Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks
Authors: Marco Schreyer, Chistian Schulze, Damian Borth | Published: 2020-12-13
Data Protection Method
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections
Authors: Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin | Published: 2020-12-11
Privacy-preserving medical image analysis
Authors: Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Da Lima Costa Junior, Jason Mancuso, Marcus Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis | Published: 2020-12-10
Research Challenges in Designing Differentially Private Text Generation Mechanisms
Authors: Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier | Published: 2020-12-10
Risk Management Framework for Machine Learning Security
Authors: Jakub Breier, Adrian Baldwin, Helen Balinsky, Yang Liu | Published: 2020-12-09
Image Obfuscation for Privacy-Preserving Machine Learning
Authors: Mathilde Raynal, Radhakrishna Achanta, Mathias Humbert | Published: 2020-10-20
Correlated Differential Privacy: Feature Selection in Machine Learning
Authors: Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou | Published: 2020-10-07
PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning
Authors: Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang | Published: 2020-10-06
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks
Authors: Hanieh Hashemi, Yongqin Wang, Murali Annavaram | Published: 2020-06-01 | Updated: 2020-10-15
Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms
Authors: Mohsen Minaei, S Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate | Published: 2020-05-28