Gergely Ács

Proceedings of the 10th International Conference on Information Systems Security and Privacy, 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

Privacy pitfalls of releasing in-vehicle network data.

[BibT_eX]

[DOI]

Veh. Commun., February, 2023

Client-specific Property Inference against Secure Aggregation in Federated Learning.

[BibT_eX]

[DOI]

Raouf Kerkouche

Mario Fritz

Proceedings of the 22nd Workshop on Privacy in the Electronic Society, 2023

Industry-Scale Orchestrated Federated Learning for Drug Discovery.

[BibT_eX]

[DOI]

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

2022

Collaborative Drug Discovery: Inference-level Data Protection Perspective.

[BibT_eX]

[DOI]

Trans. Data Priv., 2022

In Search of Lost Utility: Private Location Data.

[BibT_eX]

[DOI]

Szilvia Lestyán

Proc. Priv. Enhancing Technol., 2022

Industry-Scale Orchestrated Federated Learning for Drug Discovery.

[BibT_eX]

[DOI]

CoRR, 2022

SIMBIoTA-ML: Light-weight, Machine Learning-based Malware Detection for Embedded IoT Devices.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Internet of Things, 2022

2021

Measuring Contributions in Privacy-Preserving Federated Learning.

[BibT_eX]

[DOI]

Balázs Pejó

ERCIM News, 2021

Constrained differentially private federated learning for low-bandwidth devices.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Compression Boosts Differentially Private Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE European Symposium on Security and Privacy, 2021

Privacy-preserving and bandwidth-efficient federated learning: an application to in-hospital mortality prediction.

[BibT_eX]

[DOI]

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

Federated Learning in Adversarial Settings.

[BibT_eX]

[DOI]

Raouf Kerkouche

CoRR, 2020

Privacy-preserving release of mobility data: a clean-slate approach.

[BibT_eX]

[DOI]

Szilvia Lestyán

CoRR, 2020

2019

Differentially Private Mixture of Generative Neural Networks.

[BibT_eX]

[DOI]

Luca Melis

Emiliano De Cristofaro

IEEE Trans. Knowl. Data Eng., 2019

Privacy-Aware Caching in Information-Centric Networking.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2019

Differential Inference Testing: A Practical Approach to Evaluate Sanitizations of Datasets.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Security and Privacy Workshops, 2019

Automatic Driver Identification from In-Vehicle Network Logs.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identification.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019

2018

Privacy-Preserving Release of Spatio-Temporal Density.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Mobile Data Privacy., 2018

2016

Near-Optimal Fingerprinting with Constraints.

[BibT_eX]

[DOI]

Gábor György Gulyás

Proc. Priv. Enhancing Technol., 2016

2015

On the Unicity of Smartphone Applications.

[BibT_eX]

[DOI]

Jagdish Prasad Achara

Proceedings of the 14th ACM Workshop on Privacy in the Electronic Society, 2015

Probabilistic km-anonymity efficient anonymization of large set-valued datasets.

[BibT_eX]

[DOI]

Jagdish Prasad Achara

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Retargeting Without Tracking.

[BibT_eX]

[DOI]

Minh-Dung Tran

CoRR, 2014

A case study: privacy preserving release of spatio-temporal density in paris.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Cache Privacy in Named-Data Networking.

[BibT_eX]

[DOI]

Proceedings of the IEEE 33rd International Conference on Distributed Computing Systems, 2013

2012

DREAM: DiffeRentially privatE smArt Metering

[BibT_eX]

[DOI]

CoRR, 2012

You are what you like! Information leakage through users' Interests.

[BibT_eX]

[DOI]

Chaabane Abdelberi

Mohamed Ali Kâafar

Proceedings of the 19th Annual Network and Distributed System Security Symposium, 2012

Differentially Private Histogram Publishing through Lossy Compression.

[BibT_eX]

[DOI]

Rui Chen

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Differentially private sequential data publication via variable-length n-grams.

[BibT_eX]

[DOI]

Rui Chen

Proceedings of the ACM Conference on Computer and Communications Security, 2012

2011

Protecting against physical resource monitoring.

[BibT_eX]

[DOI]

William Lecat

Proceedings of the 10th annual ACM workshop on Privacy in the electronic society, 2011

I Have a DREAM! (DiffeRentially privatE smArt Metering).

[BibT_eX]

[DOI]

Proceedings of the Information Hiding - 13th International Conference, 2011

2010

Misbehaving router detection in link-state routing for wireless mesh networks.

[BibT_eX]

[DOI]

László Dóra

Proceedings of the 11th IEEE International Symposium on a World of Wireless, 2010

2009

Biztonságos útvonalválasztás többugrásos vezetéknélküli hálózatokban.

[BibT_eX]

[DOI]

PhD thesis, 2009

2007

The Security Proof of a Link-state Routing Protocol for Wireless Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE 4th International Conference on Mobile Adhoc and Sensor Systems, 2007

2006

Provably Secure On-Demand Source Routing in Mobile Ad Hoc Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2006

Modelling adversaries and security objectives for routing protocols in wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM Workshop on Security of ad hoc and Sensor Networks, 2006

2005

Provable Security of On-Demand Distance Vector Routing in Wireless Ad Hoc Networks.

[BibT_eX]

[DOI]