Research

Check out the latest findings from Cape Privacy's team of cryptography, engineering, and privacy experts.

All Publications

  • Rabbit: Efficient Comparison for Secure Multi-Party Computation

    ·Eleftheria Makri, Dragos Rotaru, Frederik Vercauteren, Sameer Wagh

    Read Paper

  • End-to-end privacy preserving deep learning on multi-institutional medical imaging

    ·Georgios Kaissis, Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Lima, Jason Mancuso, Friederike Jungmann, Marc-Matthias Steinborn, Andreas Saleh, Marcus Makowski, Daniel Rueckert, Rickmer Braren

    Read Paper

  • Maliciously Secure Matrix Multiplication with Applications to Private Deep Learning

    ·Hao Chen, Miran Kim, Ilya Razenshteyn, Dragos Rotaru, Yongsoo Song, Sameer Wagh

    Read Paper

  • Co6GC: How to choose your MPC Framework

    ·Dragos Rotaru

    Read Paper

  • Privacy-preserving medical image analysis

    ·Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Da Lima Costa Junior, Jason Mancuso, Marcus Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis

    Read Paper

  • Building Secure Aggregation into TensorFlow Federated

    ·Jason Mancuso

    Read Paper

  • Privacy-preserving collaborative machine learning on genomic data using TensorFlow

    ·C Hong, Z Huang, W Lu, H Qu, L Ma, M Dahl, J Mancuso

    Read Paper

  • MArBled Circuits: Mixing Arithmetic and Boolean Circuits with Active Security

    ·Dragos Rotaru, Tim Wood

    Read Paper

  • Zaphod: Efficiently Combining LSSS and Garbled Circuits in SCALE

    ·Abdelrahaman Aly, Emmanuela Orsini, Dragos Rotaru, Nigel P Smart, Tim Wood

    Read Paper

  • EPIC: efficient private image classification (or: learning from the masters)

    ·Eleftheria Makri, Dragos Rotaru, Nigel P Smart, Frederik Vercauteren

    Read Paper

  • Detecting Spiky Corruption in Markov Decision Processes

    ·Jason Mancuso, Tomasz Kisielewski, David Lindner, Alok Singh

    Read Paper

  • Private machine learning in tensorflow using secure computation

    ·Morten Dahl, Jason Mancuso, Yann Dupis, Ben DeCoste, Morgan Giraud, Ian Livingstone, Justin Patriquin, Gavin Uhma

    Read Paper

  • A generic framework for privacy preserving deep learning

    ·Theo Ryffel, Andrew Trask, Morten Dahl, Bobby Wagner, Jason Mancuso, Daniel Rueckert, Jonathan Passerat-Palmbach

    Read Paper

  • Application of Machine Learning Algorithms for Identification of Contaminated Blood Samples: Accuracy and Validity Examination.

    ·Jason V Mancuso, Peter Short, Edumnds Reineks, Elena A Manilich

    Read Paper