The National Science Foundation (NSF) Secure and Trustworthy Cyberspace (SaTC) reached out to support the cybersecurity frontier with a $78.2 million portfolio of more than 225 new projects in 32 states compassing a broad range of educations and research, including usability, privacy, network security, cryptography, and artificial intelligence.
The NSF assistant director for Computer and Information Science and Engineering Jim Kurose said, “NSF’s investments in SaTC are advancing knowledge to protect cyber systems from malicious behaviour, while preserving privacy and promoting usability. Our goal is to identify fundamentally new ways to design, build, and operate secure cyber systems at both the systems and application levels, protect critical infrastructure, and motivate and educate individuals about security and privacy.”
The five-year CTML $10 million award will allow the centre to focus on three interconnected and parallel thrusts of machine learning:
1. Investigating methods to defend a trained model from adversarial inputs.
2. Exploring rigorously grounded measures of model and training data robustness.
3. Identifying ways adversaries may abuse generative machine learning models and developing countermeasures for defending against such attacks.