Detecting Cyber Attacks in Industrial Control Systems Using Convolutional Neural Networks. - Moshe Kravchik; Asaf Shabtai (CPS-SPC@CCS, 2018)

Anomaly detection; Industrial control systems; convolutional neural networks. - Moshe Kravchik; Asaf Shabtai (CoRR, 2018)

Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks. - Moshe Kravchik; Asaf Shabtai (CoRR, 2019)

Can't Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks. - Moshe Kravchik; Asaf Shabtai (CoRR, 2020)

Spoofing Attack on Ultrasonic Distance Sensors Using a Continuous Signal. - Tomer Gluck; Moshe Kravchik; Samuel Chocron; Yuval Elovici; Asaf Shabtai (Sensors, 2020)

The Translucent Patch: A Physical and Universal Attack on Object Detectors. - Alon Zolfi; Moshe Kravchik; Yuval Elovici; Asaf Shabtai (CVPR, 2021)

Poisoning attacks on cyber attack detectors for industrial control systems. - Moshe Kravchik; Battista Biggio; Asaf Shabtai (SAC, 2021)

Practical Evaluation of Poisoning Attacks on Online Anomaly Detectors in Industrial Control Systems. - Moshe Kravchik; Luca Demetrio; Battista Biggio; Asaf Shabtai (Comput. Secur., 2022)

Efficient Cyber Attack Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA. - Moshe Kravchik; Asaf Shabtai (IEEE Trans. Dependable Secur. Comput., 2022)

Rule-ATT&CK Mapper (RAM): Mapping SIEM Rules to TTPs Using LLMs. - Prasanna N. Wudali; Moshe Kravchik; Ehud Malul; Parth Atulbhai Gandhi; Yuval Elovici; Asaf Shabtai (CoRR, 2025)