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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
About
Personal website of Nitzan Farhi Shahar, PhD
Projects
Projects by Nitzan Farhi Shahar
Posts
datasets
Detecting Security Patches via Behavioral Data
Commit and developer activity metadata from over 13,000 Git repositories used for security patch classification.
PatchView Dataset
Code diffs, commit messages, and repository metadata used for training models to identify security patches.
Shafdan Wastewater Treatment Plant Bio-Reactor Measurements
Multi-year sensor measurements and water quality laboratory data from the Shafdan wastewater treatment plant.
publications
Malboard: A novel user keystroke impersonation attack and trusted detection framework based on side-channel analysis
Published in Computers & Security, 2019
A study on keystroke impersonation attacks using custom USB hardware and a defense framework based on acoustic and timing side-channel data.
Recommended citation: Nitzan Farhi, Nir Nissim, Yuval Elovici, "Malboard: A novel user keystroke impersonation attack and trusted detection framework based on side-channel analysis." Computers & Security, Vol. 85, pp. 240-269, 2019.
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Prediction of wastewater treatment quality using LSTM neural network
Published in Environmental Technology & Innovation, 2021
Uses LSTM recurrent neural networks to predict effluent quality parameters from sensor data at a municipal wastewater treatment plant.
Recommended citation: Nitzan Farhi, Efrat Kohen, Hadas Mamane, Yuval Shavitt, "Prediction of wastewater treatment quality using LSTM neural network." Environmental Technology & Innovation, Vol. 23, 101632, 2021.
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A Study of Aggregation of Long Time-series Input for LSTM Neural Networks
Published in OpenReview / ICLR, 2022
Evaluates exponential temporal aggregation for long time-series sequences in LSTM networks to preserve recent detail while summarizing past context.
Recommended citation: Nitzan Farhi, Yuval Shavitt, "A Study of Aggregation of Long Time-series Input for LSTM Neural Networks." OpenReview, 2022.
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Prediction of a full scale WWTP activated sludge SVI test using an LSTM neural network
Published in Environmental Science: Water Research & Technology, 2022
Uses an LSTM neural network to forecast the Sludge Volume Index (SVI) using operational sensor measurements from a wastewater treatment plant.
Recommended citation: Efrat Kohen, Nitzan Farhi, Yuval Shavitt, Hadas Mamane, "Prediction of a full scale WWTP activated sludge SVI test using an LSTM neural network." Environmental Science: Water Research & Technology, Vol. 8, No. 11, pp. 2786-2795, 2022.
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Detecting Security Patches via Behavioral Data in Code Repositories
Published in arXiv / AAAI AICS, 2023
Identifies security patches across repositories using developer activity and commit metadata, without relying on source code analysis.
Recommended citation: Nitzan Farhi, Noam Koenigstein, Yuval Shavitt, "Detecting Security Patches via Behavioral Data in Code Repositories." arXiv preprint arXiv:2302.02112 / AAAI Workshop on Artificial Intelligence for Cyber Security (AICS), 2023.
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PatchView: Multi-modality detection of security patches
Published in Computers & Security, 2025
A method to identify unlabeled security patches in open-source software by combining code diffs, commit messages, and developer activity metadata.
Recommended citation: Nitzan Farhi, Noam Koenigstein, Yuval Shavitt, "PatchView: Multi-modality detection of security patches." Computers & Security, Vol. 151, 104356, 2025.
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