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Comprehensive Analysis and Detection of Flash-Based Malware.

, , , and . DIMVA, volume 9721 of Lecture Notes in Computer Science, page 101-121. Springer, (2016)

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Dos and Don'ts of Machine Learning in Computer Security., , , , , , , and . CoRR, (2020)Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning., , , , and . USENIX Security Symposium, page 1363-1380. USENIX Association, (2020)Dos and Don'ts of Machine Learning in Computer Security., , , , , , , and . USENIX Security Symposium, page 3971-3988. USENIX Association, (2022)Privacy-Enhanced Fraud Detection with Bloom Filters., , , , and . SecureComm (1), volume 254 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 396-415. Springer, (2018)Efficient and Explainable Detection of Mobile Malware with Machine Learning.. Braunschweig University of Technology, Germany, (2019)Don't Paint It Black: White-Box Explanations for Deep Learning in Computer Security., , , and . CoRR, (2019)Evaluating Explanation Methods for Deep Learning in Security., , , and . EuroS&P, page 158-174. IEEE, (2020)Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification., , , , and . CoRR, (2020)TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)., , , , , , , and . CoRR, (2024)Erkennung mobiler Schadsoftware mit maschinellen Lernverfahren.. Ausgezeichnete Informatikdissertationen, volume D-20 of LNI, GI, (2019)