Michail Maniatakos

Associate Professor, New York University Abu Dhabi

Joined

May 2022

Names

Michail Maniatakos (Preferred)

Emails

****@nyu.edu (Confirmed)

Personal Links

Career & Education History

Associate Professor

New York University Abu Dhabi (nyu.edu)

2012 – Present

PhD student

Yale University (yale.edu)

2007 – 2012

Advisors, Relations & Conflicts

PhD Advisor

Yiorgos Makris

Present

PhD Advisee

Nektarios Tsoutsos

Present

PhD Advisee

Charalambos Konstantinou

Present

Expertise

Security

Present

Privacy

Present

Publications

DRAUN: An Optimization-Agnostic Data Reconstruction Attack on Federated Unlearning
Hithem Lamri, Manaar Alam, Haiyan Jiang, Michail Maniatakos
- AISTATS 2026 Poster
- Readers: Everyone
PAPER: Privacy-Preserving ResNet Models using Low-Degree Polynomial Approximations and Structural Optimizations on Leveled FHE
Eduardo Chielle, Manaar Alam, Jinting Liu, Jovan Kascelan, Michail Maniatakos
- Submitted to ICLR 2026
- Readers: Everyone
Privacy-preserving machine learning for healthcare: open challenges and future perspectives
Alejandro Guerra-Manzanares, Leopoldo Julian Lechuga Lopez, Michail Maniatakos, Farah Shamout
- Published: 07 Mar 2023, Last Modified: 04 Apr 2023
- ICLR 2023 Workshop TML4H Oral
- Readers: Everyone
Privacy-preserving machine learning for healthcare: open challenges and future perspectives
Alejandro Guerra-Manzanares, L. Julian Lechuga Lopez, Michail Maniatakos, Farah E. Shamout
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
RPU: The Ring Processing Unit
Deepraj Soni, Negar Neda, Naifeng Zhang, Benedict Reynwar, Homer Gamil, Benjamin Heyman, Mohammed Thari Nabeel, Ahmad Al Badawi, Yuriy Polyakov, Kellie Canida, Massoud Pedram, Michail Maniatakos, David Bruce Cousins, Franz Franchetti, Matthew French, Andrew G. Schmidt, Brandon Reagen
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation
David Bruce Cousins, Yuriy Polyakov, Ahmad Al Badawi, Matthew French, Andrew Schmidt, Ajey Jacob, Benedict Reynwar, Kellie Canida, Akhilesh R. Jaiswal, Clynn Mathew, Homer Gamil, Negar Neda, Deepraj Soni, Michail Maniatakos, Brandon Reagen, Naifeng Zhang, Franz Franchetti, Patrick Brinich, Jeremy Johnson, Patrick Broderick et al. (4 additional authors not shown)
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems
Yue Wang, Wending Li, Michail Maniatakos, Saif Eddin Jabari
- Published: 01 Jan 2023, Last Modified: 13 May 2023
- CoRR 2023
- Readers: Everyone
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
Manaar Alam, Hithem Lamri, Michail Maniatakos
- Published: 01 Jan 2023, Last Modified: 13 May 2023
- CoRR 2023
- Readers: Everyone
PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations
Manaar Alam, Esha Sarkar, Michail Maniatakos
- 2022 (modified: 17 Apr 2023)
- CoRR 2022
- Readers: Everyone
FaceHack: Attacking Facial Recognition Systems Using Malicious Facial Characteristics
Esha Sarkar, Hadjer Benkraouda, Gopika Krishnan, Homer Gamil, Michail Maniatakos
- Published: 01 Jan 2022, Last Modified: 13 May 2023
- IEEE Trans. Biom. Behav. Identity Sci. 2022
- Readers: Everyone

View all 123 publications

Co-Authors

View all 134 co-authors