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Moshe Sipper
Hyperparameters in machine learning (ML) have received a fair amount of attention, and hyperparameter tuning has come to be regarded as an important step in the ML pipeline. However, just how useful is said tuning? While smaller-scale experiments have be...
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Raz Lapid, Zvika Haramaty and Moshe Sipper
Deep neural networks (DNNs) are sensitive to adversarial data in a variety of scenarios, including the black-box scenario, where the attacker is only allowed to query the trained model and receive an output. Existing black-box methods for creating advers...
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Shahida Anusha Siddiqui, Sipper Khan, Misbah Murid, Zarnab Asif, Natalya Pavlovna Oboturova, Andrey Ashotovich Nagdalian, Andrey Vladimirovich Blinov, Salam A. Ibrahim and Seid Mahdi Jafari
Environmentally intense and negative consequences relateing to conventional meat production systems have induced some actors to suggest alternative meat sources. Diseases carried by animals, human perception of cruelty to animals, and public health conce...
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Mange, D; Sipper, M; Stauffer, A; Tempesti, G
Pág. 516 - 541
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