Balazs Pejo

Ivan Pryvalov

Proc. Priv. Enhancing Technol., January, 2024

MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

Effective Anonymous Messaging: The Role of Altruism.

[BibT_eX]

[DOI]

Marcell Frank

Proceedings of the Decision and Game Theory for Security - 15th International Conference, 2024

SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Quality Inference in Federated Learning With Secure Aggregation.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, October, 2023

SQLi Detection with ML: A Data-Source Perspective.

[BibT_eX]

[DOI]

Nikolett Kapui

Proceedings of the 20th International Conference on Security and Cryptography, 2023

Industry-Scale Orchestrated Federated Learning for Drug Discovery.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Guide to Differential Privacy Modifications - A Taxonomy of Variants and Extensions

[BibT_eX]

[DOI]

Damien Desfontaines

Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-96397-2, 2022

Games in the Time of COVID-19: Promoting Mechanism Design for Pandemic Response.

[BibT_eX]

[DOI]

ACM Trans. Spatial Algorithms Syst., 2022

Collaborative Drug Discovery: Inference-level Data Protection Perspective.

[BibT_eX]

[DOI]

Trans. Data Priv., 2022

Industry-Scale Orchestrated Federated Learning for Drug Discovery.

[BibT_eX]

[DOI]

CoRR, 2022

2021

The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees?

[BibT_eX]

[DOI]

István András Seres

Péter Burcsi

IACR Cryptol. ePrint Arch., 2021

Measuring Contributions in Privacy-Preserving Federated Learning.

[BibT_eX]

[DOI]

Gergely Ács

ERCIM News, 2021

Revenue Attribution on iOS 14 using Conversion Values in F2P Games.

[BibT_eX]

[DOI]

Frederick Ayala-Gómez

CoRR, 2021

Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity.

[BibT_eX]

[DOI]

Mathias P. M. Parisot

Dayana Spagnuelo

Proceedings of the 18th International Conference on Security and Cryptography, 2021

2020

SoK: Differential privacies.

[BibT_eX]

[DOI]

Damien Desfontaines

Proc. Priv. Enhancing Technol., 2020

The Good, The Bad, and The Ugly: Quality Inference in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Corona Games: Masks, Social Distance and Mechanism Design.

[BibT_eX]

[DOI]

CoRR, 2020

Corona Games: Masks, Social Distancing and Mechanism Design.

[BibT_eX]

[DOI]

Proceedings of the COVID-19: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, 2020

2019

Together or Alone: The Price of Privacy in Collaborative Learning.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2019

2018

The Price of Privacy in Collaborative Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

Together or Alone: The Price of Privacy in Joint Learning.

[BibT_eX]

[DOI]

Afonso Arriaga

CoRR, 2017

To Cheat or Not to Cheat: A Game-Theoretic Analysis of Outsourced Computation Verification.

[BibT_eX]

[DOI]

Proceedings of the Fifth ACM International Workshop on Security in Cloud Computing, 2017

2016

Protect both Integrity and Confidentiality in Outsourcing Collaborative Filtering Computations.

[BibT_eX]

[DOI]

Husen Wang

IACR Cryptol. ePrint Arch., 2016

Game-Theoretic Framework for Integrity Veri cation in Computation Outsourcing.

[BibT_eX]

[DOI]