EvilModel 2.0: Bringing Neural Network Models into Malware Attacks. (arXiv:2109.04344v3 [cs.CR] UPDATED)

Security issues have gradually emerged with the continuous development of
artificial intelligence (AI). Earlier work verified the possibility of
converting neural network models into stegomalware, embedding malware into a
model with limited impact on the model's performance. However, existing methods
are not applicable in real-world attack scenarios and do not attract enough
attention from the security community due to performance degradation and
additional workload. Therefore, we propose an improved stegomalware EvilModel.
By analyzing the composition of the neural network model, …

attacks malware malware attacks network neural network