TheServerSide

False positives vs false negatives in machine learning

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between a false positive and a false negative is that a false positive ...
Nature

False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions

As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among ...
Dark Reading

False Training Information Can Dupe Machine Learning Models

Researchers from Boston University have recently shown how really small amounts of disinformation can taint the learning process that is used by many "AI" programs. Panagiota Kiourti, Kacper Wardega, ...