Chengfang Fang

Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation

2020 · IEEE Transactions on Dependable and Secure Computing

Machine learning service API allows model owners to monetize proprietary models by offering prediction services to third-party users. However, existing literature shows that model parameters are vulnerable to extraction attacks which accumulate prediction queries and …