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Finding Sensitive Accounts on Twitter: An Automated Approach Based on Follower Anonymity.

, , and . ICWSM, page 655-658. AAAI Press, (2016)

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On the Privacy of Web Search Based on Query Obfuscation: A Case Study of TrackMeNot., and . Privacy Enhancing Technologies, volume 6205 of Lecture Notes in Computer Science, page 19-37. Springer, (2010)On the effectiveness of anonymizing networks for web search privacy., and . AsiaCCS, page 483-489. ACM, (2011)Web search query privacy: Evaluating query obfuscation and anonymizing networks., and . Journal of Computer Security, 22 (1): 155-199 (2014)Understanding Sensitivity by Analyzing Anonymity [Guest editor's introduction]., , , and . IEEE Security & Privacy, 13 (2): 14-21 (2015)On the limitations of query obfuscation techniques for location privacy., and . UbiComp, page 187-196. ACM, (2011)Cover locations: availing location-based services without revealing the location., , and . WPES, page 143-152. ACM, (2011)Cloak and Swagger: Understanding Data Sensitivity through the Lens of User Anonymity., , , and . IEEE Symposium on Security and Privacy, page 493-508. IEEE Computer Society, (2014)Finding Sensitive Accounts on Twitter: An Automated Approach Based on Follower Anonymity., , and . ICWSM, page 655-658. AAAI Press, (2016)Mining Anonymity: Identifying Sensitive Accounts on Twitter., , and . CoRR, (2017)Stalking Beijing from Timbuktu: A Generic Measurement Approach for Exploiting Location-Based Social Discovery., , and . SPSM@CCS, page 75-80. ACM, (2014)