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Catching Worms, Trojan Horses and PUPs: Unsupervised Detection of Silent Delivery Campaigns.

, , , and . NDSS, The Internet Society, (2017)

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SharkFin: Spatio-temporal mining of software adoption and penetration., , , , and . Soc. Netw. Anal. Min., 4 (1): 240 (2014)Fault-Tolerant Middleware and the Magical 1%., and . Middleware, volume 3790 of Lecture Notes in Computer Science, page 431-441. Springer, (2005)Peek-a-boo: Inferring program behaviors in a virtualized infrastructure without introspection., , , and . Comput. Secur., (2018)Improving the Dependability of Distributed Systems through AIR Software Upgrades.. Carnegie Mellon University, USA, (2010)When Malware Changed Its Mind: An Empirical Study of Variable Program Behaviors in the Real World., , , , and . USENIX Security Symposium, page 3487-3504. USENIX Association, (2021)Catching Worms, Trojan Horses and PUPs: Unsupervised Detection of Silent Delivery Campaigns., , , and . NDSS, The Internet Society, (2017)Patch Me If You Can: A Study on the Effects of Individual User Behavior on the End-Host Vulnerability State., , , , and . PAM, volume 10176 of Lecture Notes in Computer Science, page 113-125. Springer, (2017)Toward Semantic Cryptography APIs., , , and . SecDev, page 9-14. IEEE Computer Society, (2016)Shallow-Deep Networks: Understanding and Mitigating Network Overthinking., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3301-3310. PMLR, (2019)The Attack of the Clones: A Study of the Impact of Shared Code on Vulnerability Patching., , , , and . IEEE Symposium on Security and Privacy, page 692-708. IEEE Computer Society, (2015)