Local Differential Privacy for Deep Learning
Authors: M. A. P. Chamikara, P. Bertok, I. Khalil, D. Liu, S. Camtepe, M. Atiquzzaman | Published: 2019-08-08 | Updated: 2019-11-09
Privacy Enhancing Technology
Optimal Attacks on Reinforcement Learning Policies
Authors: Alessio Russo, Alexandre Proutiere | Published: 2019-07-31
Making AI Forget You: Data Deletion in Machine Learning
Authors: Antonio Ginart, Melody Y. Guan, Gregory Valiant, James Zou | Published: 2019-07-11 | Updated: 2019-11-04
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
Private Hierarchical Clustering and Efficient Approximation
Authors: Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea, Nikos Triandopoulos | Published: 2019-04-09 | Updated: 2021-10-01
Privacy-preserving Machine Learning through Data Obfuscation
Authors: Tianwei Zhang, Zecheng He, Ruby B. Lee | Published: 2018-07-05 | Updated: 2018-07-13
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Authors: Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin | Published: 2018-07-02 | Updated: 2019-10-26
Privacy Preserving Machine Learning: Threats and Solutions
Authors: Mohammad Al-Rubaie, J. Morris Chang | Published: 2018-03-27
Homomorphic Encryption for Speaker Recognition: Protection of Biometric Templates and Vendor Model Parameters
Authors: Andreas Nautsch, Sergey Isadskiy, Jascha Kolberg, Marta Gomez-Barrero, Christoph Busch | Published: 2018-03-09
Key Management and Learning based Two Level Data Security for Metering Infrastructure of Smart Grid
Authors: Imtiaz Parvez, Maryamossadat Aghili, Arif Sarwat | Published: 2017-09-25