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Share a pie?: Privacy-Preserving Knowledge Base Export through Count-min Sketches.

, , and . CODASPY, page 95-106. ACM, (2017)

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The goods, the bads and the uglies: Supporting decisions in malware detection through visual analytics., , , , and . VizSEC, page 1-8. IEEE Computer Society, (2017)Survey of machine learning techniques for malware analysis., , and . Comput. Secur., (2019)Share a pie?: Privacy-Preserving Knowledge Base Export through Count-min Sketches., , and . CODASPY, page 95-106. ACM, (2017)Towards the Usage of Invariant-Based App Behavioral Fingerprinting for the Detection of Obfuscated Versions of Known Malware., , , , and . NGMAST, page 121-126. IEEE, (2016)Building a Collaborative Phone Blacklisting System with Local Differential Privacy., , , and . CoRR, (2020)Survey on the Usage of Machine Learning Techniques for Malware Analysis., , and . CoRR, (2017)Android malware family classification based on resource consumption over time., , , , , and . MALWARE, page 31-38. IEEE Computer Society, (2017)AndroDFA: Android Malware Classification Based on Resource Consumption., , , , , and . Inf., 11 (6): 326 (2020)A Software Architecture for Progressive Scanning of On-line Communities., , , and . ICDCS Workshops, page 207-212. IEEE Computer Society, (2014)An Architecture for Semi-Automatic Collaborative Malware Analysis for CIs., , , and . DSN Workshops, page 137-142. IEEE Computer Society, (2016)