Tackling long-range malware detection tasks using holographic global convolutional networks

Over the past few decades, cyber-attackers have devised increasingly sophisticated malware that can disrupt the functioning of computer systems or grant them access to sensitive data. The development of techniques that can reliably detect the presence of malware and determine the “family” to which they belong could be highly advantageous, as it could help to neutralize them rapidly, before they cause significant damage.

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