Project Grant 2155189
- This National Science Foundation project grant provides $100,000 to support research into integrated circuit cloaking against reverse engineering through adversarial machine learning techniques. The University of California, Irvine will utilize the funding over a two-year period ending April 2024 to develop novel integrated circuit cell layouts that cannot be identified through scanning electron microscope images obtained via reverse engineering attempts. Researchers will introduce adversarial...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070) awarded a $148,347 project grant to the University of Maine System (UMS) to develop a new framework for microelectronic security and trust. The key elements of the project are: Using reinforcement learning techniques to discover novel attack vectors against logic locking and identify root causes behind successful attacks. Leveraging explainable artificial intelligence...
- The National Science Foundation Division of Computing and Communication Foundations awarded a $389,661 Project Grant to the University of Texas at Austin from September 1, 2021 to December 31, 2022. The grant supports research under the Computer and Information Science and Engineering program (CFDA 47.070), which aims to advance computing, communications, and information science through investigator-initiated research and development of cyberinfrastructure. Specifically, the University of...
- This $340,000 National Science Foundation project grant supports research at the University of Texas at Austin to develop two-dimensional ambipolar materials and device structures for logical and machine learning circuits. The grant is part of NSF's $47 million Engineering program, which funds research and education activities to advance engineering innovations. Specifically, the researchers will study dual-gate ambipolar field-effect transistors made from two-dimensional materials to design new...
- NSF-DFG SATC: CORE: SMALL Grant Award Summary Worcester Polytechnic Institute received a $510,336 Project Grant from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering program (CFDA 47.070) for the period July 1, 2025 through June 30, 2028. The project focuses on demonstrating practical provable side-channel security in cryptographic hardware by developing advanced physical probing models, scalable validation...
- 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 Project Grant from the National Science Foundation's Integrative Activities program, with a CFDA number of 47.083, provides $515,208 to Prairie View A&M University. The funding supports research to improve detection of malicious hardware alterations in integrated circuits through two complementary approaches. Specifically, the University will analyze circuit delays to detect and locate hardware trojans, develop clock frequency sweeping methods to target trojans despite process...
- The National Science Foundation (NSF) awarded a $749,998 Project Grant under the Computer and Information Science and Engineering (CISE) program to William Marsh Rice University. The 4-year grant, which commenced on October 1, 2023, supports the development of a rigorous approach for monitoring the operation of integrated circuits and the design of a software toolchain and hardware prototype that realizes these monitors. The project aims to advance the reliability, safety, and security of the...
- 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 $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports the development of a new testing methodology to enhance the detection of internal defects in state-of-the-art integrated circuits. The research project aims to generate compact and efficient tests that can comprehensively cover a wide range of resistive defects within individual circuit cells, as well as capture the timing impact of a...
The National Science Foundation Division of Computer and Network Systems awarded a $731,838 Project Grant to the University of Texas at Dallas to develop algorithms and techniques for learning the hidden structure of digital and analog circuits from side-channel measurements. This work aims to advance hardware security and integrity checking by allowing adaptive interaction with circuits to intelligently model arbitrary analog circuit side-channels and utilize non-linear solvers and optimizers. The grant will support three technical tasks: developing solver-based, circuit-based, and statistical/machine-learning solutions for digital circuits; exploring modeling of analog/mixed-signal circuit side-channels; and utilizing results for security analysis and detection of malicious hardware modifications through simulation, programmable hardware, discrete components, and two chip designs. This award falls under the Computer and Information Science and Engineering program (CFDA #47.070) to support investigator-initiated research and education across computing, communications, and information science and engineering fields.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $365.9k | 6/30/22 |