Project Grant 2616526
- The National Science Foundation Division of Information and Intelligent Systems awarded Duke University $400,000 on September 1, 2026, for collaborative research on zero-knowledge proof acceleration through hardware-software co-design under the Computer and Information Science and Engineering program (CFDA 47.070). The research team will develop hardware and software technologies to accelerate zero-knowledge proofs (ZKPs)—cryptographic methods that allow verification of computations or...
- The National Science Foundation Division of Computer and Network Systems awarded Yale University $297,954 on June 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop cryptographic techniques and systems that enable verifiable computation on private data. The project addresses computational integrity and privacy in cloud services and artificial intelligence systems by combining fully homomorphic encryption—which allows servers to compute directly...
- The National Science Foundation Division of Computer and Network Systems awarded the University of California Santa Cruz $369,079 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop scalable oblivious-private computation methods that hide data access patterns from attackers while processing sensitive information at scale—including encrypted data in trusted execution environments on workloads of tens to hundreds of terabytes and...
- This $600,000 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) and administered by the Division of Computing and Communication Foundations, supports research at Penn State University from November 1, 2025 through October 31, 2028. The project develops a hybrid privacy-preserving artificial intelligence offloading system that integrates multi-party computing (MPC) with specialized hardware...
- The National Science Foundation Division of Computer and Network Systems awarded Southern Methodist University $225,312 on October 1, 2025, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop circuit design techniques and a library of energy-recovery design cells for low-power, differential power analysis (DPA)-resistant cryptographic implementations in Internet-of-Things devices. The project addresses the dual challenge of reducing power consumption while...
- The National Science Foundation awarded a $399,999 project grant to Texas A&M Engineering Experiment Station (doing business as Tees) for research titled "COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: FROM DISTRIBUTED CRYPTOGRAPHY TO BLOCKCHAIN AND BACK." The award period is from May 1, 2021 to April 30, 2025. The project supports investigator-initiated research under the Computer and Information Science and Engineering program (CFDA #47.070). This program aims to advance...
- This $240,062 project grant, awarded by the National Science Foundation (NSF) through its Computer and Information Science and Engineering (CISE) Program (CFDA 47.070), aims to develop efficient and scalable hardware architectures for privacy-preserving neural network inference based on ciphertext-ciphertext fully homomorphic encryption (FHE). The research will focus on designing optimized hardware building blocks, such as polynomial multipliers, and a reconfigurable FHE architecture that...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $404,113 to The Ohio State University to develop application-aware homomorphic encryption algorithms and hardware accelerators for enabling privacy-preserving cloud computing and machine learning. The 3-year project, starting on December 15, 2024, aims to dramatically improve the speed of homomorphic encryption implementations, which...
- The National Science Foundation Division of Computer and Network Systems awarded Trustees of Boston University $422,683 on May 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a unified analytics software stack for secure computation. The award funds research into software abstractions, intermediate representations, and system architectures that integrate cryptographic techniques (fully homomorphic encryption, secure multiparty computation)...
- The National Science Foundation Division of Information and Intelligent Systems awarded $464,384 to the University of California Santa Cruz on April 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070), supporting research on secure and efficient AI infrastructure using Compute Express Link (CXL)-enabled disaggregated shared memory. The project develops secure and scalable abstractions and architectural designs for AI infrastructure that enable large-scale...
The National Science Foundation Division of Information and Intelligent Systems awarded Texas A&M Engineering Experiment Station $400,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to accelerate zero-knowledge proof computations through hardware-software co-design. The project develops faster and more energy-efficient computing systems optimized for privacy-preserving cryptographic operations that enable applications including digital currencies, fraud prevention, secure online identity systems, and trustworthy AI. The research team designs new hardware and software technologies working together to accelerate zero-knowledge proof computations while supporting evolving cryptographic standards. The work explores processing-in-memory architectures, where computation is performed closer to data storage, reducing time and energy required to move data between memory and processors. By reducing processing time and energy consumption, the project aims to make privacy-preserving technologies practical for widespread real-world use, addressing current limitations where existing software solutions running on conventional processors cannot support the speed and scale needed for high-volume financial systems and real-time AI applications. Work is performed in College Station, Texas with a period of performance from September 1, 2026, through August 31, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 7/30/26 |