Beyond Slow Signs in High-fidelity Model Extraction

Hanna Foerster, Robert Mullins, Ilia Shumailov +1

Deep neural networks, costly to train and rich in intellectual property value, are increasingly threatened by model extraction attacks that compromise their confidentiality. Previo…