CAREER: Robust Machine Learning in the Realistic Open World — NSF Award to North Carolina State University (NC, $331,063)
Machine learning (ML) techniques play a pivotal role in modern artificial intelligence (AI) systems, but they remain notably vulnerable to disruptions caused by security attacks. These vulnerabilities can severely compromise AI system performance or be exploited maliciously, posing significant economic, ethical, and so
| Award title | CAREER: Robust Machine Learning in the Realistic Open World |
|---|---|
| Award ID | 2443182 |
| Awardee | North Carolina State University |
| City | RALEIGH |
| State | NC |
| Amount obligated | $331,063 |
| Principal investigator | Xiaorui Liu |
| Program | Info Integration & Informatics |
| Start date | 07/15/2025 |
| Abstract | Machine learning (ML) techniques play a pivotal role in modern artificial intelligence (AI) systems, but they remain notably vulnerable to disruptions caused by security attacks. These vulnerabilities can severely compromise AI system performance or be exploited maliciously, posing significant economic, ethical, and societal risks. For example, placing a small sticker on a stop sign could cause a self-driving car's perception system to misinterpret it as a speed limit sign, leading to potentiall |
| Source | NSF Awards |
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