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Hopper: Modeling and Detecting Lateral Movement.

, , , , , , and . USENIX Security Symposium, page 3093-3110. USENIX Association, (2021)

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Tick Tock: Building Browser Red Pills from Timing Side Channels., , , and . WOOT, USENIX Association, (2014)Ad Injection at Scale: Assessing Deceptive Advertisement Modifications., , , , , , , , , and 2 other author(s). IEEE Symposium on Security and Privacy, page 151-167. IEEE Computer Society, (2015)Hopper: Modeling and Detecting Lateral Movement (Extended Report)., , , , , , and . CoRR, (2021)Thwarting Sophisticated Enterprise Attacks: Data-Driven Methods and Insights.. University of California, Berkeley, USA, (2020)Remedying Web Hijacking: Notification Effectiveness and Webmaster Comprehension., , , , , , , and . WWW, page 1009-1019. ACM, (2016)Hopper: Modeling and Detecting Lateral Movement., , , , , , and . USENIX Security Symposium, page 3093-3110. USENIX Association, (2021)Improved lost frame recovery techniques for ITU-T G.723.1 speech coding system., , and . EUSIPCO, page 1-4. IEEE, (1998)Unfiltered: Measuring Cloud-based Email Filtering Bypasses., , , , and . WWW, page 1702-1711. ACM, (2024)Understanding the Viability of Gmail's Origin Indicator for Identifying the Sender., , , , , , and . SOUPS, page 77-95. USENIX Association, (2023)Detecting and Characterizing Lateral Phishing at Scale., , , , , , , and . USENIX Security Symposium, page 1273-1290. USENIX Association, (2019)