This Project Grant from the National Science Foundation Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $400,000 to support research activities focused on improving the efficiency of secure multi-party computation (MPC) techniques. Specifically, the award funds a research collaboration led by Georgia Tech Research Corporation from April 2023 to March 2027 to explore and implement novel...
The University of Illinois was awarded a $223,670 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research on the fundamental limits of cache-aided multi-user private function retrieval. The goal of this 4-year project is to develop a principled framework for privately retrieving the output of complex functions based on both locally-computed data and data received from remote servers, in order to...
This $599,059 National Science Foundation project grant supports the development of secure multi-party computation programming technology at Rensselaer Polytechnic Institute. The goal is to advance compiler frameworks and optimization techniques that allow non-cryptography experts to write efficient privacy-preserving algorithms for applications like machine learning and data analytics. Key deliverables include an intermediate representation for secure computation and novel intra- and...
The National Science Foundation awarded a $498,041 Project Grant to the Illinois Institute of Technology under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support research on practical memory access pattern obfuscation approaches for current and emerging memory architectures from August 1, 2022 to July 31, 2025. The grant aims to develop integrated, cross-domain secure architecture designs and obfuscation schemes through algorithm, application, and...
The University of Illinois received a three-year $536,197 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant funds research to develop new paradigms for single-server private information retrieval (PIR) including homomorphic encryption composition, vectorized batch PIR, and stateful PIR. The goal is to substantially improve performance...
This three-year, $599,955 National Science Foundation project grant supports research into efficient trustless distributed cryptography at the University of Illinois at Urbana-Champaign. The grantee will study fundamental problems in distributed cryptography such as reliable broadcast, Byzantine fault tolerant consensus, verifiable information dispersal, and distributed randomness beacons. For each problem, the goal is to design new solutions that do not rely on central trust and can match the...
The University of Illinois received a $571,719 project grant award from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant supports research to develop new cryptographic capabilities enabled by quantum technologies. Specifically, the University will conduct two research focuses. The first develops encryption schemes, outsourcing methods, and secure...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program project grant, awarded to Purdue University for $600,000 on December 1, 2023, aims to improve the security and efficiency of secure multi-party computation (MPC) technology. MPC enables computations on private data without revealing non-essential information, facilitating collaboration in social, scientific, commercial, and security domains while maintaining privacy. The project will build a...
The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA #47.070) program to the University of Illinois for a 4-year collaborative research project on privacy-preserving machine learning on graph-structured data. The project aims to develop innovative, efficient algorithms for training and updating large-scale graph neural network models while preserving the privacy of sensitive graph data across applications in areas...
This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at Colorado State University (CSU) to investigate security risks associated with data remanence in static random access memory (SRAM) used in computing systems. The key objectives of this 3-year project are to: 1) characterize the effectiveness of data recovery techniques from discarded SRAM chips, 2) develop cost-effective...