Towards Practical Secure Neural Network Inference: The Journey So Far and the Road Ahead

Knowledge Distillation: A Survey

(2021) Jianping Gou et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Privacy-Preserving Deep Learning Based on Multiparty Secure Computation: A Survey

(2021) Qiao Zhang et al.   IEEE Internet of Things Journal

Model Protection: Real-Time Privacy-Preserving Inference Service for Model Privacy at the Edge

(2021) Jiahui Hou et al.   IEEE Transactions on Dependable and Secure Computing

PrivGRU: Privacy-preserving GRU inference using additive secret sharing

(2020) Shou-Ching Hsiao et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics

(2020) Seyed Ali Osia et al.   IEEE Internet of Things Journal

TFHE: Fast Fully Homomorphic Encryption Over the Torus

(2019) Ilaria Chillotti et al.   JOURNAL OF CRYPTOLOGY

A review of privacy-preserving techniques for deep learning

(2019) Amine Boulemtafes et al.   NEUROCOMPUTING

A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View

(2018) Qiang Liu et al.   IEEE Access

More Efficient Oblivious Transfer Extensions

(2016) Gilad Asharov et al.   JOURNAL OF CRYPTOLOGY

A taxonomy for privacy enhancing technologies

(2015) Johannes Heurix et al.   COMPUTERS & SECURITY

The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

(2012) Li Deng   IEEE SIGNAL PROCESSING MAGAZINE

Parsing Noun Phrases in the Penn Treebank

(2011) David Vadas et al.   COMPUTATIONAL LINGUISTICS