Gergely Ács - RankMe

54 papers A* 6A 4B 1C 4Journal 26Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Anomaly Detection in Telemonitoring Using Sensor Correlation. ERCIM News Beatrix Koltai, Gergely Ács, András Gazdag
2025	J	`jnl`	Interdependent Privacy in Smart Homes: Hunting for Bystanders in Privacy Policies. CoRR Shuaishuai Liu, Gergely Ács, Gergely Biczók
2024	J	`jnl`	MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. 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
2024	A	`conf`	SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. DATE 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
2024	C	`conf`	Supporting CAN Bus Anomaly Detection with Correlation Data. ICISSP Beatrix Koltai, András Gazdag, Gergely Ács
2023	—	`conf`	Client-specific Property Inference against Secure Aggregation in Federated Learning. WPES@CCS Raouf Kerkouche, Gergely Ács, Mario Fritz
2023	J	`jnl`	Client-specific Property Inference against Secure Aggregation in Federated Learning. CoRR Raouf Kerkouche, Gergely Ács, Mario Fritz
2023	A*	`conf`	Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI 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
2023	J	`jnl`	Privacy pitfalls of releasing in-vehicle network data. Veh. Commun. András Gazdag, Szilvia Lestyán, Mina Remeli, Gergely Ács, Tamás Holczer, Gergely Biczók
2022	J	`jnl`	Collaborative Drug Discovery: Inference-level Data Protection Perspective. CoRR Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács
2022	J	`jnl`	Collaborative Drug Discovery: Inference-level Data Protection Perspective. Trans. Data Priv. Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Ács
2022	J	`jnl`	In Search of Lost Utility: Private Location Data. Proc. Priv. Enhancing Technol. Szilvia Lestyán, Gergely Ács, Gergely Biczók
2022	J	`jnl`	Industry-Scale Orchestrated Federated Learning for Drug Discovery. CoRR 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
2022	C	`conf`	SIMBIoTA-ML: Light-weight, Machine Learning-based Malware Detection for Embedded IoT Devices. IoTBDS Dorottya Papp, Gergely Ács, Roland Nagy, Levente Buttyán
2021	A	`conf`	Compression Boosts Differentially Private Federated Learning. EuroS&P Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès
2021	J	`jnl`	Constrained Differentially Private Federated Learning for Low-bandwidth Devices. CoRR Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès
2021	A	`conf`	Constrained differentially private federated learning for low-bandwidth devices. UAI Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès
2021	J	`jnl`	Measuring Contributions in Privacy-Preserving Federated Learning. ERCIM News Balázs Pejó, Gergely Biczók, Gergely Ács
2021	—	`conf`	Privacy-preserving and bandwidth-efficient federated learning: an application to in-hospital mortality prediction. CHIL Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès
2020	J	`jnl`	Compression Boosts Differentially Private Federated Learning. CoRR Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès
2020	J	`jnl`	Federated Learning in Adversarial Settings. CoRR Raouf Kerkouche, Gergely Ács, Claude Castelluccia
2020	J	`jnl`	Privacy-preserving release of mobility data: a clean-slate approach. CoRR Szilvia Lestyán, Gergely Ács, Gergely Biczók
2019	—	`conf`	Automatic Driver Identification from In-Vehicle Network Logs. ITSC Mina Remeli, Szilvia Lestyán, Gergely Ács, Gergely Biczók
2019	J	`jnl`	Automatic Driver Identification from In-Vehicle Network Logs. CoRR Mina Remeli, Szilvia Lestyan, Gergely Ács, Gergely Biczók
2019	—	`conf`	Differential Inference Testing: A Practical Approach to Evaluate Sanitizations of Datasets. IEEE Symposium on Security and Privacy Workshops Ali Kassem, Gergely Ács, Claude Castelluccia, Catuscia Palamidessi
2019	J	`jnl`	Differentially Private Mixture of Generative Neural Networks. IEEE Trans. Knowl. Data Eng. Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro
2019	C	`conf`	Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identification. ICISSP Szilvia Lestyan, Gergely Ács, Gergely Biczók, Zsolt Szalay
2019	J	`jnl`	Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identification. CoRR Szilvia Lestyan, Gergely Ács, Gergely Biczók, Zsolt Szalay
2019	J	`jnl`	Privacy-Aware Caching in Information-Centric Networking. IEEE Trans. Dependable Secur. Comput. Gergely Ács, Mauro Conti, Paolo Gasti, Cesar Ghali, Gene Tsudik, Christopher A. Wood
2018	—	`ch.`	Privacy-Preserving Release of Spatio-Temporal Density. Handbook of Mobile Data Privacy Gergely Ács, Gergely Biczók, Claude Castelluccia
2017	A*	`conf`	Differentially Private Mixture of Generative Neural Networks. ICDM Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro
2017	J	`jnl`	Differentially Private Mixture of Generative Neural Networks. CoRR Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro
2016	J	`jnl`	Near-Optimal Fingerprinting with Constraints. CoRR Gábor György Gulyás, Gergely Ács, Claude Castelluccia
2016	J	`jnl`	Near-Optimal Fingerprinting with Constraints. Proc. Priv. Enhancing Technol. Gábor György Gulyás, Gergely Ács, Claude Castelluccia
2015	—	`conf`	On the Unicity of Smartphone Applications. WPES@CCS Jagdish Prasad Achara, Gergely Ács, Claude Castelluccia
2015	J	`jnl`	On the Unicity of Smartphone Applications. CoRR Jagdish Prasad Achara, Gergely Ács, Claude Castelluccia
2015	—	`conf`	Probabilistic km-anonymity efficient anonymization of large set-valued datasets. IEEE BigData Gergely Ács, Jagdish Prasad Achara, Claude Castelluccia
2014	—	`ed.`	7th ACM Conference on Security & Privacy in Wireless and Mobile Networks, WiSec'14, Oxford, United Kingdom, July 23-25, 2014 WISEC Gergely Ács, Andrew P. Martin, Ivan Martinovic, Claude Castelluccia, Patrick Traynor
2014	A*	`conf`	A case study: privacy preserving release of spatio-temporal density in paris. KDD Gergely Ács, Claude Castelluccia
2014	J	`jnl`	Retargeting Without Tracking. CoRR Minh-Dung Tran, Gergely Ács, Claude Castelluccia
2013	A	`conf`	Cache Privacy in Named-Data Networking. ICDCS Gergely Ács, Mauro Conti, Paolo Gasti, Cesar Ghali, Gene Tsudik
2012	J	`jnl`	DREAM: DiffeRentially privatE smArt Metering CoRR Gergely Ács, Claude Castelluccia
2012	A*	`conf`	Differentially Private Histogram Publishing through Lossy Compression. ICDM Gergely Ács, Claude Castelluccia, Rui Chen
2012	A*	`conf`	Differentially private sequential data publication via variable-length n-grams. CCS Rui Chen, Gergely Ács, Claude Castelluccia
2012	A*	`conf`	You are what you like! Information leakage through users' Interests. NDSS Chaabane Abdelberi, Gergely Ács, Mohamed Ali Kâafar
2011	—	`conf`	I Have a DREAM! (DiffeRentially privatE smArt Metering). Information Hiding Gergely Ács, Claude Castelluccia
2011	—	`conf`	Protecting against physical resource monitoring. WPES Gergely Ács, Claude Castelluccia, William Lecat
2010	C	`conf`	Misbehaving router detection in link-state routing for wireless mesh networks. WOWMOM Gergely Ács, Levente Buttyán, László Dóra
2009	—	`—`	Biztonságos útvonalválasztás többugrásos vezetéknélküli hálózatokban. Gergely Ács
2007	B	`conf`	The Security Proof of a Link-state Routing Protocol for Wireless Sensor Networks. MASS Gergely Ács, Levente Buttyán, István Vajda
2006	—	`conf`	Modelling adversaries and security objectives for routing protocols in wireless sensor networks. SASN Gergely Ács, Levente Buttyán, István Vajda
2006	J	`jnl`	Provably Secure On-Demand Source Routing in Mobile Ad Hoc Networks. IEEE Trans. Mob. Comput. Gergely Ács, Levente Buttyán, István Vajda
2005	—	`conf`	Provable Security of On-Demand Distance Vector Routing in Wireless Ad Hoc Networks. ESAS Gergely Ács, Levente Buttyán, István Vajda
2004	J	`jnl`	Provably Secure On-demand Source Routing in Mobile Ad Hoc Networks. IACR Cryptol. ePrint Arch. Gergely Ács, Levente Buttyán, István Vajda