Privacy-Preserving Taxi-Demand Prediction Using Federated Learning

no code implementations • 14 May 2023 • Yumeki Goto, Tomoya Matsumoto, Hamada Rizk, Naoto Yanai, Hirozumi Yamaguchi

Taxi-demand prediction is an important application of machine learning that enables taxi-providing facilities to optimize their operations and city planners to improve transportation infrastructure and services.

Federated Learning Privacy Preserving

Do Backdoors Assist Membership Inference Attacks?

no code implementations • 22 Mar 2023 • Yumeki Goto, Nami Ashizawa, Toshiki Shibahara, Naoto Yanai

When an adversary provides poison samples to a machine learning model, privacy leakage, such as membership inference attacks that infer whether a sample was included in the training of the model, becomes effective by moving the sample to an outlier.

Inference Attack Membership Inference Attack