Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Authors: Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake | Published: 2019-10-20
Membership Inference
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
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Authors: Bingzhe Wu, Shiwan Zhao, ChaoChao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou | Published: 2019-08-21 | Updated: 2019-09-25
On the Privacy Risks of Model Explanations
Authors: Reza Shokri, Martin Strobel, Yair Zick | Published: 2019-06-29 | Updated: 2021-02-05