3 citations · 8 across the 7 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024★ 2 cited
Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning
Joon Kim, Sejin Park
Federated Learning(FL), in theory, preserves privacy of individual clients' data while producing quality machine learning models. However, attacks such as Deep Leakage from Gradien…
cs.LG2021★ 3 cited
A molecular generative model with genetic algorithm and tree search for cancer samples
Sejin Park, Hyunju Lee
Personalized medicine is expected to maximize the intended drug effects and minimize side effects by treating patients based on their genetic profiles. Thus, it is important to gen…