A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input
Mahpud, Bar; Sheffet, Or. (2025). "A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input." NeurIPS 2025.
CV (2026)
Education
- Ph.D. in Computer Engineering, Bar-Ilan University, 2022 – Present
- Research Area: Differential Privacy, High-Dimensional Statistics, and Machine Learning Theory
- Advisor: Prof. Or Sheffet
- Expected Completion: Summer 2026
- M.Sc. in Computer Engineering, Bar-Ilan University, 2020 – 2022
- Graduated with honors
- Thesis: Design and Analysis of Randomized Algorithms under Differential Privacy
- B.Sc. in Computer Engineering, Bar-Ilan University, 2015 – 2019
- Graduated with honors, Cyber Security track
Work experience
- Head of Department, J6 & Cyber Defence Directorate, IDF — Rishon LeZion, Israel
- Aug 2023 – Aug 2026
- Leading three R&D teams: two in Full-Stack & DevOps and one in RF Engineering.
- Oversee algorithmic research, system architecture, and large-scale communication solutions.
- R&D Team Leader, J6 & Cyber Defence Directorate, IDF — Rishon LeZion, Israel
- Oct 2019 – Aug 2023
- Led development of ML-based and full-stack systems.
- Focus areas: DevOps automation, distributed systems, AI pipelines, and advanced IP communication.
- Assistant Lecturer, Faculty of Engineering, Bar-Ilan University — Ramat Gan, Israel
- Oct 2018 – Oct 2019; Oct 2021 – Present
- Courses: Computer Networks and Internet, Software Engineering, Operating Systems.
Skills
- Algorithms Design & Analysis
- Differential Privacy & Statistical Learning
- Full-Stack Development & DevOps
- Backend (Flask, FastAPI)
- Frontend (React, Angular)
- CI/CD, Docker, Kubernetes
- Programming Languages: Python, Java, C++
- Networking & Operating Systems
- Communication & Leadership
Publications
Privacy-Preserving Conformal Prediction Under Local Differential Privacy
Penso, Coby; Mahpud, Bar; Goldberger, Jacob; Sheffet, Or. (2025). "Privacy-Preserving Conformal Prediction Under Local Differential Privacy." COPA 2025.
Differentially Private Approximation of the John Ellipsoid
Mahpud, Bar; Sheffet, Or; Omer, Daniel. (2026). "Differentially Private Approximation of the John Ellipsoid." (under review).
A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem
Mahpud, Bar; Sheffet, Or. (2022). "A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem." NeurIPS 2022.
Differentially Private Learning of Exponential Distributions: Adaptive Algorithms and Tight Bounds
Mahpud, Bar; Sheffet, Or. (2025). "Differentially Private Learning of Exponential Distributions: Adaptive Algorithms and Tight Bounds." (under review).