Semi-supervised learning and graph neural networks for fake news detection. - Adrien Benamira; Benjamin Devillers; Etienne Lesot; Ayush K. Ray; Manal Saadi; Fragkiskos D. Malliaros (ASONAM, 2019)

NeuroGIFT: Using a Machine Learning Based Sat Solver for Cryptanalysis. - Ling Sun 001; David Gérault; Adrien Benamira; Thomas Peyrin (CSCML, 2020)

A Deeper Look at Machine Learning-Based Cryptanalysis. - Adrien Benamira; David Gérault; Thomas Peyrin; Quan Quan Tan (IACR Cryptol. ePrint Arch., 2021)

Truth-Table Net: A New Convolutional Architecture Encodable by Design into SAT Formulas. - Adrien Benamira; Thomas Peyrin; Bryan Hooi Kuen-Yew (ECCV Workshops (1), 2022)

Neural Network-Based Rule Models with Truth Tables. - Adrien Benamira; Tristan Guérand; Thomas Peyrin; Hans Soegeng (ECAI, 2023)

TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture. - Adrien Benamira; Tristan Guérand; Thomas Peyrin; Sayandeep Saha (CoRR, 2023)

A New Interpretable Neural Network-Based Rule Model for Healthcare Decision Making. - Adrien Benamira; Tristan Guérand; Thomas Peyrin (CoRR, 2023)

Peek into the Black-Box: Interpretable Neural Network using SAT Equations in Side-Channel Analysis. - Trevor Yap; Adrien Benamira; Shivam Bhasin; Thomas Peyrin (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2023)

Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form. - Adrien Benamira; Thomas Peyrin; Trevor Yap; Tristan Guérand; Bryan Hooi (IJCAI, 2024)