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Kurt Rohloff - New Jersey Institute of Technology. Newark, NJ, US

Kurt Rohloff

Associate Professor, Computer Science | New Jersey Institute of Technology


Professor Rohloff focuses on encrypted computing, homomorphic encryption, lattice-based and applied cryptography and cybersecurity




Kurt Rohloff Publication




AI as a Service with Encrypted Data NJBIZ Panel Discussion: Cybersecurity // Feb. 20, 2018 Kurt Rohloff - Homomorphic Encryption




Kurt Rohloff is an associate professor of computer science at NJIT and the co-founder and director of the NJIT Cybersecurity Research Center. His research interests are in encrypted computing, homomorphic encryption, lattice-based cryptography, applied cryptography, cybersecurity, distributed information management, information access delegation, key management, software engineering, high-assurance design, mobile systems and secure communication protocols. Rohloff received a bachelor's in electrical engineering from the Georgia Institute of Technology in Atlanta and a master of science and doctorate in electrical engineering from the University of Michigan, Ann Arbor.

Areas of Expertise (7)

Contact Tracing

Software Engineering

Cryptography Computer Security and Privacy





Accomplishments (2)

DARPA Director's Fellowship


DARPA Young Faculty Award


Education (3)

University of Michigan: Ph.D., Electrical Engineering: Systems 2004

University of Michigan: M.S., Electrical Engineering: Systems 2001

Georgia Institute of Technology: B.E.E., Electrical Engineering 1999

Affiliations (1)

  • Duality Technologies

Media Appearances (6)

An Evolving Threat

NJBIZ  online


Even small businesses have to worry about cybersecurity, as attacks target employee social security numbers, bank account information and credit card numbers, according to NJIT's Kurt Rohloff.

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Kurt Rohloff of Duality Technologies on the future of encryption

Silicon Republic  online


A pioneer in the world of cryptography, Kurt Rohloff discusses the business potential of homomorphic encryption.

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Safety in Numbers: Computer Scientist Races to Develop Unhackable Code to Protect Everyone’s Data

Tap Into Newark  


Kurt Rohloff stands squarely against these invisible forces. Co-founder of the cybersecurity start-up, Duality Technologies, and director of the NJIT Cybersecurity Research Center, Rohloff is working full-throttle from his Newark base with the ambitious mission of developing a new worldwide cybersecurity standard that will be unhackable...

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Wyden, Rubio, Warner Introduce “Student Right to Know Before You Go Act” to Empower Students as Consumers and Showcase New Privacy-Protecting Technology

Senator Ron Wyden Official Website  


"Insight into the financial benefits of education choices would be invaluable to students trying to navigate the modern marketplace of higher education, allowing them to make much more informed choices. Privacy-preserving technologies that enable computing on data while encrypted is far and away the best way to provide these insights while also protecting the privacy of US citizens."...

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After Equifax breach, how worried should you be about your personal information?

NJTV News  


Computer Science Professor at the New Jersey Institute of Technology Kurt Rohloff said it’s more than just a small inconvenience. “I would say it definitely pays off in the long run. It’s definitely what I’d be doing if I were in that situation,” he said. Rohloff is also the co-founder and director of NJIT’s Cybersecurity Research Center. When asked if breaches are taking place more often or is it more often that we’re hearing about them, he replied, “Probably both.”...

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OPM breach a failure on encryption, detection

Federal Times  


Not all experts agree. Kurt Rohloff, associate professor at the New Jersey Institute of Technology and director of the NJIT Cybersecurity Center questioned the claim that legacy systems can't support encryption. "The statement that legacy systems cannot encrypt may not be completely true," Rohloff said. "It may be very expensive to integrate encryption technologies with legacy systems but it is generally possible."...

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Event Appearances (8)

Prototyping and Using Encrypted Computing Technologies to Protect Data

iSense Seminar  Florida Atlantic University


Computing on Encrypted Data

Waseda Univeristy Computer Science Seminar  Waseda Univeristy, Tokyo, Japan


Approaches to Indistinguishability Obfuscation

Tandon School of Engineering  New York University


Everything you Wanted to Know about DARPA but were Afraid to Ask

Computer Science Seminar  NJIT


Implementing Homomorphic Encryption to Enable Practical and Secure Computing

University of Tartu Computer Research Seminar  University of Tartu


Privacy-Preserving Publish-Subscribe using End-to-End Encryption

Workshop on Surveillance & Technology held with the Privacy Enhancing Technologies Symposium (PETS)  Philadelphia, PA


Applying Homomorphic Encryption for Practical Genomic Privacy

Dagstuhl Seminar 15431  Dagstuhl, Germany


Towards Practical Implementations of Fully Homomorphic Encryption

Algebra and Cryptography Seminar  City University of New York


Research Focus (1)

Researchers apply privacy-preserving AI to large-scale genomic studies


The team says the approach could be applied to other branches of medical research, such as clinical trials, drug repurposing and rare disease studies.

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Patents (7)

System and method for merging encryption data without sharing a private key


Kurt Rohloff April 18, 2017

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System and method to merge encrypted signals in distributed communication system


Kurt Rohloff October 4, 2016

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System and method for encoding encrypted data for further processing


Kurt Rohloff and David Bruce Cousins April 18, 2017

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System and Method for Mixing VoIP Streaming Data for Encrypted Processing


Kurt Rohloff and David Bruce Cousins June 14, 2016

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System and method for operating on streaming encrypted data


Kurt Rohloff May 10 2016

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System and method for merging encryption data using circular encryption key switching.\


Kurt Rohloff April 26, 2016

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System and method to merge encrypted signals in distributed communication system


Kurt Rohloff April 12, 2016

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Research Grants (7)

ONR Human-AI Symbiosis for Agile Planning

Offie of Naval Research $523,000



National Institutes of Health $149,500


We propose the GEARS (GEnomic Analysis Research with Security) effort with the broad goal and vision of our proposal is to enable collaboration and joint analysis of medical data, without compromising data owners’ rights and complying with regulation and privacy concerns. This is achieved by introducing novel technologies from the domain of advanced cryptography that enable keeping raw data encrypted even while analyzing and computing on it...

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Fully Homomorphic Encryption Research

Alfred P. Sloan Foundation $509,038

2017 Fully Homomorphic Encryption (FHE) allows researchers to analyze encrypted data accurately without decrypting those data. It is an intriguing method for providing access to sensitive datasets while respecting both privacy concerns and licensing agreements and may eventually have significant use in privacy-protecting research protocols. This grant funds a project to demonstrate the usefulness of FHE algorithms in academic research.

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Young Faculty Award MARSHAL

DARPA $450,000


I2O Safeware, PALISADE

DARPA $3,400,000


I2O SafeWare OPERA

DARPA $674,000


International Crisis Early Warning System

DARPA $6,000,000


Articles (3)

Why Encryption Holds the Secret to Data Security

TDWI Upside

Kurt Rohloff


Mathematically transforming information into something indistinguishable from gibberish, encryption guarantees that only approved users can reverse the transformation. The transformation's mathematical complexity underpins encryption's robust security.

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A Scalable Implementation of Fully Homomorphic Encryption Built on NTRU

International Conference on Financial Cryptography and Data Security

Kurt Rohloff, David Bruce Cousins

2014 In this paper we report on our work to design, implement and evaluate a Fully Homomorphic Encryption (FHE) scheme. Our FHE scheme is an NTRU-like cryptosystem, with additional support for efficient key switching and modulus reduction operations to reduce the frequency of bootstrapping operations. Ciphertexts in our scheme are represented as matrices of 64-bit integers. The basis of our design is a layered software services stack to provide high-level FHE operations supported by lower-level lattice-based primitive implementations running on a computing substrate. We implement and evaluate our FHE scheme to run on a commodity CPU-based computing environment. We implemented our FHE scheme to run in a compiled C environment and use parallelism to take advantage of multi-core processors. We provide experimental results which show that our FHE implementation provides at least an order of magnitude improvement in runtime as compared to recent publicly known evaluation results of other FHE software implementations.

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An update on SIPHER (scalable implementation of primitives for homomorphic encryption)—FPGA implementation using Simulink

IEEE Conference on High Performance Extreme Computing (HPEC)

David Bruce Cousins, Kurt Rohloff, Chris Peikert, Rick Schantz

2012 Accelerating the development of a practical Fully Homomorphic Encryption (FHE) scheme is the goal of the DARPA PROCEED program. For the past year, this program has had as its focus the acceleration of various aspects of the FHE concept toward practical implementation and use. FHE would be a game-changing technology to enable secure, general computation on encrypted data, e.g., on untrusted off-site hardware. However, FHE will still require several orders of magnitude improvement in computation before it will be practical for widespread use. Recent theoretical breakthroughs demonstrated the existence of FHE schemes, and to date much progress has been made in both algorithmic and implementation improvements. Specifically our contribution to the Proceed program has been the development of FPGA based hardware primitives to accelerate the computation on encrypted data using FHE based on lattice techniques. Our project, SIPHER, has been using a state of the art tool-chain developed by Mathworks to implement VHDL code for FPGA circuits directly from Simulink models. Our baseline Homomorphic Encryption prototypes are developed directly in Matlab using the fixed point toolbox to perform the required integer arithmetic. Constant improvements in algorithms require us to be able to quickly implement them in a high level language such as Matlab. We reported on our initial results at HPEC 2011. In the past year, increases in algorithm complexity have introduced several new design requirements for our FPGA implementation. This report presents new Simulink primitives that had to be developed to deal with these new requirements.

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