4 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation
Alexander Long, Alan Blair, Herke van Hoof
We present Nonparametric Approximation of Inter-Trace returns (NAIT), a Reinforcement Learning algorithm for discrete action, pixel-based environments that is both highly sample an…
Man versus Machine: AutoML and Human Experts' Role in Phishing Detection
Rizka Purwanto, Arindam Pal, Alan Blair +1
Machine learning (ML) has developed rapidly in the past few years and has successfully been utilized for a broad range of tasks, including phishing detection. However, building an…
Simeon -- Secure Federated Machine Learning Through Iterative Filtering
Nicholas Malecki, Hye-young Paik, Aleksandar Ignjatovic +2
Federated learning enables a global machine learning model to be trained collaboratively by distributed, mutually non-trusting learning agents who desire to maintain the privacy of…