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Unsupervised Information Obfuscation for Split Inference of Neural Networks


Apr 23, 2021
Mohammad Samragh, Hossein Hosseini, Aleksei Triastcyn, Kambiz Azarian, Joseph Soriaga, Farinaz Koushanfar


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Differential Privacy Meets Maximum-weight Matching


Nov 16, 2020
Panayiotis Danassis, Aleksei Triastcyn, Boi Faltings


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Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees


Mar 02, 2020
Aleksei Triastcyn, Boi Faltings

* 7 pages, 4 figures, 1 table 

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Federated Learning with Bayesian Differential Privacy


Nov 22, 2019
Aleksei Triastcyn, Boi Faltings

* Accepted at 2019 IEEE International Conference on Big Data (IEEE Big Data 2019). 10 pages, 2 figures, 4 tables 

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Federated Generative Privacy


Oct 18, 2019
Aleksei Triastcyn, Boi Faltings

* IJCAI Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FL-IJCAI 2019). 7 pages, 2 figures, 3 tables 

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Improved Accounting for Differentially Private Learning


Jan 28, 2019
Aleksei Triastcyn, Boi Faltings

* 8 pages without references, 5 figures, 1 table 

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Generating Artificial Data for Private Deep Learning


Jun 07, 2018
Aleksei Triastcyn, Boi Faltings

* Corrected privacy analysis, extended evaluation 

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