This Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, aims to improve techniques for verifying the safety and reliability of probabilistic programs. The $145,557 award, with a project period from May 1, 2025 to April 30, 2027, will support the development of novel abstract interpretation domains to analyze programs that incorporate complex, continuous probability distributions. This will enable more comprehensive verification of probabilistic programs, which are a critical component of many machine learning algorithms. The project seeks to make advancements in this under-studied area, ultimately enhancing the safety and robustness of machine learning systems. The award will also provide valuable software verification training for undergraduate students at the lead institution, the Reed Institute located in Portland, Oregon. No subawards are planned under this grant.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $145.6k | 1/7/25 |