TY  - JOUR
AU  - Fábián, István
AU  - Gulyás, Gábor György
TI  - A Comparative Study on the Privacy Risks of Face Recognition Libraries
JF  - ACTA CYBERNETICA
J2  - ACTA CYBERN-SZEGED
VL  - 25
PY  - 2021
IS  - 2
SP  - 233
EP  - 255
PG  - 23
SN  - 0324-721X
DO  - 10.14232/actacyb.289662
UR  - https://m2.mtmt.hu/api/publication/32532422
ID  - 32532422
N1  - Export Date: 2 May 2022            
            CODEN: ACCYD
LA  - English
DB  - MTMT
ER  - 

TY  - BOOK
AU  - Fábián, István
AU  - Gulyás, Gábor György
TI  - Risk Mitigation of Facial Recognition
PB  - Budapesti Műszaki Egyetem, Automatizálási és Alkalmazott Informatikai Tanszék
CY  - Budapest
PY  - 2021
UR  - https://m2.mtmt.hu/api/publication/32038979
ID  - 32038979
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Fábián, István
AU  - Gulyás, Gábor György
AU  - Kiséry, Máté Soma
ED  - Dunaev, Dmitriy
ED  - Gulyás, Gábor György
ED  - Vajk, István
TI  - Analysis of Demographic Attributes of Face Imprints
T2  - Proceedings of the Automation and Applied Computer Science Workshop 2020
PB  - Budapesti Műszaki és Gazdaságtudományi Egyetem, Villamosmérnöki és Informatikai Kar
CY  - Budapest
SN  - 9789634218166
PY  - 2020
SP  - 136
EP  - 145
PG  - 10
UR  - https://m2.mtmt.hu/api/publication/31721503
ID  - 31721503
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Fábián, István
AU  - Gulyás, Gábor György
TI  - De-anonymizing Facial Recognition Embeddings
JF  - INFOCOMMUNICATIONS JOURNAL
J2  - INFOCOMM J
VL  - 12
PY  - 2020
IS  - 2
SP  - 50
EP  - 56
PG  - 7
SN  - 2061-2079
DO  - 10.36244/ICJ.2020.2.7
UR  - https://m2.mtmt.hu/api/publication/31615403
ID  - 31615403
N1  - Cited By :3            
            Export Date: 14 June 2022
AB  - Advances of machine learning and hardware getting cheaper resulted in smart cameras equipped with facial recognition becoming unprecedentedly widespread worldwide. Undeniably, this has a great potential for a wide spectrum of uses, it also bears novel risks. In our work, we consider a specific related risk, one related to face embeddings, which are machine learning created metric values describing the face of a person. While embeddings seems arbitrary numbers to the naked eye and are hard to interpret for humans, we argue that some basic demographic attributes can be estimated from them and these values can be then used to look up the original person on social networking sites. We propose an approach for creating synthetic, life-like datasets consisting of embeddings and demographic data of several people. We show over these ground truth datasets that the aforementioned re-identifications attacks do not require expert skills in machine learning in order to be executed. In our experiments, we find that even with simple machine learning models the proportion of successfully re-identified people vary between 6.04% and 28.90%, depending on the population size of the simulation.
LA  - English
DB  - MTMT
ER  - 

TY  - CONF
AU  - Fábián, István
AU  - Gulyás, Gábor György
TI  - On the Privacy Risks of Large-Scale Processing of Face Imprints
T2  - The 12th Conference of PhD Students in Computer Science
PB  - Szegedi Tudományegyetem (SZTE)
C1  - Szeged
PY  - 2020
SP  - 92
EP  - 95
PG  - 4
UR  - https://m2.mtmt.hu/api/publication/31331712
ID  - 31331712
AB  - As technology advances, the number of applications relying on face recognition is on the rise. While facial recognition technologies have many benefits, it's important to use them in a responsible manner in order to avoid privacy risks. In this paper we analyze the privacy risks of the processing of face imprints generated by face recognition technologies. We characterize the risks of re-identification attacks against facial imprint databases in multiple scenarios regarding different attacker strength. Our findings show that even if a large number of subjects are surveilled and the attacker can only inefficiently benefit from using the embeddings, the risk of re-identification is still concerning.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Fábián, István
AU  - Kovács, Viktória Barbara
ED  - Gróf, Gyula István
TI  - The life cycle assessment of the “Liveable Future Park” in Fót
T2  - 13th International Conference on Heat Engines and Environmental Protection Proceedings
PB  - BME Energetikai Gépek és Rendszerek Tanszék
CY  - Budapest
SN  - 9789633132807
PY  - 2019
SP  - 43
EP  - 49
PG  - 7
UR  - https://m2.mtmt.hu/api/publication/3339964
ID  - 3339964
LA  - English
DB  - MTMT
ER  -