Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models
Authors: Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos | Published: 2019-05-29 | Updated: 2021-02-17
Membership Inference
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
Authors: Liwei Song, Reza Shokri, Prateek Mittal | Published: 2019-05-24 | Updated: 2019-08-25
A framework for the extraction of Deep Neural Networks by leveraging public data
Authors: Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish Shevade, Vinod Ganapathy | Published: 2019-05-22
Evaluating Differentially Private Machine Learning in Practice
Authors: Bargav Jayaraman, David Evans | Published: 2019-02-24 | Updated: 2019-08-12
Applications of Machine Learning in Cryptography: A Survey
Authors: Mohammed M. Alani | Published: 2019-02-11
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions
Authors: Shaohua Li, Kaiping Xue, Chenkai Ding, Xindi Gao, David S L Wei, Tao Wan, Feng Wu | Published: 2018-11-20
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls
Authors: Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li | Published: 2018-11-05
Auditing Data Provenance in Text-Generation Models
Authors: Congzheng Song, Vitaly Shmatikov | Published: 2018-11-01 | Updated: 2019-05-17
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
Authors: Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Max Augustin, Michael Backes, Mario Fritz | Published: 2018-08-01 | Updated: 2019-02-06
Machine Learning with Membership Privacy using Adversarial Regularization
Authors: Milad Nasr, Reza Shokri, Amir Houmansadr | Published: 2018-07-16