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
Data Protection Method
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Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms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
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations
Authors: Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang | Published: 2020-05-23 | Updated: 2020-08-25
A Deep Learning Based Attack for The Chaos-based Image Encryption
Authors: Chen He, Kan Ming, Yongwei Wang, Z. Jane Wang | Published: 2019-07-29
Privacy-Enhancing Context Authentication from Location-Sensitive Data
Authors: Pradip Mainali, Carlton Shepherd, Fabien A. P. Petitcolas | Published: 2019-04-18 | Updated: 2019-07-10
CryptoNN: Training Neural Networks over Encrypted Data
Authors: Runhua Xu, James B. D. Joshi, Chao Li | Published: 2019-04-15 | Updated: 2019-04-26
TG-PSM: Tunable Greedy Packet Sequence Morphing Based on Trace Clustering
Authors: Farzam Fanitabasi | Published: 2019-04-01
Private Machine Learning in TensorFlow using Secure Computation
Authors: Morten Dahl, Jason Mancuso, Yann Dupis, Ben Decoste, Morgan Giraud, Ian Livingstone, Justin Patriquin, Gavin Uhma | Published: 2018-10-18 | Updated: 2018-10-23
IDMoB: IoT Data Marketplace on Blockchain
Authors: Kazım Rıfat Özyılmaz, Mehmet Doğan, Arda Yurdakul | Published: 2018-09-30