This is a paper list of related papers about Machine Learning as a Service (MLaaS)
PART I: Secure neural network inference
GAZELLE: A Low Latency Framework for Secure Neural Network Inference (USENIX SECURITY 2018)
Chameleon: A hybrid secure computation framework for machine learning applications (Asia CCS 2018)
Privacy-preserving machine learning through data obfuscation (archiv 2018)
Deepsecure: Scalable provably-secure deep learning (DAC 2018)
Oblivious neural network predictions via minionn transformations (CCS 2017)
Secureml: A system for scalable privacy-preserving machine learning (SP 2017)
Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy (ICML 2016)
PART II: Network Integrity in Cloud-Based ML
VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting (archive 2018)
Safetynets: Verifiable execution of deep neural networks on an untrusted cloud (NIPS 2017)
Trojaning Attack on Neural Networks (NDSS 2017)