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Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning., , , , , and . WSDM, page 34-42. ACM, (2020)Securing Social Media User Data: An Adversarial Approach., , , and . HT, page 165-173. ACM, (2018)Privacy Preserving Text Representation Learning., , , , and . HT, page 275-276. ACM, (2019)Signed Link Analysis in Social Media Networks., , and . ICWSM, page 539-542. AAAI Press, (2016)A Study of Reddit-User's Response to Rape., , , , and . ASONAM, page 591-592. IEEE Computer Society, (2018)Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference., , and . EMNLP/IJCNLP (1), page 2360-2369. Association for Computational Linguistics, (2019)PPSL: Privacy-Preserving Text Classification for Split Learning., , , and . ICDIS, page 160-167. IEEE, (2022)A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts., , , , , , and . ICDIS, page 26-33. IEEE, (2020)Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles., , , , and . WSDM, page 213-221. ACM, (2019)"Identifying novel privacy issues of online users on social media platforms" by Ghazaleh Beigi and Huan Liu with Martin Vesely as coordinator., and . SIGWEB Newsl., 2019 (Winter): 4:1-4:7 (2019)