SilentWood: Private Inference Over Gradient-Boosting Decision Forests. R. Ko, A. Kati, R. Akhavan Mahdavi, B. Yoon, J. Shin, I. Moroz, A. Yappinen, M. Onizuka, and F. Kerschbaum. (Under Submission).
CV
Education
- Oct 2019 - Present - PhD Program on Information Technologies and Communications (Mohammed VI Polytechnic University, Morocco)
- Oct 2018 - Oct 2019 - Predoctoral Research Fellowship (Mohammed VI Polytechnic University, Morocco)
- Sept 2016 - Jul 2018 - MSc in Business Intelligence (Sultan Moulay Slimane University, Morocco)
- Sept 2013 - Jul 2016 - BSc in Electronics and Electrical Engineering (Sultan Moulay Slimane University, Morocco)
- Sept 2011 - Jul 2013 - Preparatory Classes to Higher Engineering Schools (Technical school Med 5, Morocco)
Internships
- Research Internship (Oct-2022 –> March-2023)
- ENCRYPTO group at Technische Universität Darmstadt, hosted by Prof. Dr. Thomas Schneider.
Grants
- 2022
- Student Travel Grant by the International Association for Cryptologic Research to attend AsiaCrypt’22.
- Student Travel Grant by the International Association for Cryptologic Research to attend Real World Crypto Symposium’23.
- Oct-2019
- PhD Grant at Mohammed VI Polytechnic University, Morocco (Over 4 years).
- Oct-2018
- Grant to undertake a predoctoral research fellowship of 1 year at Mohammed VI Polytechnic University, Morocco.
Publications
OasisDB: An Oblivious ad Scalable System for Relational Data. H. Ahmed, N. Rao, A. Kati, F. Kerschbaum, and S, Maiyya. (Under Submission).
Private Data Imputation. A. Kati, F. Kerschbaum, and M. Blanton. (Under Submission).
Evaluating Leakage Attacks Against Relational Encrypted Search. P. Ehrler, A. Kati, T. Schneider, and A. Treiber. In The ACM Cloud Computing Security Workshop (CCSW), pp. , 2024.
MAPLE: MArkov Process Leakage attacks on Encrypted Search. S. Kamara, A. Kati, T. Moataz, J. DeMaria, A. Park and A. Treiber. In The 24th Privacy Enhancing Technologies Symposium (PETS), pp. Volume 2024 - Issue 1, 2024.
SoK: Cryptanalysis of Encrypted Search with LEAKER – A framework for LEakage AttacK Evaluation on Real-world data. S. Kamara, A. Kati, T. Moataz, T. Schneider, A. Treiber and M. Yonli. In 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P), pp. 90-108, 2022.