most citedDeceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

103 citations · 179 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2019★ 76 cited

Secure Evaluation of Quantized Neural Networks

Anders Dalskov, Daniel Escudero, Marcel Keller

We investigate two questions in this paper: First, we ask to what extent "MPC friendly" models are already supported by major Machine Learning frameworks such as TensorFlow or PyTo…

cs.LG2018★ 103 cited

Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

Felix Kreuk, Assi Barak, Shir Aviv-Reuven +3

In recent years, deep learning has shown performance breakthroughs in many applications, such as image detection, image segmentation, pose estimation, and speech recognition. Howev…