Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs
Authors: Chen Chen, Xuanli He, Lingjuan Lyu, Fangzhao Wu | Published: 2021-05-23 | Updated: 2021-12-26
Privacy Protection Method
Privacy Amplification Via Bernoulli Sampling
Authors: Jacob Imola, Kamalika Chaudhuri | Published: 2021-05-21 | Updated: 2021-10-18
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
Authors: Xiaolin Chen, Shuai Zhou, Bei guan, Kai Yang, Hao Fan, Hu Wang, Yongji Wang | Published: 2021-05-20 | Updated: 2021-12-08
Revisiting Secure Computation Using Functional Encryption: Opportunities and Research Directions
Authors: Runhua Xu, James Joshi | Published: 2020-11-12 | Updated: 2020-12-07
Federated Transfer Learning: concept and applications
Authors: Sudipan Saha, Tahir Ahmad | Published: 2020-09-26 | Updated: 2021-03-06
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Authors: Chandra Thapa, Seyit Camtepe | Published: 2020-08-24
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
Authors: Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan | Published: 2020-08-11
PrivEdge: From Local to Distributed Private Training and Prediction
Authors: Ali Shahin Shamsabadi, Adria Gascon, Hamed Haddadi, Andrea Cavallaro | Published: 2020-04-12
PrivFL: Practical Privacy-preserving Federated Regressions on High-dimensional Data over Mobile Networks
Authors: Kalikinkar Mandal, Guang Gong | Published: 2020-04-05
Information Leakage in Embedding Models
Authors: Congzheng Song, Ananth Raghunathan | Published: 2020-03-31 | Updated: 2020-08-19