GANG-MAM: GAN BASED ENGINE FOR MODIFYING ANDROID MALWARE

GANG-MAM: GAN based enGine for Modifying Android Malware

Malware detectors based on machine learning are vulnerable to adversarial attacks.Generative Adversarial Networks (GAN) are architectures based on Neural Networks that may be used to produce successful adversarial samples.The interest towards this technology is quickly growing.This paper proposes a system that first Bathing Aids generates feature v

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INTEGRATION OF QSAR AND SAR METHODS FOR THE MECHANISTIC INTERPRETATION OF PREDICTIVE MODELS FOR CARCINOGENICITY

The knowledge-based Toxtree expert system (SAR approach) was integrated with the statistically based counter propagation artificial neural network (CP ANN) model (QSAR approach) to contribute to a better mechanistic understanding of a carcinogenicity model for non-congeneric chemicals using Dragon descriptors and carcinogenic potency for rats as a

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In Vitro Evaluation of Antimicrobial Efficacy of Extracts Obtained from Raw and Fermented Wild Macrofungus, Lenzites quercina

In recent time, there is a major concern about antibiotic resistance displayed by some pathogenic microorganisms and this had involved a continuous search for natural antimicrobial products.The phytochemistry as well as antimicrobial activity of extracts obtained from Lenzites quercina was investigated.The extracts and purified fractions were, resp

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