2 papers
cs.LG2021
Achieving Transparency Report Privacy in Linear Time
Chien-Lun Chen, Leana Golubchik, Ranjan Pal
An accountable algorithmic transparency report (ATR) should ideally investigate the (a) transparency of the underlying algorithm, and (b) fairness of the algorithmic decisions, and…
cs.LG2020
Backdoor Attacks on Federated Meta-Learning
Chien-Lun Chen, Leana Golubchik, Marco Paolieri
Federated learning allows multiple users to collaboratively train a shared classification model while preserving data privacy. This approach, where model updates are aggregated by…