Evaluating Differentially Private Machine Learning in Practice
Authors: Bargav Jayaraman, David Evans | Published: 2019-02-24 | Updated: 2019-08-12
Membership Inference
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
Algorithms that Remember: Model Inversion Attacks and Data Protection Law
Authors: Michael Veale, Reuben Binns, Lilian Edwards | Published: 2018-07-12 | Updated: 2018-10-15
Towards Demystifying Membership Inference Attacks
Authors: Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei | Published: 2018-06-28 | Updated: 2019-02-01
Killing four birds with one Gaussian process: the relation between different test-time attacks
Authors: Kathrin Grosse, Michael T. Smith, Michael Backes | Published: 2018-06-06 | Updated: 2020-11-29