3 papers
cs.CR2021
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…
cs.DS2019
THAAD: Efficient Matching Queries under Temporal Abstraction for Anomaly Detection
Roni Mateless, Michael Segal, Robert Moskovitch
In this paper we present a novel algorithm and efficient data structure for anomaly detection based on temporal data. Time-series data are represented by a sequence of symbolic tim…
cs.CR2019
Approximate String Matching for DNS Anomaly Detection
Roni Mateless, Michael Segal
In this paper we propose a novel approach to identify anomalies in DNS traffic. The traffic time-points data is transformed to a string, which is used by new fast appproximate stri…