Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation

Authors: Arora, Sunpreet, Beams, Andrew, Chatzigiannis, Panagiotis, Meiser, Sebastian, Patel, Karan, Raghuraman, Srinivasan, Rindal, Peter, Shah, Harshal, Wang, Yizhen, Wu, Yuhang, Yang, Hao, Zamani, Mahdi

Source: 2024 Annual Computer Security Applications Conference Workshops (ACSAC Workshops) ACSACW Computer Security Applications Conference Workshops (ACSAC Workshops), 2024 Annual. :270-279 Dec, 2024

Relation: 2024 Annual Computer Security Applications Conference Workshops (ACSAC Workshops)

Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation

Authors: Arora, Sunpreet, Beams, Andrew, Chatzigiannis, Panagiotis, Meiser, Sebastian, Patel, Karan, Raghuraman, Srinivasan, Rindal, Peter, Shah, Harshal, Wang, Yizhen, Wu, Yuhang, Yang, Hao, Zamani, Mahdi

Subject Terms: Computer Science - Cryptography and Security

Access URL: http://arxiv.org/abs/2310.04546