41 citations · 66 across the 2 of their papers we have counts for
3 papers
End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware
Ishai Rosenberg, Guillaume Sicard, Eli David
Malware allegedly developed by nation-states, also known as advanced persistent threats (APT), are becoming more common. The task of attributing an APT to a specific nation-state o…
DeepOrigin: End-to-End Deep Learning for Detection of New Malware Families
Ilay Cordonsky, Ishai Rosenberg, Guillaume Sicard +1
In this paper, we present a novel method of differentiating known from previously unseen malware families. We utilize transfer learning by learning compact file representations tha…
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks
Ishai Rosenberg, Guillaume Sicard, Eli David
In recent years numerous advanced malware, aka advanced persistent threats (APT) are allegedly developed by nation-states. The task of attributing an APT to a specific nation-state…