Project Grant N000142512252

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program, totaling $978,924, will fund research from June 2022 to May 2026 at Harvard University. The award will support the development of theoretical foundations for trust-centered resilience in distributed coordination and optimization of multi-agent systems in the presence of adversaries. Researchers will establish analytical frameworks to efficiently leverage stochastic side...

This three-year, $300,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop scalable defenses against Sybil attacks in dynamic computer networks. The University of New Mexico will collaborate with cybersecurity practitioners and academia through two research workshops to design new defenses where the resource burning cost to legitimate participants grows slowly as a function of the adversary's resources and rate of...

This three-year, $425,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will fund research at The Pennsylvania State University to develop provably secure, online learning-based adaptive cyber defenses for real-world servers. The research aims to provide mathematically rigorous guarantees by synthesizing new models integrating machine learning, game theory, and control theory. It will...

This Project Grant award of $398,249 from the Department of Defense (DoD) Basic Scientific Research program (CFDA 12.431) is supporting research by the University of Texas at Dallas (UTD) and Virginia Polytechnic Institute & State University (Virginia Tech) to develop robust artificial intelligence (AI) systems. The overarching objective is to bolster the defenses of AI systems so that compromising one model does not jeopardize the integrity or functionality of others. The researchers aim...

This $200,000 National Science Foundation Project Grant supports research at Michigan State University to develop data-driven modeling techniques for securing cyber-physical systems. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the two-year award will create automated strategies using reinforcement learning to characterize attacker intent. Researchers will integrate defense approaches combining game theory, reinforcement learning and Bayesian...

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...

This three-year, $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of California, Davis to develop trustworthy machine learning systems through adversarial robust reinforcement learning. Specifically, the award supports investigating potential vulnerabilities in reinforcement learning models and algorithms, developing robust RL approaches that mitigate impacts from adversarial attacks,...

This $299,839 National Science Foundation project grant supports research at the New Jersey Institute of Technology to develop authority distribution techniques for resilient communication networks. The Computer and Information Science and Engineering program aims to advance computing and information sciences through investigator-initiated research and education. Specifically, the grant will fund three interrelated research thrusts over a 30-month period ending January 2025. The first thrust...

The National Science Foundation awarded Princeton University a $411,476 project grant under the Computer and Information Science and Engineering program (CFDA 47.070) to develop the theoretical foundations of trust-centered resilience for distributed coordination and optimization of multi-agent systems in the presence of adversaries. Specifically, the funding will support research from June 2022 to May 2026 to establish analytical frameworks and efficient exploitation of stochastic...

This Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $199,999 to support the development of novel algorithms and schemes for ensuring robust operations of deep neural networks. The award to Texas A&M Engineering Experiment Station, doing business as Tees, will fund the Guardiann project from March 1, 2023 through February 28,...