Preservation of Anomalous Subgroups On Machine Learning Transformed Data
Authors: Samuel C. Maina, Reginald E. Bryant, William O. Goal, Robert-Florian Samoilescu, Kush R. Varshney, Komminist Weldemariam | Published: 2019-11-09
Privacy Assessment
Certified Data Removal from Machine Learning Models
Authors: Chuan Guo, Tom Goldstein, Awni Hannun, Laurens van der Maaten | Published: 2019-11-08 | Updated: 2023-11-08
Federated Generative Privacy
Authors: Aleksei Triastcyn, Boi Faltings | Published: 2019-10-18
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Authors: Ilya Mironov, Kunal Talwar, Li Zhang | Published: 2019-08-28
AdaCliP: Adaptive Clipping for Private SGD
Authors: Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar | Published: 2019-08-20 | Updated: 2019-10-23
Disparate Vulnerability to Membership Inference Attacks
Authors: Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso | Published: 2019-06-02 | Updated: 2021-09-16
Shredder: Learning Noise Distributions to Protect Inference Privacy
Authors: Fatemehsadat Mireshghallah, Mohammadkazem Taram, Prakash Ramrakhyani, Dean Tullsen, Hadi Esmaeilzadeh | Published: 2019-05-26 | Updated: 2020-10-27
Subsampled Rényi Differential Privacy and Analytical Moments Accountant
Authors: Yu-Xiang Wang, Borja Balle, Shiva Kasiviswanathan | Published: 2018-07-31 | Updated: 2018-12-04
2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem
Authors: Qiang Zhu, Xixiang Lv | Published: 2018-07-23
Machine Learning with Membership Privacy using Adversarial Regularization
Authors: Milad Nasr, Reza Shokri, Amir Houmansadr | Published: 2018-07-16