4 papers
A Systematic Framework for Tabular Data Disentanglement
Ivan Tjuawinata, Andre Gunawan, Anh Quan Tran +6
Tabular data, widely used in various applications such as industrial control systems, finance, and supply chain, often contains complex interrelationships among its attributes. Dat…
MPRU: Modular Projection-Redistribution Unlearning as Output Filter for Classification Pipelines
Minyi Peng, Darian Gunamardi, Ivan Tjuawinata +1
As a new and promising approach, existing machine unlearning (MU) works typically emphasize theoretical formulations or optimization objectives to achieve knowledge removal. Howeve…
A Failure-Free and Efficient Discrete Laplace Distribution for Differential Privacy in MPC
Ivan Tjuawinata, Jiabo Wang, Mengmeng Yang +3
In an MPC-protected distributed computation, although the use of MPC assures data privacy during computation, sensitive information may still be inferred by curious MPC participant…
Privacy-Preserving Federated Unlearning with Certified Client Removal
Ziyao Liu, Huanyi Ye, Yu Jiang +4
In recent years, Federated Unlearning (FU) has gained attention for addressing the removal of a client's influence from the global model in Federated Learning (FL) systems, thereby…