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Most previous works in privacy of Online Social Networks (OSN) focus on a restricted scenario of using one type of information to infer another type of information or using only static profile data such as username, profile picture or home location.
Friends and neighbors on the web
Lada A Adamic and Eytan Adar. 2003 · 2003
Earlier work this paper cites.
Link Mining: A Survey
Lise Getoor and Christopher P. Diehl. 2005 · 2005
Earlier work this paper cites.
Information revelation and privacy in online social networks. In Proceedings of the 2005 ACM workshop on Privacy in the electronic society
Ralph Gross and Alessandro Acquisti. 2005 · 2005
Earlier work this paper cites.
The link-prediction problem for social networks
David Liben-Nowell and Jon Kleinberg. 2007 · 2007
Earlier work this paper cites.
Predicting Social Security numbers from public data
Alessandro Acquisti and Ralph Gross. 2009 · 2009
Earlier work this paper cites.
Inferring friendship network structure by using mobile phone data
Nathan Eagle, Alex Sandy Pentland, and David Lazer. 2009 · 2009
Earlier work this paper cites.
De-anonymizing social networks. In Security and Privacy, 2009 30th IEEE Symposium on
Arvind Narayanan and Vitaly Shmatikov. 2009 · 2009
Earlier work this paper cites.
Inferring social ties from geographic coincidences
David J Crandall, Lars Backstrom, Dan Cosley, Siddharth Suri, Daniel Huttenlocher, and Jon Kleinberg. 2010 · 2010
Earlier work this paper cites.
Friendship and mobility: user movement in location-based social networks. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Eunjoon Cho, Seth A Myers, and Jure Leskovec. 2011 · 2011
Earlier work this paper cites.
Link prediction in complex networks: A survey
Linyuan Lü and Tao Zhou. 2011 · 2011
Earlier work this paper cites.
Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge
Arvind Narayanan, Elaine Shi, and Benjamin I. P. Rubinstein. 2011 · 2011
Earlier work this paper cites.
Exploiting place features in link prediction on location-based social networks. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Salvatore Scellato, Anastasios Noulas, and Cecilia Mascolo. 2011 · 2011
Earlier work this paper cites.
Facebook Users Have Become Much More Private: A Large-Scale Study. In Proc. 2012 IEEE International Conference on Pervasive Computing and Communications Workshops
Ratan Dey, Zubin Jelveh, and Keith Ross. 2012 · 2012
Earlier work this paper cites.
Ebm: an entropy-based model to infer social strength from spatiotemporal data. In Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Huy Pham, Cyrus Shahabi, and Yan Liu. 2013 · 2013
Earlier work this paper cites.
A methodology for mapping Instagram hashtags
Tim Highfield and Tama Leaver. 2014 · 2014
Earlier work this paper cites.
Hydra: Large-scale social identity linkage via heterogeneous behavior modeling. In Proceedings of the 2014 ACM SIGMOD international conference on Management of data
Siyuan Liu, Shuhui Wang, Feida Zhu, Jinbo Zhang, and Ramayya Krishnan. 2014 · 2014
Earlier work this paper cites.
PGT: Measuring mobility relationship using personal, global and temporal factors. In Data Mining (ICDM), 2014 IEEE International Conference on
Hongjian Wang, Zhenhui Li, and Wang-Chien Lee. 2014 · 2014
Cited alongside, same era.
On the reliability of profile matching across large online social networks. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Oana Goga, Patrick Loiseau, Robin Sommer, Renata Teixeira, and Krishna P Gummadi. 2015 · 2015
Cited alongside, same era.
Face/Off: Preventing Privacy Leakage From Photos in Social Networks. In Proceedings of the 22Nd ACM SIGSAC Conference on Computer and Communications Security
Panagiotis Ilia, Iasonas Polakis, Elias Athanasopoulos, Federico Maggi, and Sotiris Ioannidis. 2015 · 2015
Cited alongside, same era.
Portrait of a Privacy Invasion
Yan Shoshitaishvili, Christopher Kruegel, and Giovanni Vigna. 2015 · 2015
Cited alongside, same era.
Dawn of the selfie era: The whos, wheres, and hows of selfies on Instagram. In Proc. 3rd ACM Conference on Online Social Networks (COSN)
Beyond Binary Labels: Political Ideology Prediction of Twitter Users. In ACL
Daniel Preotiuc-Pietro, Liu Ye, Daniel Hopkins, and Lyle H. Ungar. 2017 · 2017
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Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Chenhao Tan, Dallas Card, and Noah A. Smith. 2017 · 2017
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How the NSA is tracking people right now
TWP 2017 · 2017
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Places: A 10 million Image Database for Scene Recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba. 2017 · 2017
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Graph embedding techniques, applications, and performance: A survey
Palash Goyal and Emilio Ferrara. 2018 · 2018
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Flavio Souza, Diego de Las Casas, Vinicius Flores, SunBum Youn, Meeyoung Cha, Daniele Quercia, and Virgilio Almeida. 2015 · 2015
Cited alongside, same era.
Link prediction in social networks: the state-of-the-art
Peng Wang, BaoWen Xu, YuRong Wu, and XiaoYu Zhou. 2015 · 2015
Cited alongside, same era.
You are who you know and how you behave: Attribute inference attacks via users’ social friends and behaviors. In 25th USENIX Security Symposium (USENIX Security 16)
Neil Zhenqiang Gong and Bin Liu. 2016 · 2016
Cited alongside, same era.
node2vec: Scalable Feature Learning for Networks. In Proc. 22nd ACM Conference on Knowledge Discovery and Data Mining (KDD)
Aditya Grover and Jure Leskovec. 2016 · 2016
Cited alongside, same era.
Teens Are from Mars, Adults Are from Venus: Analyzing and Predicting Age Groups with Behavioral Characteristics in Instagram. In Proceedings of the 8th ACM Conference on Web Science (WebSci)
Kyungsik Han, Sanghack Lee, Jin Yea Jang, Yong Jung, and Dongwon Lee. 2016 · 2016
Cited alongside, same era.
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Cited alongside, same era.
Extending the network: The influence of offline friendship on Twitter network. AIS
Young Soo KIM, Kyungsub Stephen Choi, and Felicia Natali. 2016 · 2016
Cited alongside, same era.
Fetishizing food in digital age: #foodporn around the world. In Proceedings of the 10th International Conference on Weblogs and Social Media (ICWSM)
Yelena Mejova, Sofiane Abbar, and Hamed Haddadi. 2016 · 2016
Cited alongside, same era.
Attriguard: A practical defense against attribute inference attacks via adversarial machine learning. In 27th { \{ USENIX } \} Security Symposium ( { \{ USENIX } \} Security 18)
Jinyuan Jia and Neil Zhenqiang Gong. 2018 · 2018
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Disentangled person image generation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, and Mario Fritz. 2018 · 2018
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Connecting pixels to privacy and utility: Automatic redaction of private information in images. In Conference on Computer Vision and Pattern Recognition (CVPR)
Tribhuvanesh Orekondy, Mario Fritz, and Bernt Schiele. 2018 · 2018
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Automatic feature selection for supervised learning in link prediction applications: a comparative study
Antonio Pecli, Maria Claudia Cavalcanti, and Ronaldo Goldschmidt. 2018 · 2018
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Beatrice Perez, Mirco Musolesi, and Gianluca Stringhini. 2018 · 2018
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A Hybrid Model for Identity Obfuscation by Face Replacement
Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, and Bernt Schiele. 2018 · 2018
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Tagvisor: A Privacy Advisor for Sharing Hashtags. In WWW
Yang Zhang, Mathias Humbert, Tahleen Rahman, Cheng-Te Li, Jun Pang, and Michael Backes. 2018 · 2018
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Fan Zhou, Bangying Wu, Yi Yang, Goce Trajcevski, Kunpeng Zhang, and Ting Zhong. 2018 · 2018
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Fairwalk: Towards Fair Graph Embedding. In Proceedings of the 2019 International Joint Conferences on Artifical Intelligence (IJCAI)
Tahleen Rahman, Bartlomiej Surma, Michael Backes, and Yang Zhang. 2019 · 2019
Later among the works it cites.
Language in Our Time: An Empirical Analysis of Hashtags. In The World Wide Web Conference
Yang Zhang. 2019 · 2019
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