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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 .
Edward raff
Mohammad mahmudul alam
Booz allen hamilton
Sciencex network
Researchers at university of maryland
Holographic global convolutional networks for long
Holographic reduced representations
Mahmudul alam
Microsoft windows malware
Microsoft malware classification challenge
Holographic global convolutional networks
Long range prediction tasks
Malware detection
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