12 citations · 48 across the 17 of their papers we have counts for
5 papers · 1 filter
Detecting Anomalous Network Communication Patterns Using Graph Convolutional Networks
Yizhak Vaisman, Gilad Katz, Yuval Elovici +1
To protect an organizations' endpoints from sophisticated cyberattacks, advanced detection methods are required. In this research, we present GCNetOmaly: a graph convolutional netw…
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection
Orel Lavie, Asaf Shabtai, Gilad Katz
Many challenging real-world problems require the deployment of ensembles multiple complementary learning models to reach acceptable performance levels. While effective, applying th…
jTrans: Jump-Aware Transformer for Binary Code Similarity
Hao Wang, Wenjie Qu, Gilad Katz +5
Binary code similarity detection (BCSD) has important applications in various fields such as vulnerability detection, software component analysis, and reverse engineering. Recent s…
Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution
Yiftach Savransky, Roni Mateless, Gilad Katz
Cloud-based machine learning services (CMLS) enable organizations to take advantage of advanced models that are pre-trained on large quantities of data. The main shortcoming of usi…
Transferable Cost-Aware Security Policy Implementation for Malware Detection Using Deep Reinforcement Learning
Yoni Birman, Shaked Hindi, Gilad Katz +1
Malware detection is an ever-present challenge for all organizational gatekeepers, who must maintain high detection rates while minimizing interruptions to the organization's workf…