ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation

By Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame. IACR Cryptology ePrint Archive, 2020

319 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d45f5a29d8cea8a3d8fa1fefc6adaf05df34f0d9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Cheng Hong
2. Wen-jie Lu
3. Zhicong Huang
4. Jiansheng Ding

Citations in the corpus

• Cheetah: Lean and Fast Secure Two-Party Deep Neural Network Inference (2022, background): “Cheetah contributes a set of novel cryptographic protocols for the most common linear operations and non-linear operations of DNNs. Cheetah can perform secure inference on large models, e.g. ResNet, and DenseNet [28], with significantly smaller computation and communication overheads than the state-o”