Computing Neural Networks with Homomorphic Encryption and Verifiable Computing. - Abbass Madi; Renaud Sirdey; Oana Stan (ACNS Workshops, 2020)

SecTL: Secure and Verifiable Transfer Learning-based inference. - Abbass Madi; Oana Stan; Renaud Sirdey; Cédric Gouy-Pailler (ICISSP, 2022)

Secure Machine Learning by means of Homomorphic Encryption and Verifiable Computing. (Apprentissage machine sécurisé à l'aide de chiffrement homomorphe et de calcul vérifiable). - Abbass Madi (2022)