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personal data approved: 2024. I. 09.
Personal data
name Gergely Ács
name of institution
doctoral school
BME Doctoral School of Informatics (Supervisor)
the share of work in the different doctoral schools. BME Doctoral School of Informatics 100%
Contact details
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2009
discipline to which degree belongs computer sciences
institution granting the degree BME
Employment
2016 - Budapest University of Technology and Economics
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 0
number of students who fulfilled course requirements 0
students who obtained their degrees:
present PhD students:
Beatrix Koltai (PhD) (2028/01)  DSI-BME
  Thesis topic proposals
Research
research area Data security and privacy, security of machine learning
research field in which current research is conducted computer sciences
Publications
2023

Gazdag András, Lestyán Szilvia, Remeli Mina, Ács Gergely, Holczer Tamás, Biczók Gergely: Privacy pitfalls of releasing in-vehicle network data, VEHICULAR COMMUNICATIONS 39: pp. 1-22.
type of document: Journal paper/Article
language: English
URL 
2023

Oldenhof Martijn, Ács Gergely, Pejó Balázs, Schuffenhauer Ansgar, Holway Nicholas, Sturm Noé, Dieckmann Arne, Fortmeier Oliver, Boniface Eric, Mayer Clément, Gohier Arnaud, Schmidtke Peter, Niwayama Ritsuya, Kopecky Dieter, Mervin Lewis, Rathi Prakash Chandra, Friedrich Lukas, Formanek András, Antal Peter, Rahaman Jordon, Zalewski Adam, Heyndrickx Wouter, Oluoch Ezron, Stößel Manuel, Vančo Michal, Endico David, Gelus Fabien, De Boisfossé Thaïs, Darbier Adrien, Nicollet Ashley, Blottière Matthieu, Telenczuk Maria, Nguyen Van Tien, Martinez Thibaud, Boillet Camille, Moutet Kelvin, Picosson Alexandre, Gasser Aurélien, Djafar Inal, Simon Antoine, Arany Ádám, Simm Jaak, Moreau Yves, Engkvist Ola, Ceulemans Hugo, Marini Camille, Galtier Mathieu: Industry-Scale Orchestrated Federated Learning for Drug Discovery, AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE 37: (13) pp. 15576-15584.
type of document:
number of independent citations: 1
language: English
URL 
2023

Kerkouche R., Ács G., Fritz M.: Client-specific Property Inference against Secure Aggregation in Federated Learning, In: Bart, Knijnenburg; Panos, Papadimitratos (szerk.) WPES '23: Proceedings of the 22nd Workshop on Privacy in the Electronic Society, Association for Computing Machinery, Inc (2023) pp. 45-60.
type of document: Part of book/Proceedings Paper
language: English
URL 
2022

Papp Dorottya, Ács Gergely, Nagy Roland, Buttyán Levente: SIMBIoTA-ML: Light-weight, Machine Learning-based Malware Detection for Embedded IoT Devices, In: Bastieri, D; Wills, G; Kacsuk, P; Chang, V (szerk.) Proceedings of the 7th International Conference on Internet of Things, Big Data and Security, IoTBDS 2022, SciTePress (2022) pp. 55-66.
type of document: Part of book/Proceedings Paper
language: English
URL 
2022

Pejo B., Remeli M., Arany A., Galtier M., Acs G.: Collaborative Drug Discovery: Inference-level Data Protection Perspective, TRANSACTIONS ON DATA PRIVACY 15: (2) pp. 87-107.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2022

Hajdu Nándor, Schmidt Kathleen, Acs Gergely, Röer Jan P., Mirisola Alberto, Giammusso Isabella, Arriaga Patrícia, Ribeiro Rafael, Dubrov Dmitrii, Grigoryev Dmitry, Arinze Nwadiogo C., Voracek Martin, Stieger Stefan, Adamkovic Matus, Elsherif Mahmoud, Kern Bettina M. J., Barzykowski Krystian, Ilczuk Ewa, Martončik Marcel, Ropovik Ivan, Ruiz-Fernandez Susana, Baník Gabriel, Ulloa José Luis, Aczel Balázs, Szaszi Barnabás: Contextual factors predicting compliance behavior during the COVID-19 pandemic, PLOS ONE 17: (11) e0276970
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2021

Kerkouche Raouf, Ács Gergely, Castelluccia Claude, Geneves Pierre: Compression Boosts Differentially Private Federated Learning, In: IEEE (szerk.) IEEE European Symposium on Security and Privacy (EuroS&P), IEEE (2021) pp. 304-318.
type of document: Part of book/Proceedings Paper
number of independent citations: 6
language: English
URL 
2019

Acs G., Conti M., Gasti P., Ghali C., Tsudik G., Wood C.A.: Privacy-Aware Caching in Information-Centric Networking, IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING 16: (2) pp. 313-328.
type of document: Journal paper/Article
number of independent citations: 13
language: English
URL 
2015

Acs Gergely, Achara Jagdish Prasad, Castelluccia Claude: Probabilistic km-anonymity efficient anonymization of large set-valued datasets, In: Ho, H; Ooi, BC; Zaki, MJ; Hu, XH; Haas, L; Kumar, V; Rachuri, S; Yu, SP; Hsiao, MHI; Li, J; Luo, F; Pyne, S; Ogan, K (szerk.) PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, IEEE (2015) pp. 1164-1173.
type of document: Part of book/Proceedings Paper
language: English
2014

Acs Gergely, Castelluccia Claude: A Case Study: Privacy Preserving Release of Spatio-temporal Density in Paris, In: ACM (szerk.) Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, Association for Computing Machinery (ACM) (2014) pp. 1679-1688.
type of document: Part of book/Proceedings Paper
number of independent citations: 7
language: English
URL 
Number of independent citations to these publications:29 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
44
number of scientific publications:
42
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
679


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )