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CESG Seminar: Hardware-Based Acceleration of Homomorphic Encryption

October 30 @ 10:40 am - 11:30 am


Dr. Michail (Mihalis) Maniatakos

Associate Professor in Electrical and Computer Engineering

New York University at Abu Dhabi, UAE

(Zoom link below)

Title: Hardware-Based Acceleration of Homomorphic Encryption

Talking Points:

– Introduction to homomorphic encryption
– Hardware designs for accelerating homomorphic encryption
– Architectural support for homomorphic encryption
– High-level framework for compiling C++ program with homomorphically encrypted operands


The rapid expansion and increased popularity of cloud computing comes with no shortage of privacy concerns about outsourcing computation to semi-trusted parties. While cryptography has been successfully used to solve data-in-transit (e.g., HTTPS) and data-at-rest (e.g., AES encrypted hard disks) concerns, data-in-use protection remains unsolved. Homomorphic encryption, the ability to meaningfully manipulate data while data remains encrypted, has emerged as a prominent solution. The performance degradation compared to non-private computation, however, limits its practicality. In this talk, we will discuss our ongoing efforts towards accelerating homomorphic encryption at the hardware level. We will present the first ASIC implementation of a partially homomorphic encrypted co-processor, as well as discuss the prototype of a fully homomorphic encryption accelerator. The talk will also introduce E3, our framework for compiling C++ programs to their homomorphically encrypted counterparts, as well as E3X, our architectural extensions for accelerating computation on encrypted data demonstrated on an OpenRISC architecture.


Michail Maniatakos is an Associate Professor of Electrical and Computer Engineering at New York University Abu Dhabi, UAE, and a Global Network University Associate Professor at the NYU Tandon School of Engineering, USA. He is the Director of the MoMA Laboratory (nyuad.nyu.edu/momalab). He received his Ph.D. in Electrical Engineering, as well as M.Sc., M.Phil. degrees from Yale University, New Haven, CT, USA. He also received the B.Sc. and M.Sc. degrees in Computer Science and Embedded Systems, respectively, from the University of Piraeus, Greece. His research interests, funded by industrial partners, the US government, and the UAE government, include privacy-preserving computation, industrial control systems security, and machine learning security. Prof. Maniatakos has authored several publications in IEEE transactions and conferences, holds patents on privacy-preserving data processing and serves in the technical program committee for various international conferences. His cybersecurity work has also been extensively covered by Reuters and BBC.



Click for Zoom Link:



Meeting ID: 945 2699 4449; Passcode: Fall2020


October 30
10:40 am - 11:30 am