Privacy Leakage Avoidance with Switching Ensembles
Authors: Rauf Izmailov, Peter Lin, Chris Mesterharm, Samyadeep Basu | Published: 2019-11-18
Membership Inference
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection
Authors: Anuj Dubey, Rosario Cammarota, Aydin Aysu | Published: 2019-10-29 | Updated: 2019-12-02
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Authors: Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake | Published: 2019-10-20
Sequence embeddings help to identify fraudulent cases in healthcare insurance
Authors: I. Fursov, A. Zaytsev, R. Khasyanov, M. Spindler, E. Burnaev | Published: 2019-10-07
Piracy Resistant Watermarks for Deep Neural Networks
Authors: Huiying Li, Emily Wenger, Shawn Shan, Ben Y. Zhao, Haitao Zheng | Published: 2019-10-02 | Updated: 2020-12-02
Alleviating Privacy Attacks via Causal Learning
Authors: Shruti Tople, Amit Sharma, Aditya Nori | Published: 2019-09-27 | Updated: 2020-07-17
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges
Authors: Jinyuan Jia, Neil Zhenqiang Gong | Published: 2019-09-17 | Updated: 2019-09-19
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models
Authors: Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz | Published: 2019-09-09 | Updated: 2020-11-23
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
Authors: Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier, Cordelia Schmid, Hervé Jégou | Published: 2019-08-29
On Inferring Training Data Attributes in Machine Learning Models
Authors: Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kaafar | Published: 2019-08-28 | Updated: 2019-10-12