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A Measurement Study on the Advertisements Displayed to Web Users Coming from the Regular Web and from Tor.

, , and . EuroS&P Workshops, page 494-499. IEEE, (2020)

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Towards Detecting Compromised Accounts on Social Networks., , , and . CoRR, (2015)EVILCOHORT: Detecting Communities of Malicious Accounts on Online Services., , , , , and . USENIX Security Symposium, page 563-578. USENIX Association, (2015)Travelling Information For Intrusion Prevention Systems., and . Security and Management, page 23-29. CSREA Press, (2010)Tiresias: Predicting Security Events Through Deep Learning., , , and . CoRR, (2019)On the Origins of Memes by Means of Fringe Web Communities., , , , , , and . Internet Measurement Conference, page 188-202. ACM, (2018)Detecting Cyberbullying and Cyberaggression in Social Media., , , , , , and . ACM Trans. Web, 13 (3): 17:1-17:51 (2019)Automatically Dismantling Online Dating Fraud., , , , , and . CoRR, (2019)Eight Years of Rider Measurement in the Android Malware Ecosystem., and . IEEE Trans. Dependable Secur. Comput., 19 (1): 107-118 (2022)Understanding Worldwide Private Information Collection on Android., , and . NDSS, The Internet Society, (2021)To Err.Is Human: Characterizing the Threat of Unintended URLs in Social Media., , , , and . NDSS, The Internet Society, (2021)