Matt Wright is awarded a $500,000 NSF SaTC grant on studying adversarial machine learning for better online privacy
The goal of this work is to explore the new landscape of website fingerprinting attacks and defenses in light of recent findings with deep learning. A key aspect of the work is to leverage and build upon recent advances in adversarial machine learning and be the first to apply these new findings to the context of traffic analysis.
Matthew Wright (PI), “SaTC: CORE: Small: Adversarial ML in Traffic Analysis,” NSF SaTC, $500,000. Aug. 2018 to Jul. 2021.