no code implementations • 6 May 2021 • David Berend
As Deep Learning (DL) is continuously adopted in many safety critical applications, its quality and reliability start to raise concerns.
no code implementations • 10 Mar 2021 • Yam Sharon, David Berend, Yang Liu, Asaf Shabtai, Yuval Elovici
Prior research on bypassing NIDSs has mainly focused on perturbing the features extracted from the attack traffic to fool the detection system, however, this may jeopardize the attack's functionality.
no code implementations • 30 Oct 2020 • Tzvika Shapira, David Berend, Ishai Rosenberg, Yang Liu, Asaf Shabtai, Yuval Elovici
The performance of a machine learning-based malware classifier depends on the large and updated training set used to induce its model.
2 code implementations • 11 Sep 2020 • Yushi Cao, David Berend, Palina Tolmach, Guy Amit, Moshe Levy, Yang Liu, Asaf Shabtai, Yuval Elovici
One of the main causes of unfair behavior in age prediction methods lies in the distribution and diversity of the training data.