Project Grant 2348432
- This two-year, $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to advance side-channel analysis and protection through deep learning techniques. Funded research at Northeastern University will develop novel methods for applying deep neural networks to both microarchitectural side-channel attacks and effective countermeasures. Key products include a persistent cache monitoring mechanism to improve observation of victim...
- This $194,726 two-year Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at Worcester Polytechnic Institute on machine learning techniques for assessing hardware security against side-channel attacks. The grantee will develop novel approaches using deep learning theoretical foundations to evaluate cryptosystems' resilience to machine learning-enhanced side-channel analysis on real-world implementations. The research aims to address...
- This $180,000 Project Grant award, funded by the National Science Foundation's (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports collaborative research conducted by Arizona State University from October 1, 2025, through September 30, 2028. The project delivers a comprehensive security assessment of machine learning (ML) and artificial intelligence (AI) technologies integrated into electronic design...
- The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $299,905 Project Grant to Loyola University of Chicago to develop and evaluate a comprehensive 12-workshop experiential training program to raise awareness among AI practitioners of the cybersecurity and privacy risks associated with building AI-based systems. The project aims to provide knowledge and skills needed to build AI systems that are secure, ethical, and privacy-preserving. The workshop...
- 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...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computer and Network Systems awarded $347,985 to The Trustees of the Stevens Institute of Technology under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for a CAREER award titled "Privacy-Aware Just-In-Time Compilation." Funded from October 1, 2025, through September 30, 2030, this project will develop a security-aware just-in-time (JIT) compilation framework designed to...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, with a total funding of $174,770, supports the development of an adaptive, federated, continuous learning system that uses a novel federated, semi-supervised learning framework. This framework aims to retrain deep neural network models on distributed, unlabeled, heterogeneous data from edge devices, while leveraging explainable AI techniques to expedite local training. The...
- The National Science Foundation awarded a $600,000 Project Grant to the Trustees of Boston University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research into developing new differentially private stochastic optimization algorithms for training neural networks while preserving individual privacy. Specifically, the grantee will investigate fundamental tradeoffs between privacy and performance in modern...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $170,000 to The Research Foundation For The State University Of New York, doing business as Stony Brook University, from October 1, 2023 to September 30, 2025. The project aims to conduct a comprehensive analysis of the characteristics and vulnerabilities of critical learning periods in federated learning systems in order to advance the study of the...
- The National Science Foundation (NSF) awarded a $581,966 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Pittsburgh. The grant, awarded on May 1, 2024, with a completion date of April 30, 2027, supports the development of a hardware-software co-design framework to address performance and memory space issues for privacy protection in cloud-based deep learning recommendation systems (DLRMs). Key project objectives include: 1)...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $174,998 to The Trustees of the Stevens Institute of Technology to investigate timing side channels in adaptive neural networks. The project aims to: (1) define a threat model for exploiting timing channels to gain sensitive user information, (2) develop a machine learning-based pipeline to utilize these timing channels, (3) create an automated fuzzing approach to guide model development towards mitigating timing vulnerabilities, and (4) build an online monitoring framework to balance privacy, accuracy, and performance in deployed systems. The research is focused on enabling the development of adaptive neural networks that can protect user privacy while still delivering high performance, allowing their deployment on mobile and IoT devices. This project will lead to advancements in automated testing of machine learning frameworks for violations of user privacy.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $175.0k | 6/11/24 |