MediaEval 2012 Visual Privacy Task: Applying Transform-domain Scrambling to Automatically Detected Faces. - Pavel Korshunov; Aleksei Triastcyn; Touradj Ebrahimi (MediaEval, 2012)

Generating Differentially Private Datasets Using GANs. - Aleksei Triastcyn; Boi Faltings (CoRR, 2018)

Federated Learning with Bayesian Differential Privacy. - Aleksei Triastcyn; Boi Faltings (IEEE BigData, 2019)

Improved Accounting for Differentially Private Learning. - Aleksei Triastcyn; Boi Faltings (CoRR, 2019)

Bayesian Differential Privacy for Machine Learning. - Aleksei Triastcyn; Boi Faltings (ICML, 2020)

Differential Privacy Meets Maximum-weight Matching. - Panayiotis Danassis; Aleksei Triastcyn; Boi Faltings (CoRR, 2020)

Federated Generative Privacy. - Aleksei Triastcyn; Boi Faltings (IEEE Intell. Syst., 2020)

Data-Aware Privacy-Preserving Machine Learning. - Aleksei Triastcyn (2020)

Unsupervised Information Obfuscation for Split Inference of Neural Networks. - Mohammad Samragh; Hossein Hosseini; Aleksei Triastcyn; Kambiz Azarian; Joseph Soriaga; Farinaz Koushanfar (CoRR, 2021)

DP-REC: Private & Communication-Efficient Federated Learning. - Aleksei Triastcyn; Matthias Reisser; Christos Louizos (CoRR, 2021)

A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings. - Panayiotis Danassis; Aleksei Triastcyn; Boi Faltings (AAMAS, 2022)

Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees. - Aleksei Triastcyn; Boi Faltings (Algorithms, 2022)

Differentially private multi-agent constraint optimization. - Sankarshan Damle; Aleksei Triastcyn; Boi Faltings; Sujit Gujar (Auton. Agents Multi Agent Syst., 2024)