Project Grant N629092312042

This $300,726 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports research to investigate the security and resiliency of Collaborative Autonomous Driving (COAD) systems. The project, led by researchers at the University at Buffalo and UC Irvine in the U.S. and the Indian Institutes of Technology at Kharagpur and Jodhpur in India, aims to develop a comprehensive framework for examining new attack...

This $700,000 Project Grant awarded by the National Science Foundation (NSF) Division of Computing and Communication Foundations supports research at Michigan State University to enhance the security and robustness of autonomous driving systems against physical-world perceptual illusion attacks. The project aims to develop advanced sensing and learning technologies that can effectively detect and mitigate malicious attempts to create false perceptions that could undermine the safety of...

This $298,747 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program will support collaborative research between the University of California, Irvine (UCI) and the Indian Institutes of Technology (IIT) in Kharagpur and Jodhpur. The project aims to investigate the security and robustness of Collaborative Autonomous Driving (COAD) systems, which consist of connected and autonomous vehicles (CAVs) and...

This $400,601 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop rigorous scientific mechanisms that enable resilience in large-scale cyber-physical systems (CPS), with a focus on connected and autonomous transportation systems (CATS). The key research thrusts include: 1) Modeling cyber, physical, and human assets and their interconnections, as well as economic and policy constraints, to...

This $100,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support planning activities for a future large-scale Secure and Trustworthy Cyberspace (SATC) Frontier proposal. The goal is to advance science, education, and workforce development around supply chain security for connected and autonomous vehicle (CAV) systems. The award will fund a series of activities, including a...

This $799,803 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a new framework named CRASH (Challenging Reinforcement-Learning Based Adversarial Scenarios for Safety Hardening) to effectively stress test and improve the safety of autonomous vehicle software. The framework leverages multi-agent adversarial deep reinforcement learning to automatically generate realistic and challenging...

This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will fund research to develop new techniques that allow autonomous systems like self-driving cars and delivery robots to learn effective behaviors while always respecting strict safety constraints. The University of California, Berkeley will lead this 3-year effort, which aims to create a formal framework for learning control policies that provably...

This Project Grant award from the National Science Foundation Division of Computer and Network Systems provides $148,867 to support research into cooperative neuro-inspired anomaly detection models for connected vehicles. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), the two-year award to Texas State University aims to develop novel algorithmic methods and multi-agent models to identify anomalous sensor readings that could pose safety risks in...

This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to Virginia Polytechnic Institute & State University (Virginia Tech) provides $500,000 in funding from Jul 1, 2023 to Jun 30, 2026 to enhance the security and robustness of autonomous driving systems against physical-world perceptual illusion attacks. The project aims to deepen the understanding of security risks from physical attacks that could undermine the sensing...

This $250,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE, CFDA #47.070) program supports a workshop and issue paper to develop a forward-looking research agenda for securing artificial intelligence (AI) systems. The National Academies of Sciences, Engineering, and Medicine will convene experts across the research community to systematically assess current and emerging threats to AI systems, as well as the risks...