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2020 – today
- 2024
[j8]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): 2331-2344 (2024)- [c25]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: 1-4 - [c24]Beatrix Koltai, András Gazdag, Gergely Ács:
Supporting CAN Bus Anomaly Detection with Correlation Data. ICISSP 2024: 285-296 - 2023
- [j7]András Gazdag, Szilvia Lestyán, Mina Remeli, Gergely Ács, Tamás Holczer, Gergely Biczók:
Privacy pitfalls of releasing in-vehicle network data. Veh. Commun. 39: 100565 (2023) - [c23]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: 15576-15584 - [c22]Raouf Kerkouche, Gergely Ács, Mario Fritz:
Client-specific Property Inference against Secure Aggregation in Federated Learning. WPES@CCS 2023: 45-60 - [i16]Raouf Kerkouche, Gergely Ács, Mario Fritz:
Client-specific Property Inference against Secure Aggregation in Federated Learning. CoRR abs/2303.03908 (2023) - 2022
- [j6]Szilvia Lestyán, Gergely Ács, Gergely Biczók:
In Search of Lost Utility: Private Location Data. Proc. Priv. Enhancing Technol. 2022(3): 354-372 (2022) - [j5]Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács:
Collaborative Drug Discovery: Inference-level Data Protection Perspective. Trans. Data Priv. 15(2): 87-107 (2022) - [c21]Dorottya Papp, Gergely Ács, Roland Nagy, Levente Buttyán:
SIMBIoTA-ML: Light-weight, Machine Learning-based Malware Detection for Embedded IoT Devices. IoTBDS 2022: 55-66 - [i15]Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács:
Collaborative Drug Discovery: Inference-level Data Protection Perspective. CoRR abs/2205.06506 (2022) - [i14]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 abs/2210.08871 (2022) - 2021
- [c20]Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Privacy-preserving and bandwidth-efficient federated learning: an application to in-hospital mortality prediction. CHIL 2021: 25-35 - [c19]Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Compression Boosts Differentially Private Federated Learning. EuroS&P 2021: 304-318 - [c18]Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Constrained differentially private federated learning for low-bandwidth devices. UAI 2021: 1756-1765 - [i13]Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Constrained Differentially Private Federated Learning for Low-bandwidth Devices. CoRR abs/2103.00342 (2021) - [i12]Balázs Pejó, Gergely Biczók, Gergely Ács:
Measuring Contributions in Privacy-Preserving Federated Learning. ERCIM News 2021(126) (2021) - 2020
- [i11]Szilvia Lestyán, Gergely Ács, Gergely Biczók:
Privacy-preserving release of mobility data: a clean-slate approach. CoRR abs/2008.01665 (2020) - [i10]Raouf Kerkouche, Gergely Ács, Claude Castelluccia:
Federated Learning in Adversarial Settings. CoRR abs/2010.07808 (2020) - [i9]Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Compression Boosts Differentially Private Federated Learning. CoRR abs/2011.05578 (2020)
2010 – 2019
- 2019
- [j4]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): 313-328 (2019) - [j3]Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro:
Differentially Private Mixture of Generative Neural Networks. IEEE Trans. Knowl. Data Eng. 31(6): 1109-1121 (2019) - [c17]Szilvia Lestyan, Gergely Ács, Gergely Biczók, Zsolt Szalay:
Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identification. ICISSP 2019: 136-145 - [c16]Mina Remeli, Szilvia Lestyán, Gergely Ács, Gergely Biczók:
Automatic Driver Identification from In-Vehicle Network Logs. ITSC 2019: 1150-1157 - [c15]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: 72-79 - [i8]Szilvia Lestyan, Gergely Ács, Gergely Biczók, Zsolt Szalay:
Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identification. CoRR abs/1902.08956 (2019) - [i7]Mina Remeli, Szilvia Lestyan, Gergely Ács, Gergely Biczók:
Automatic Driver Identification from In-Vehicle Network Logs. CoRR abs/1911.09508 (2019) - 2018
- [r1]Gergely Ács, Gergely Biczók, Claude Castelluccia:
Privacy-Preserving Release of Spatio-Temporal Density. Handbook of Mobile Data Privacy 2018: 307-335 - 2017
- [c14]Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro:
Differentially Private Mixture of Generative Neural Networks. ICDM 2017: 715-720 - [i6]Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro:
Differentially Private Mixture of Generative Neural Networks. CoRR abs/1709.04514 (2017) - 2016
- [j2]Gábor György Gulyás, Gergely Ács, Claude Castelluccia:
Near-Optimal Fingerprinting with Constraints. Proc. Priv. Enhancing Technol. 2016(4): 470-487 (2016) - [i5]Gábor György Gulyás, Gergely Ács, Claude Castelluccia:
Near-Optimal Fingerprinting with Constraints. CoRR abs/1605.08664 (2016) - 2015
- [c13]Gergely Ács, Jagdish Prasad Achara, Claude Castelluccia:
Probabilistic km-anonymity efficient anonymization of large set-valued datasets. IEEE BigData 2015: 1164-1173 - [c12]Jagdish Prasad Achara, Gergely Ács, Claude Castelluccia:
On the Unicity of Smartphone Applications. WPES@CCS 2015: 27-36 - [i4]Jagdish Prasad Achara, Gergely Ács, Claude Castelluccia:
On the Unicity of Smartphone Applications. CoRR abs/1507.07851 (2015) - 2014
- [c11]Gergely Ács, Claude Castelluccia:
A case study: privacy preserving release of spatio-temporal density in paris. KDD 2014: 1679-1688 - [e1]Gergely Ács, Andrew P. Martin, Ivan Martinovic, Claude Castelluccia, Patrick Traynor:
7th ACM Conference on Security & Privacy in Wireless and Mobile Networks, WiSec'14, Oxford, United Kingdom, July 23-25, 2014. ACM 2014, ISBN 978-1-4503-2972-9 [contents] - [i3]Minh-Dung Tran, Gergely Ács, Claude Castelluccia:
Retargeting Without Tracking. CoRR abs/1404.4533 (2014) - 2013
- [c10]Gergely Ács, Mauro Conti, Paolo Gasti, Cesar Ghali, Gene Tsudik:
Cache Privacy in Named-Data Networking. ICDCS 2013: 41-51 - 2012
- [c9]Rui Chen, Gergely Ács, Claude Castelluccia:
Differentially private sequential data publication via variable-length n-grams. CCS 2012: 638-649 - [c8]Gergely Ács, Claude Castelluccia, Rui Chen:
Differentially Private Histogram Publishing through Lossy Compression. ICDM 2012: 1-10 - [c7]Chaabane Abdelberi, Gergely Ács, Mohamed Ali Kâafar:
You are what you like! Information leakage through users' Interests. NDSS 2012 - [i2]Gergely Ács, Claude Castelluccia:
DREAM: DiffeRentially privatE smArt Metering. CoRR abs/1201.2531 (2012) - 2011
- [c6]Gergely Ács, Claude Castelluccia:
I Have a DREAM! (DiffeRentially privatE smArt Metering). Information Hiding 2011: 118-132 - [c5]Gergely Ács, Claude Castelluccia, William Lecat:
Protecting against physical resource monitoring. WPES 2011: 23-32 - 2010
- [c4]Gergely Ács, Levente Buttyán, László Dóra:
Misbehaving router detection in link-state routing for wireless mesh networks. WOWMOM 2010: 1-6
2000 – 2009
- 2009
- [b1]Gergely Ács:
Biztonságos útvonalválasztás többugrásos vezetéknélküli hálózatokban. Budapest University of Technology and Economics, Hungary, 2009 - 2007
- [c3]Gergely Ács, Levente Buttyán, István Vajda:
The Security Proof of a Link-state Routing Protocol for Wireless Sensor Networks. MASS 2007: 1-6 - 2006
- [j1]Gergely Ács, Levente Buttyán, István Vajda:
Provably Secure On-Demand Source Routing in Mobile Ad Hoc Networks. IEEE Trans. Mob. Comput. 5(11): 1533-1546 (2006) - [c2]Gergely Ács, Levente Buttyán, István Vajda:
Modelling adversaries and security objectives for routing protocols in wireless sensor networks. SASN 2006: 49-58 - 2005
- [c1]Gergely Ács, Levente Buttyán, István Vajda:
Provable Security of On-Demand Distance Vector Routing in Wireless Ad Hoc Networks. ESAS 2005: 113-127 - 2004
- [i1]Gergely Ács, Levente Buttyán, István Vajda:
Provably Secure On-demand Source Routing in Mobile Ad Hoc Networks. IACR Cryptol. ePrint Arch. 2004: 159 (2004)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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