RARELY RECOGNIZED ANTIBODY DIVERSIFICATION IN COVID-19 EVOLUTION TO COUNTERACT ADVANCED SARS-COV-2 EVASION STRATEGIES, AND IMPLICATIONS FOR PROPHYLACTIC TREATMENT

Rarely Recognized Antibody Diversification in Covid-19 Evolution to Counteract Advanced SARS-CoV-2 Evasion Strategies, and Implications for Prophylactic Treatment

The ongoing Covid-19 pandemic underscores the importance of finding effective and safe ways to combat the virus, and to optimally understand the immune response elicited upon natural infection.This likely involves all components of the immune system, both innate and adaptive.The impetus for the rapid development of prophylactic treatment options do

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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 generates feature alarecre.com v

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