This $250,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at Northeastern University to improve the security of machine learning models in multi-tenant cloud field programmable gate array (FPGA) environments. The three-year award aims to advance understanding of vulnerabilities in cloud-FPGAs shared by multiple tenants, where a malicious actor could potentially manipulate another tenant's machine learning...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $189,898 to the Regents of the University of Minnesota to accelerate the development of practical, efficient, and secure machine learning (ML) as a service. The project aims to advance trustworthy artificial intelligence by tackling challenges around privacy preservation, cryptography, and hardware acceleration for ML models...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a research project focused on securing cloud-based Field Programmable Gate Arrays (FPGAs) from analog temporal side-channel attacks. The $189,509 award, with a project period from December 1, 2024 to November 30, 2028, aims to study, characterize, and develop mitigation techniques for "FPGA pentimenti" - data leakage through...
The National Science Foundation (NSF) awarded a $299,995 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Massachusetts (UMass) to develop novel security approaches for protecting field-programmable gate arrays (FPGAs) used in cloud computing environments.
The key objectives of this 3-year project are to introduce secure operating mechanisms and a security and queue management unit (SQMU) to enable controlled sharing of FPGAs...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070) provides $227,059 in funding to the University of California Santa Cruz (UCSC) to study and develop mitigations for "FPGA Pentimenti" - the leakage of data between subsequent users of cloud-based field programmable gate arrays (FPGAs) through analog effects. The project aims to characterize how data from previous FPGA users...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to secure cloud-based field programmable gate arrays (FPGAs) from analog side-channel attacks. The project, titled "SATC: CORE: MEDIUM: PENTIMENTI - Securing Cloud FPGAs from Analog Temporal Side Channels," will characterize and develop mitigation techniques for "FPGA pentimenti" - data leakage between...
The National Science Foundation (NSF) awarded a $402,229 Computer and Information Science and Engineering (CISE) Program grant to The Research Foundation For The State University Of New York, doing business as Stony Brook University. This 1-year grant, effective November 1, 2023, supports research and development focused on improving the security of machine learning (ML) systems that leverage third-party, pre-trained models. The project aims to develop rigorous methods for detecting and...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $391,848 to Purdue University to develop holistic systems for securing the machine learning supply chain. The project aims to create tools to quantify trust in machine learning supply chains and verify security requirements across those supply chains. The research will also support the development of a diverse next generation of computer...
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, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to advance the security and privacy of on-device machine learning (ML) models used in Internet of Things (IoT)-driven scientific cyberinfrastructure (CI). The $600,000 award to Florida International University (FIU), which includes a sub-award to the University of Texas at Arlington (UTA), has the following key objectives:
Develop a...