Leprévost, Arnaud Glad, Julien Schleich, Pascal Bouvry

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