Attesting Distributional Properties of Training Data for Machine Learning by Vasisht Duddu, Anudeep Das, Nora Khayata, Hossein Yalame, Thomas Schneider, and N. Asokan was accepted at the top conference 29th European Symposium on Research in Computer Security (ESORICS) 2024.

This paper is a collaboration with Vasisht Duddu, Anudeep Das, and N. Asokan from the University of Waterloo.

It proposes the notion of property attestation using Machine Learning, cryptographic techniques, and a mix of both to demonstrate relevant distributional properties of training data in conjunction with the trained model without revealing the data.