One Parameter Defense — Defending against Data Inference Attacks via Differential Privacy
Authors: Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou | Published: 2022-03-13
Privacy Enhancing Technology
Differentially Private Label Protection in Split Learning
Authors: Xin Yang, Jiankai Sun, Yuanshun Yao, Junyuan Xie, Chong Wang | Published: 2022-03-04
Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms
Authors: Haemin Lee, Joongheon Kim | Published: 2021-07-19
Longitudinal Compliance Analysis of Android Applications with Privacy Policies
Authors: Saad Sajid Hashmi, Nazar Waheed, Gioacchino Tangari, Muhammad Ikram, Stephen Smith | Published: 2021-06-18 | Updated: 2021-07-28
Optimal Accounting of Differential Privacy via Characteristic Function
Authors: Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang | Published: 2021-06-16 | Updated: 2022-05-31
AI-enabled Automation for Completeness Checking of Privacy Policies
Authors: Orlando Amaral, Sallam Abualhaija, Damiano Torre, Mehrdad Sabetzadeh, Lionel C. Briand | Published: 2021-06-10 | Updated: 2021-10-05
Adaptive Machine Unlearning
Authors: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites | Published: 2021-06-08
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI
Authors: Mohit Kumar, Bernhard A. Moser, Lukas Fischer, Bernhard Freudenthaler | Published: 2021-06-06 | Updated: 2022-04-12
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
Authors: Swanand Kadhe, Nived Rajaraman, O. Ozan Koyluoglu, Kannan Ramchandran | Published: 2020-09-23
FLAME: Differentially Private Federated Learning in the Shuffle Model
Authors: Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa | Published: 2020-09-17 | Updated: 2021-03-20