Gergely Ács

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 31

Top Topics

Malware Detection

Advanced Driver Assistance Systems

Differentially Private

Top Venues

Proc. Priv. Enhancing Technol.

Publications

Francesco Regazzoni, Gergely Ács, Albert Zoltan Aszalos, Christos Avgerinos, Nikolaos Bakalos, Josep Lluis Berral, Joppe W. Bos, Marco Brohet, Andrés G. Castillo Sanz, Gareth T. Davies, Stefanos Florescu, Pierre-Elisée Flory, Alberto Gutierrez-Torre, Evangelos Haleplidis, Alice Héliou, Sotirios Ioannidis, Alexander Islam El-Kady, Katarzyna Kapusta, Konstantina Karagianni, Pieter Kruizinga, Kyrian Maat, Zoltán Ádám Mann, Kalliopi Mastoraki, SeoJeong Moon, Maja Nisevic, Balázs Pejó, Kostas Papagiannopoulos, Vassilis Paliouras, Paolo Palmieri, Francesca Palumbo, Juan Carlos Pérez Baun, Péter Pollner, Eduard Porta-Pardo, Luca Pulina, Muhammad Ali Siddiqi, Daniela Spajic, Christos Strydis, Georgios Tasopoulos, Vincent Thouvenot, Christos Tselios, Apostolos P. Fournaris
SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. DATE (2024)
Wouter Heyndrickx, Lewis H. Mervin, Tobias Morawietz, Noé Sturm, Lukas Friedrich, Adam Zalewski, Anastasia Pentina, Lina Humbeck, Martijn Oldenhof, Ritsuya Niwayama, Peter Schmidtke, Nikolas Fechner, Jaak Simm, Adam Arany, Nicolas Drizard, Rama Jabal, Arina Afanasyeva, Regis Loeb, Shlok Verma, Simon Harnqvist, Matthew Holmes, Balazs Pejo, Maria Telenczuk, Nicholas Holway, Arne Dieckmann, Nicola Rieke, Friederike Zumsande, Djork-Arné Clevert, Michael Krug, Christopher N. Luscombe, Darren V. S. Green, Peter Ertl, Peter Antal, David Marcus, Nicolas Do Huu, Hideyoshi Fuji, Stephen D. Pickett, Gergely Ács, Eric Boniface, Bernd Beck, Yax Sun, Arnaud Gohier, Friedrich Rippmann, Ola Engkvist, Andreas H. Göller, Yves Moreau, Mathieu N. Galtier, Ansgar Schuffenhauer, Hugo Ceulemans
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. 64 (7) (2024)
Beatrix Koltai, András Gazdag, Gergely Ács
Supporting CAN Bus Anomaly Detection with Correlation Data. ICISSP (2024)
Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Wouter Heyndrickx, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Antoine Simon, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier
Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI (2023)
Raouf Kerkouche, Gergely Ács, Mario Fritz
Client-specific Property Inference against Secure Aggregation in Federated Learning. WPES@CCS (2023)
András Gazdag, Szilvia Lestyán, Mina Remeli, Gergely Ács, Tamás Holczer, Gergely Biczók
Privacy pitfalls of releasing in-vehicle network data. Veh. Commun. 39 (2023)
Raouf Kerkouche, Gergely Ács, Mario Fritz
Client-specific Property Inference against Secure Aggregation in Federated Learning. CoRR (2023)
Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier
Industry-Scale Orchestrated Federated Learning for Drug Discovery. CoRR (2022)
Dorottya Papp, Gergely Ács, Roland Nagy, Levente Buttyán
SIMBIoTA-ML: Light-weight, Machine Learning-based Malware Detection for Embedded IoT Devices. IoTBDS (2022)
Szilvia Lestyán, Gergely Ács, Gergely Biczók
In Search of Lost Utility: Private Location Data. Proc. Priv. Enhancing Technol. 2022 (3) (2022)
Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács
Collaborative Drug Discovery: Inference-level Data Protection Perspective. CoRR (2022)
Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács
Collaborative Drug Discovery: Inference-level Data Protection Perspective. Trans. Data Priv. 15 (2) (2022)
Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès
Compression Boosts Differentially Private Federated Learning. EuroS&P (2021)
Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès
Constrained differentially private federated learning for low-bandwidth devices. UAI (2021)
Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès
Privacy-preserving and bandwidth-efficient federated learning: an application to in-hospital mortality prediction. CHIL (2021)
Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès
Constrained Differentially Private Federated Learning for Low-bandwidth Devices. CoRR (2021)
Balázs Pejó, Gergely Biczók, Gergely Ács
Measuring Contributions in Privacy-Preserving Federated Learning. ERCIM News 2021 (126) (2021)
Raouf Kerkouche, Gergely Ács, Claude Castelluccia
Federated Learning in Adversarial Settings. CoRR (2020)
Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès
Compression Boosts Differentially Private Federated Learning. CoRR (2020)
Szilvia Lestyán, Gergely Ács, Gergely Biczók
Privacy-preserving release of mobility data: a clean-slate approach. CoRR (2020)
Mina Remeli, Szilvia Lestyan, Gergely Ács, Gergely Biczók
Automatic Driver Identification from In-Vehicle Network Logs. CoRR (2019)
Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro
Differentially Private Mixture of Generative Neural Networks. IEEE Trans. Knowl. Data Eng. 31 (6) (2019)
Szilvia Lestyan, Gergely Ács, Gergely Biczók, Zsolt Szalay
Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identification. ICISSP (2019)
Ali Kassem, Gergely Ács, Claude Castelluccia, Catuscia Palamidessi
Differential Inference Testing: A Practical Approach to Evaluate Sanitizations of Datasets. IEEE Symposium on Security and Privacy Workshops (2019)
Szilvia Lestyan, Gergely Ács, Gergely Biczók, Zsolt Szalay
Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identification. CoRR (2019)
Gergely Ács, Mauro Conti, Paolo Gasti, Cesar Ghali, Gene Tsudik, Christopher A. Wood
Privacy-Aware Caching in Information-Centric Networking. IEEE Trans. Dependable Secur. Comput. 16 (2) (2019)
Mina Remeli, Szilvia Lestyán, Gergely Ács, Gergely Biczók
Automatic Driver Identification from In-Vehicle Network Logs. ITSC (2019)
Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro
Differentially Private Mixture of Generative Neural Networks. ICDM (2017)
Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro
Differentially Private Mixture of Generative Neural Networks. CoRR (2017)
Gábor György Gulyás, Gergely Ács, Claude Castelluccia
Near-Optimal Fingerprinting with Constraints. CoRR (2016)
Gábor György Gulyás, Gergely Ács, Claude Castelluccia
Near-Optimal Fingerprinting with Constraints. Proc. Priv. Enhancing Technol. 2016 (4) (2016)
Jagdish Prasad Achara, Gergely Ács, Claude Castelluccia
On the Unicity of Smartphone Applications. WPES@CCS (2015)
Jagdish Prasad Achara, Gergely Ács, Claude Castelluccia
On the Unicity of Smartphone Applications. CoRR (2015)
Gergely Ács, Jagdish Prasad Achara, Claude Castelluccia
Probabilistic km-anonymity efficient anonymization of large set-valued datasets. IEEE BigData (2015)
Gergely Ács, Claude Castelluccia
A case study: privacy preserving release of spatio-temporal density in paris. KDD (2014)
Minh-Dung Tran, Gergely Ács, Claude Castelluccia
Retargeting Without Tracking. CoRR (2014)
Gergely Ács, Mauro Conti, Paolo Gasti, Cesar Ghali, Gene Tsudik
Cache Privacy in Named-Data Networking. ICDCS (2013)
Rui Chen, Gergely Ács, Claude Castelluccia
Differentially private sequential data publication via variable-length n-grams. CCS (2012)
Gergely Ács, Claude Castelluccia, Rui Chen
Differentially Private Histogram Publishing through Lossy Compression. ICDM (2012)
Gergely Ács, Claude Castelluccia
DREAM: DiffeRentially privatE smArt Metering CoRR (2012)
Chaabane Abdelberi, Gergely Ács, Mohamed Ali Kâafar
You are what you like! Information leakage through users' Interests. NDSS (2012)
Gergely Ács, Claude Castelluccia
I Have a DREAM! (DiffeRentially privatE smArt Metering). Information Hiding (2011)
Gergely Ács, Claude Castelluccia, William Lecat
Protecting against physical resource monitoring. WPES (2011)
Gergely Ács, Levente Buttyán, László Dóra
Misbehaving router detection in link-state routing for wireless mesh networks. WOWMOM (2010)
Gergely Ács, Levente Buttyán, István Vajda
The Security Proof of a Link-state Routing Protocol for Wireless Sensor Networks. MASS (2007)
Gergely Ács, Levente Buttyán, István Vajda
Modelling adversaries and security objectives for routing protocols in wireless sensor networks. SASN (2006)
Gergely Ács, Levente Buttyán, István Vajda
Provably Secure On-Demand Source Routing in Mobile Ad Hoc Networks. IEEE Trans. Mob. Comput. 5 (11) (2006)
Gergely Ács, Levente Buttyán, István Vajda
Provable Security of On-Demand Distance Vector Routing in Wireless Ad Hoc Networks. ESAS (2005)
Gergely Ács, Levente Buttyán, István Vajda
Provably Secure On-demand Source Routing in Mobile Ad Hoc Networks. IACR Cryptol. ePrint Arch. 2004 (2004)