Gergely Ács Associate Professor CrySyS Lab, Budapest University of Technology and Economics (BME) Address: BME-HIT, Magyar Tudósok körútja, 2., 1117 Budapest, Hungary Office: I.E.430 Phone: +36 1 463 2080

Short biography:

Gergely ÁCS [gergej ɑ:tʃ] received the M.Sc. and Ph.D. degree in Computer Science from the Budapest University of Technology and Economics (BME), where he conducted research in the Laboratory of Cryptography and System Security (CrySyS). Currently, he is an associate professor at Budapest University of Technology and Economics (BME), in Hungary. Before that, he was a post-doc and then research engineer in Privatics Team at INRIA, in France. His general research interests include data privacy and security, as well as machine learning in this context.

• R. Kerkouche, G. Acs, M. Fritz
  Client-specific Property Inference against Secure Aggregation in Federated Learning
  ACM Workshop on Privacy in the Electronic Society (WPES), 2023
  arXiv:2303.03908
  
  
• M. Oldenhof et al.
  Industry-Scale Orchestrated Federated Learning for Drug Discovery
  35th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-23), 2023
  arXiv:2210.08871
  
  
• D. Papp, G. Acs, R. Nagy, L. Buttyán
  SIMBIoTA-ML: Light-weight, Machine Learning-based Malware Detection for Embedded IoT Devices
  7th International Conference on Internet of Things, Big Data, and Security (IoTBDS), 2022
  
  
• Sz. Lestyán, G. Acs, G. Biczók
  In Search of Lost Utility: Private Location Data
  The 22nd Privacy Enhancing Technologies Symposium (PETS), 2022
  arXiv:2008.01665
  
  
• R. Kerkouche, G. Acs, C. Castelluccia, P. Geneves
  Constrained Differentially Private Federated Learning for Low-bandwidth Devices
  Conference on Uncertainty in Artificial Intellgience (UAI), 2021
  arXiv:2011.05578
  
  
• R. Kerkouche, G. Acs, C. Castelluccia, P. Geneves
  Privacy-Preserving and Bandwidth-Efficient Federated Learning: An Application to In-Hospital Mortality Prediction
  ACM Conference on Health, Inference, and Learning (CHIL), 2021
  hal-03160473
  
  
• R. Kerkouche, G. Acs, C. Castelluccia, P. Geneves
  Compression Boosts Differentially Private Federated Learning
  IEEE European Symposium on Security and Privacy (Euro S&P), 2021
  arXiv:2011.05578
  
  
• M. Remeli, Sz. Lestyán, G. Acs, G. Biczók
  Automatic Driver Identification from In-Vehicle Network Log
  IEEE Intelligent Transportation Systems Conference (ITSC), 2019
  PDF
  
  
• A. Kassem, G. Ács, C. Castelluccia, C. Palamidessi
  Differential Inference Testing: A Practical Approach to Evaluate Sanitizations of Datasets
  International Workshop on Privacy Engineering (IWPE), 2019
  PDF
  
  
• Sz. Lestyán, G. Ács ,G. Biczók, Zs. Szalay
  Extracting vehicle sensor signals from CAN logs for driver re-identification
  5th International Conference on Information Security and Privacy (ICISSP), 2019
  arXiv:1902.08956
  
  
• G. Ács, L. Melis, C. Castelluccia, E. De Cristofaro
  Differentially Private Mixture of Generative Neural Networks
  IEEE International Conference on Data Mining (ICDM), 2017.
  arXiv:1709.04514
  
  
• G. Gy. Gulyás, G. Ács, C. Castelluccia
  Near-Optimal Fingerprinting with Constraints
  PET Symposium, 2016.
  arXiv:1605.08664
  
  
• G. Ács, J. P. Achara, C. Castelluccia
  Probabilistic k^m-anonymity (Efficient Anonymization of Large Set-Valued Datasets)
  IEEE International Conference on Big Data (Big Data), 2015.
  PDF
  
  
• J. P. Achara, G. Ács, C. Castelluccia
  On the Unicity of Smartphone Applications
  ACM Workshop on Privacy in the Electronic Society (WPES), 2015.
  arXiv:1507.07851
  
  
• G. Ács, C. Castelluccia
  A Case Study: Privacy Preserving Release of Spatio-temporal Density in Paris
  The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014.
  PDF
  
  
• M.-D. Tran, G. Ács, C. Castelluccia
  Retargeting Without Tracking
  Technical Report, INRIA, 2014.
  arXiv:1404.4533
  
  
• G. Ács, M. Conti, P. Gasti, C. Ghali, G. Tsudik
  Cache Privacy in Named-Data Networking
  The 33rd International Conference on Distributed Computing Systems (ICDCS), 2013.
  PDF
  
  
• G. Ács, R. Chen, C. Castelluccia
  Differentially Private Histogram Publishing through Lossy Compression
  IEEE International Conference on Data Mining (ICDM), 2012.
  PDF, code (in Python)
  © IEEE
  
  
• R. Chen, G. Ács, C. Castelluccia
  Differentially Private Sequential Data Publication via Variable-Length N-Grams
  In 19th ACM Conference on Computer and Communications Security (CCS), 2012.
  PDF, code (in Python)
  
  
• A. Chaabane, G. Ács, M. Ali Kaafar
  You Are What You Like! Information Leakage Through Users' Interests
  In 19th Annual Network & Distributed System Security Symposium (NDSS), 2012.
  PDF
  
  
• G. Ács, C. Castelluccia, W. Lecat
  Protecting against Physical Resource Monitoring
  The 10th ACM Workshop on Privacy in the Electronic Society (WPES), 2011.
  PDF
  © ACM
  
  
• G. Ács, C. Castelluccia
  I have a DREAM! (DiffeRentially privatE smArt Metering)
  The 13th Information Hiding Conference (IH), 2011.
  PDF
  Technical Report: arXiv:1201.2531
  


• G. Ács, L. Buttyán, L. Dóra
  Misbehaving Router Detection in Link-state Routing for Wireless Mesh Networks
  The 2nd IEEE WoWMoM Workshop on Hot Topics in Mesh Networking (HotMESH), 2010.
  PDF
  © IEEE
  
  
• G. Ács, L. Buttyán
  Design Principles of Routing Protocols in Wireless Sensor Networks
  Technical Report, CrySyS Lab, Budapest University of Technology and Economics, February 2010.
  PDF
  
  
• G. Ács, L. Buttyán, and I. Vajda,
  The Security Proof of a Link-state Routing Protocol for Wireless Sensor Networks,
  The 3rd IEEE Workshop on Wireless and Sensor Networks Security (WSNS 2007), Pisa, Italy, October 2007.
  PDF
  © IEEE
  


• G. Ács, L. Buttyán, and I. Vajda,
  Modelling Adversaries and Security Objectives for Routing Protocols in Wireless Sensor Networks,
  The Fourth ACM Workshop on Security of Ad Hoc and Sensor Networks (SASN 2006), Alexandria, VA, October 2006.
  PDF
  © ACM
  


• G. Ács, L. Buttyán, and I. Vajda,
  Provable Security of On-Demand Distance Vector Routing in Wireless Ad Hoc Networks,
  Second European Workshop on Security and Privacy in Ad Hoc and Sensor Networks (ESAS 2005)
  Visegrád, Hungary, July 13-14, 2005.
  PDF
  © Springer-Verlag
  

• W. Heyndrickx et al.
  MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information
  Journal of Chemical Information and Modeling (JCIM), 2023
  https://pubs.acs.org/doi/10.1021/acs.jcim.3c00799
  
  
• A. Gazdag, Sz. Lestyán, M. Remeli, G. Ács, T. Holczer, G. Biczók
  Privacy pitfalls of releasing in-vehicle network data
  Vehicular Communications, 2022
  https://doi.org/10.1016/j.vehcom.2022.100565
  
  
• N. Hajdu et al.
  Contextual factors predicting compliance behavior during the COVID-19 pandemic: A machine learning analysis on survey data from 16 countries
  PLOS ONE 17(11), 2022
  https://doi.org/10.1371/journal.pone.0276970
  
  
• B. Pejo, M. Remeli, A. Arany, M. Galtier, G. Acs
  Collaborative Drug Discovery: Inference-level Data Protection Perspective
  Transactions on Data Privacy, 2022.
  arXiv:2205.06506
  
  
• G. Ács, L. Melis, C. Castelluccia, E. De Cristofaro
  Differentially Private Mixture of Generative Neural Networks
  IEEE Transactions on Knowledge and Data Engineering, 2018.
  
  
• G. Ács, M. Conti, P. Gasti, C. Ghali, G. Tsudik, C. A. Wood
  Privacy-Aware Caching in Information-Centric Networking
  IEEE Transactions on Dependable Computing, Vol. 16, No. 2, 2017.
  
  
• G. Ács, L. Buttyán, and I. Vajda,
  Provably Secure On-demand Source Routing in Mobile Ad Hoc Networks,
  IEEE Transactions on Mobile Computing, Vol. 5, No. 11, November 2006.
  PDF
  © IEEE
  
  
• G. Ács, L. Buttyán,
  A Taxonomy of Routing Protocols for Wireless Sensor Networks
  Hiradástechnika, January 2007.
  PDF
  (Pollák-Virág Award of the Hungarian Telecommunication Scientific Society)


• G. Ács, L. Buttyán,
  Designing a Secure Label-switching Routing Protocol for Wireless Sensor Networks
  Periodica Polytechnica, Budapest University of Technology and Economics, December 2008.
  PDF
  
  

• G. Acs, G. Biczok, C. Castelluccia
  Privacy-Preserving Release of Spatio-Temporal Density,
  Book chapter in Handbook of Mobile Data Privacy, ISBN: 978-3-319-98161-1, Springer, 2018.
  Editors: A. Gkoulalas-Divanis, C. Bettini
  
  
• G. Ács, L. Buttyán,
  Secure Routing in Wireless Sensor Networks,
  Book chapter in Wireless Sensor Network Security, ISBN: 978-1-58603-813-7, IOS Press, Cryptology and Information Security Series, 2007.
  Editors: J. Lopez and J. Zhou
  
  

• G. Ács,
  Secure Routing in Multi-hop Wireless Networks,
  PhD Thesis, CrySyS Lab, Budapest University of Technology and Economics, 2009.
  PDF


• G. Ács,
  Secure Routing in Ad hoc Networks,
  Master's Thesis, CrySyS Lab, Budapest University of Technology and Economics, 2005. (in Hungarian)
  PDF

• Privacy-Preserving Technologies (VIHIAV35) (EN)
• Biztonság a Gépi Tanulásban / Security in Machine Learning (VIHIAV45) (HUN)
• Student projects (Önlab) (EN/HUN)


• Writing tips for students
• About research for PhD students

• What is personal data under the GDPR? (EN)
• Personal data and the GDPR (HUN)
• Aggregated data and the GDPR (HUN)

Curriculum Vitae:

• 2022 - : Associate Professor in the Laboratory of Cryptography and System Security (CrySyS) at the Budapest University of Technology and Economics.
  
• 2016 - 2022 : Assistant Professor in the Laboratory of Cryptography and System Security (CrySyS) at the Budapest University of Technology and Economics.
  
  • December 2016 - December 2019: Recipient of the Premium Post Doctorate Research Grant of the Hungarian Academy of Sciences (MTA)
  
  
• 2010 - 2016: Post-doctoral researcher and then research engineer in the Privatics Team led by Claude Castelluccia at INRIA, in France.
  
  • May 2012 - August 2012: Visiting Researcher at the University of California, Irvine under the supervision of Gene Tsudik
  
  
• 2005 - 2009: PhD student in the Laboratory of Cryptography and System Security (CrySyS) at the Budapest University of Technology and Economics. My supervisor was Prof. Levente Buttyán.
• PhD Thesis: Secure Routing in Multi-hop Wireless Networks


• 2004 - 2007: Budapest University of Technology and Economics, Faculty of Economic and Social Sciences, Teacher of Engineering (Computer Engineer)
• Master's Thesis: Identity Development in Adolescence (in Hungarian)


• 2000 - 2005: Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, Information Technology
  
  • 2003 - 2005: Specializing in Security of Information and Communication Systems
  • Master's Thesis: Secure Routing in Ad Hoc Networks (in Hungarian)
  
  
• 1994 - 2000: Béla III Secondary School, Zirc

• Language skills: English (written and spoken fluently), French (elementary), German (elementary), Hungarian (native)

Miscellaneous:

• Google Scholar Profile

• Twitter: @gergelyacs