Towards Understanding and Enhancing Security of Proof-of-Training for DNN Model Ownership Verification

Yijia Chang, Hanrui Jiang, Chao Lin +2

The great economic values of deep neural networks (DNNs) urge AI enterprises to protect their intellectual property (IP) for these models. Recently, proof-of-training (PoT) has bee…