ExMo: Explainable AI Model using Inverse Frequency Decision Rules

no code implementations • 20 May 2022 • Pradip Mainali, Ismini Psychoula, Fabien A. P. Petitcolas

The ExMo interpretable machine learning model consists of a list of IF... THEN... statements with a decision rule in the condition.

Fraud Detection Interpretable Machine Learning

Explainable Machine Learning for Fraud Detection

no code implementations • 13 May 2021 • Ismini Psychoula, Andreas Gutmann, Pradip Mainali, S. H. Lee, Paul Dunphy, Fabien A. P. Petitcolas

The application of machine learning to support the processing of large datasets holds promise in many industries, including financial services.

BIG-bench Machine Learning Fraud Detection

PINFER: Privacy-Preserving Inference for Machine Learning

no code implementations • 4 Oct 2019 • Marc Joye, Fabien A. P. Petitcolas

The foreseen growing role of outsourced machine learning services is raising concerns about the privacy of user data.

BIG-bench Machine Learning General Classification +2

Privacy-Enhancing Context Authentication from Location-Sensitive Data

no code implementations • 18 Apr 2019 • Pradip Mainali, Carlton Shepherd, Fabien A. P. Petitcolas

This paper proposes a new privacy-enhancing, context-aware user authentication system, ConSec, which uses a transformation of general location-sensitive data, such as GPS location, barometric altitude and noise levels, collected from the user's device, into a representation based on locality-sensitive hashing (LSH).

Dimensionality Reduction