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Aleksei Triastcyn
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2020 – today
- 2024
- [j3]Sankarshan Damle, Aleksei Triastcyn, Boi Faltings, Sujit Gujar:
Differentially private multi-agent constraint optimization. Auton. Agents Multi Agent Syst. 38(1): 8 (2024) - 2022
- [j2]Aleksei Triastcyn, Boi Faltings:
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees. Algorithms 15(7): 232 (2022) - [c5]Panayiotis Danassis, Aleksei Triastcyn, Boi Faltings:
A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings. AAMAS 2022: 327-335 - 2021
- [c4]Sankarshan Damle, Aleksei Triastcyn, Boi Faltings, Sujit Gujar:
Differentially Private Multi-Agent Constraint Optimization. WI/IAT 2021: 422-429 - [i8]Mohammad Samragh, Hossein Hosseini, Aleksei Triastcyn, Kambiz Azarian, Joseph Soriaga, Farinaz Koushanfar:
Unsupervised Information Obfuscation for Split Inference of Neural Networks. CoRR abs/2104.11413 (2021) - [i7]Aleksei Triastcyn, Matthias Reisser, Christos Louizos:
DP-REC: Private & Communication-Efficient Federated Learning. CoRR abs/2111.05454 (2021) - 2020
- [b1]Aleksei Triastcyn:
Data-Aware Privacy-Preserving Machine Learning. EPFL, Switzerland, 2020 - [j1]Aleksei Triastcyn, Boi Faltings:
Federated Generative Privacy. IEEE Intell. Syst. 35(4): 50-57 (2020) - [c3]Aleksei Triastcyn, Boi Faltings:
Bayesian Differential Privacy for Machine Learning. ICML 2020: 9583-9592 - [i6]Aleksei Triastcyn, Boi Faltings:
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees. CoRR abs/2003.00997 (2020) - [i5]Panayiotis Danassis, Aleksei Triastcyn, Boi Faltings:
Differential Privacy Meets Maximum-weight Matching. CoRR abs/2011.07934 (2020)
2010 – 2019
- 2019
- [c2]Aleksei Triastcyn, Boi Faltings:
Federated Learning with Bayesian Differential Privacy. IEEE BigData 2019: 2587-2596 - [i4]Aleksei Triastcyn, Boi Faltings:
Improved Accounting for Differentially Private Learning. CoRR abs/1901.09697 (2019) - [i3]Aleksei Triastcyn, Boi Faltings:
Federated Generative Privacy. CoRR abs/1910.08385 (2019) - [i2]Aleksei Triastcyn, Boi Faltings:
Federated Learning with Bayesian Differential Privacy. CoRR abs/1911.10071 (2019) - 2018
- [i1]Aleksei Triastcyn, Boi Faltings:
Generating Differentially Private Datasets Using GANs. CoRR abs/1803.03148 (2018) - 2012
- [c1]Pavel Korshunov, Aleksei Triastcyn, Touradj Ebrahimi:
MediaEval 2012 Visual Privacy Task: Applying Transform-domain Scrambling to Automatically Detected Faces. MediaEval 2012
Coauthor Index
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