Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation.
Sunpreet S. AroraAndrew BeamsPanagiotis ChatzigiannisSebastian MeiserKaran PatelSrinivasan RaghuramanPeter RindalHarshal ShahYizhen WangYuhang WuHao YangMahdi ZamaniPublished in: CoRR (2023)
Keyphrases
- privacy preserving
- multi party
- anomaly detection
- privacy preserving data mining
- intrusion detection
- privacy preservation
- connectionist systems
- vertically partitioned data
- partitioned data
- privacy preserving distributed data mining
- unsupervised learning
- privacy concerns
- learning algorithm
- private information
- network traffic
- detecting anomalies
- supervised learning
- secure multiparty computation
- data sets
- privacy protection
- differential privacy
- anomalous behavior
- intrusion detection system
- scalar product
- feature extraction