Blind Faith: Privacy-Preserving Machine Learning using Function Approximation
Authors: Tanveer Khan, Alexandros Bakas, Antonis Michalas | Published: 2021-07-29
Model Design
Leveraging Sharing Communities to Achieve Federated Learning for Cybersecurity
Authors: Frank W. Bentrem, Michael A. Corsello, Joshua J. Palm | Published: 2021-04-23 | Updated: 2021-04-27
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Authors: Sijun Tan, Brian Knott, Yuan Tian, David J. Wu | Published: 2021-04-22
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities
Authors: Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila | Published: 2021-04-22
Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks
Authors: Simon Mandlik, Tomas Pevny | Published: 2021-04-19 | Updated: 2022-06-08
Vectorized Secure Evaluation of Decision Forests
Authors: Raghav Malik, Vidush Singhal, Benjamin Gottfried, Milind Kulkarni | Published: 2021-04-19
Orthogonalizing Convolutional Layers with the Cayley Transform
Authors: Asher Trockman, J. Zico Kolter | Published: 2021-04-14
Plinius: Secure and Persistent Machine Learning Model Training
Authors: Peterson Yuhala, Pascal Felber, Valerio Schiavoni, Alain Tchana | Published: 2021-04-07 | Updated: 2021-04-08
Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker
Authors: Nicholas Roberts, Vinay Uday Prabhu, Matthew McAteer | Published: 2019-12-19
Adversarial Model Extraction on Graph Neural Networks
Authors: David DeFazio, Arti Ramesh | Published: 2019-12-16