Hiding Your Face Is Not Enough: user identity linkage with image recognition

被引:5
作者
Ranaldi, Leondardo [1 ]
Zanzotto, Fabio Massimo [2 ]
机构
[1] Guglielmo Marconi Univ, Dept Innovat & Informat Engn DIIE, Via Plinio 44, I-00193 Rome, Italy
[2] Univ Roma Tor Vergata, Ctr Language & Knowledge CLaK, Viale Politecn 1, I-00133 Rome, Italy
关键词
Social networks; User identity linkage; Entity matching; Online social network privacy; Machine learning; Web mining;
D O I
10.1007/s13278-020-00673-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
People tend to have multiple identities or personalities in theirreal and on-linelives. In the real life, these identities can be even associated with different names used with parents, groups of friends or in formal contexts. In the on-line side of life, the attitude has exploded: people have the possibility to express different identities with different names in different social networks (SNs), interfacing with these tools claiming the same meaning as the actions and connections in real life. Thus, a fundamental question arises-Can profiles of the same user be connected in multiple SNs?In this paper, we present Hiding Your Face Is Not Enough (HYFINE) model: a User Identity Linking model that fully exploits images in profiles. Our HYFINE model consists of two parts: (1) the corpus extraction system; (2) the classification systemHYFINE-c, which classify if two profiles to determine if these profiles are two different identities of the same user by fully using images along with other features. We show that HYFINE model, exploiting images in profiles, can match profiles of the users in different SNs with high performance.
引用
收藏
页数:9
相关论文
共 27 条
[1]  
Ahmad Z, 2018, DIALECTOLOGIA, P1
[2]  
[Anonymous], Sov. Phys. Doklady
[3]  
[Anonymous], 2003, IIWeb
[4]   SUPPORT-VECTOR NETWORKS [J].
CORTES, C ;
VAPNIK, V .
MACHINE LEARNING, 1995, 20 (03) :273-297
[5]  
Goga O., 2014, Matching User Accounts Across Online Social Networks: Methods and Applications
[6]  
Halimi A, 2017, ARXIV171101815 CORR
[7]   ERROR DETECTING AND ERROR CORRECTING CODES [J].
HAMMING, RW .
BELL SYSTEM TECHNICAL JOURNAL, 1950, 29 (02) :147-160
[8]   Investigation of Biases in Identity Linkage DataSets [J].
Kaushal, Rishabh ;
Gupta, Shubham ;
Kumaraguru, Ponnurangam .
PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20), 2020, :1861-1868
[9]  
King DE, 2009, J MACH LEARN RES, V10, P1755
[10]   An efficient reconciliation algorithm for social networks [J].
Korula, Nitish ;
Lattanzi, Silvio .
PROCEEDINGS OF THE VLDB ENDOWMENT, 2014, 7 (05) :377-388