GULYÁS, Gábor György Ph.D. HU

Research

My publications are about de-anonymisation, identification and anonymisation, and in recent years increasingly about the privacy issues of face recognition. Most articles were published in English, the early ones in Hungarian.

The list is up to date, but the references and full bibliography are maintained elsewhere: Google Scholar (currently 542 citations, h-index 10), MTMT and ResearchGate. The code for the articles is on GitHub unless otherwise noted.

2025

  1. A Privacy-preserving CCTV Video Processing Pipeline

    G. Gy. Gulyás, G. Erdődi

    The Tenth International Conference on Cyber-Technologies and Cyber-Systems (CYBER 2025)

  2. On the Protection of Face Recognition Embeddings

    G. Gy. Gulyás

    Advances on Societal Digital Transformation (DIGITAL 2025)

    How to protect fingerprints derived from face recognition. The same question underlies the VeriDome product.

2024

  1. A Case Study for Scoliosis: How MLOps Can Help Reduce AI Challenges in Health Care?

    G. Gy. Gulyás, J. Lapins, A. Cs. Kiss

    eTELEMED 2024

    Development and evaluation of the Posture Buddy (in Hungarian: Tartás Pajtás) screening tool based on computer vision, within the IML4E project.

  2. Screening for scoliosis with artificial intelligence

    Gulyás G. Gy., Kiss A. Cs., Morvay B. T., Béres B., Várfalvi M., Rákóczi I., Kovács E., Papp Cs., Zsuga J.

    Egészségügyi Innovációs Szemle 3(3), pp. 40–55.

    Testing the Posture Buddy tool supporting school nurse screening in a real environment, within the IML4E project.

2021

  1. A Comparative Study on the Privacy Risks of Face Recognition Libraries

    I. Fábián, G. Gy. Gulyás

    Acta Cybernetica 25(2), pp. 233–255.

    Comparison of freely downloadable face recognition libraries by privacy risk: what is revealed by tools anyone can use.

  2. Risk Mitigation of Facial Recognition

    I. Fábián, G. Gy. Gulyás

    Automation and Applied Computer Science Workshop 2021 (AACS'21)

  3. Technological issues of digital transformation — Our digital footprints, artificial intelligence, the rise of industrial IoT

    Magyar Gábor, Nemeslaki András, Szakadát István (szerk.)

    Budapest, Gondolat Kiadó, 2021. Chapter 2, pp. 19–171. (153 pages)

    The publication includes the following three studies:

  4. Anonymity issues of banking transactions

    T. P. Csarnó, G. Gy. Gulyás

    Study, commissioned by the Hungarian National Bank

    The study, prepared for the Hungarian National Bank, examines how to estimate the risk of anonymising banking transaction data: whether the protection is strong enough, and how many data subjects could be affected by a successful re-identification.

  5. Face recognition with privacy

    M. S. Kiséry, I. Fábián, G. Gy. Gulyás

    Study, commissioned by the Hungarian National Bank

  6. Digital footprints and their impact on the financial system

    Gulyás G., Gönczy L., Kocsis I., Magyar G., Papp D., Szűcs G.

2020

  1. De-anonymizing Facial Recognition Embeddings

    I. Fábián, G. Gy. Gulyás

    Infocommunications Journal 12(2), 50–56. o.

    Shows that a face recognition imprint is not anonymous data: it can be reverse-engineered to reveal whose face it is.

  2. On the Privacy Risks of Large-Scale Processing of Face Imprints

    I. Fábián, G. Gy. Gulyás

    12th Conference of PhD Students in Computer Science (CSCS 2020)

  3. Analysis of Demographic Attributes of Face Imprints

    I. Fábián, G. Gy. Gulyás, M. S. Kiséry

    Automation and Applied Computer Science Workshop 2020 (AACS'20)

2018

  1. To Extend or not to Extend: On the Uniqueness of Browser Extensions and Web Logins

    G. Gy. Gulyás, D. F. Somé, N. Bielova, C. Castelluccia

    Workshop on Privacy in the Electronic Society (WPES'18)

    Installed browser extensions and logged-in accounts together provide a unique fingerprint. The results were also presented by invitation at the European Parliament, and after publication, Google considered modifying Chrome.

  2. Hiding Information Against Structural Re-identification

    G. Gy. Gulyás, S. Imre

    International Journal of Information Security 18, pp. 125–139 — Q2 journal

    Post-peer-review, pre-copyedit version. The final, authenticated version is available from the publisher.

2017

  1. Application of machine learning methods for de-anonymisation

    Gulyás G. Gy.

    Információs Társadalom XVII. évf. (2017) 1. szám, pp. 72–86.

2016

  1. An Efficient and Robust Social Network De-anonymization Attack

    G. Gy. Gulyás, B. Simon, S. Imre

    Workshop on Privacy in the Electronic Society (WPES'16), alongside ACM CCS'16

    The Bumblebee attack: more correct re-identifications, fewer errors than previous methods. The attack can also be tried in the browser.

  2. Near-Optimal Fingerprinting with Constraints

    G. Gy. Gulyás, G. Ács, C. Castelluccia

    Proceedings on Privacy Enhancing Technologies, 2016/4

2015

  1. Using Identity Separation Against De-anonymization of Social Networks

    G. Gy. Gulyás, S. Imre

    Transactions on Data Privacy 8(2), 113–140.

  2. Protecting Privacy Against Structural De-anonymization Attacks in Social Networks

    G. Gy. Gulyás

    Doctoral dissertation, Budapest University of Technology and Economics

    The doctoral dissertation. It is about how to defend against being identified solely based on your social network.

    Abstract and defence details

    Successful defence: 13 May 2015. Supervisor: Sándor Imre, DSc, Budapest University of Technology and Economics, Department of Networked Systems and Services. Reviewers: Gergely Biczók and Julien Freudiger.

    Privacy is a fundamental issue in social networks. The hardest problem is how much identifying information is carried by the metadata: the network's graph structure. Cleaned social network data is sometimes shared with third parties, business partners or researchers. Previous research has developed de-anonymisation attacks that re-identify users from this structure alone. The dissertation deals with these attacks and defences against them.

2014

  1. Analysis of Grasshopper, a Novel Social Network De-anonymization Algorithm

    B. Simon, G. Gy. Gulyás, S. Imre

    Periodica Polytechnica Electrical Engineering and Computer Science 58(4)

  2. Measuring Importance of Seeding for Structural De-anonymization Attacks in Social Networks

    G. Gy. Gulyás, S. Imre

    6th IEEE International Workshop on Security and Social Networking (SESOC), alongside PerCom

2013

  1. Hiding Information in Social Networks from De-anonymization Attacks by Using Identity Separation

    G. Gy. Gulyás, S. Imre

    14th Joint IFIP TC6 and TC11 Conference on Communications and Multimedia Security (CMS 2013)

  2. Tracking and Fingerprinting in E-Business: New Storageless Technologies and Countermeasures

    K. Boda, Á. M. Földes, G. Gy. Gulyás, S. Imre

    Research and Development in E-Business through Service-Oriented Solutions (eds. Tarnay K., Xu L., Imre S.), IGI Global

2012

  1. Measuring Local Topological Anonymity in Social Networks

    G. Gy. Gulyás, S. Imre

    PinSoDa: Workshop on Privacy in Social Data, IEEE ICDM 2012, Brussels

    The cited version is corrected: in Figure 3, the correlation is now calculated only for nodes that exist at the same time.

2011

  1. User Tracking on the Web via Cross-Browser Fingerprinting

    K. Boda, Á. M. Földes, G. Gy. Gulyás, S. Imre

    NordSec 2011, Tallinn, Estonia

    My colleagues and I were the first to raise here that a user can be identified regardless of their browser. My most cited article.

  2. Separating Private and Business Identities

    G. Gy. Gulyás, R. Schulcz, S. Imre

    Digital Identity and Access Management: Technologies and Frameworks, IGI Global

  3. Analysis of Identity Separation Against a Passive Clique-Based De-anonymization Attack

    G. Gy. Gulyás, S. Imre

    Infocommunications Journal III(4)

  4. StegoWeb: Towards the Ideal Private Web Content Publishing Tool

    T. Besenyei, Á. M. Földes, G. Gy. Gulyás, S. Imre

    SECURWARE 2011, St-Laurent-du-Var, France

2010

  1. BlogCrypt: Private Content Publishing on the Web

    T. Paulik, Á. M. Földes, G. Gy. Gulyás

    SECURWARE 2010, Venice, Italy

2009

  1. Modeling Role-Based Privacy in Social Networking Services

    G. Gy. Gulyás, R. Schulcz, S. Imre

    SECURWARE 2009, Athens, Greece

  2. Design of an Anonymous Instant Messaging Service

    G. Gy. Gulyás

    PET Convention 2009.1, Dresden, Germany

2008

  1. Comprehensive Analysis of Web Privacy and Anonymous Web Browsers: Are Next Generation Services Based on Collaborative Filtering?

    G. Gy. Gulyás, R. Schulcz, S. Imre

    Joint SPACE and TIME Workshops, Trondheim, Norway, pp. 17–31.

  2. Next Generation of Anonymous Web Browsers: A Bit Closer to Democracy?

    Gulyás G. Gy.

    Studies on Information and Knowledge Process 13. (ed. Ferenc Kiss)

  3. Privacy protection using role-based identity management in chat services

    Gulyás G. Gy.

    Free Data, Protected Data 2. (ed. Iván Székely)

  4. Current threats to electronic mail – or what can we do for security

    Kóbor A., Gulyás G. Gy., Schulcz R.

    Free Data, Protected Data 2. (ed. Iván Székely)

2007

  1. Next-generation anonymous browsers

    Gulyás G. Gy., Schulcz R.

    Híradástechnika, 2007

2006

  1. Are anonymous browsers really anonymous? Analysis of technologies and services

    Gulyás G. Gy.

    Alma Mater series on information and knowledge processes 10. (ed. Ferenc Kiss), pp. 9–30.

  2. Questions of anonymity and privacy in chat services

    Gulyás G. Gy.

    Studies on Information and Knowledge Processes 11. (ed. Ferenc Kiss)

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