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UCognito: Private Browsing without Tears.

, , , , and . ACM Conference on Computer and Communications Security, page 438-449. ACM, (2015)

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Mining in a Data-Flow Environment: Experience in Network Intrusion Detection., , and . KDD, page 114-124. ACM, (1999)A cooperative intrusion detection system for ad hoc networks., and . SASN, page 135-147. ACM, (2003)Data Mining-based Intrusion Detectors: An Overview of the Columbia IDS Project., , , , and . SIGMOD Record, 30 (4): 5-14 (2001)Environment-Sensitive Intrusion Detection., , , , and . RAID, volume 3858 of Lecture Notes in Computer Science, page 185-206. Springer, (2005)A Data Mining and CIDF Based Approach for Detecting Novel and Distributed Intrusions., , , , , , and . Recent Advances in Intrusion Detection, volume 1907 of Lecture Notes in Computer Science, page 49-65. Springer, (2000)Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach., , , , , , and . CoRR, (2020)The Creation and Detection of Deepfakes: A Survey., and . ACM Comput. Surv., 54 (1): 7:1-7:41 (2022)Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection., , , , and . CoRR, (2023)Toward Cost-Sensitive Modeling for Intrusion Detection and Response., , , , and . J. Comput. Secur., 10 (1/2): 5-22 (2002)Stochastic Dynamic Information Flow Tracking Game with Reinforcement Learning., , , , , and . GameSec, volume 11836 of Lecture Notes in Computer Science, page 417-438. Springer, (2019)