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Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack


Apr 13, 2021
Luca Pajola, Mauro Conti

* Accepted to appear in the Proceedings of the 2021 IEEE European Symposium on Security and Privacy (EUROS&P) 

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A Machine Learning-based Approach to Detect Threats in Bio-Cyber DNA Storage Systems


Sep 28, 2020
Federico Tavella, Alberto Giaretta, Mauro Conti, Sasitharan Balasubramaniam

* 12 pages, 21 figures 

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Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features


Aug 13, 2019
Rahim Taheri, Meysam Ghahramani, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Mauro Conti

* 18 pages, 8 figures, 8 tables, FGCS Elsevier journal 

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On Defending Against Label Flipping Attacks on Malware Detection Systems


Aug 13, 2019
Rahim Taheri, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Ali Miri, Mauro Conti

* 19 pages, 6 figures, 2 tables, NCAA Springer Journal 

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Can Machine Learning Model with Static Features be Fooled: an Adversarial Machine Learning Approach


Apr 20, 2019
Rahim Taheri, Reza Javidan, Mohammad Shojafar, Vinod P, Mauro Conti

* 20 pages, 6 figures, 5 tables 

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All You Need is "Love": Evading Hate-speech Detection


Nov 05, 2018
Tommi Gröndahl, Luca Pajola, Mika Juuti, Mauro Conti, N. Asokan

* 11 pages, Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security (AISec) 2018 

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FeatureAnalytics: An approach to derive relevant attributes for analyzing Android Malware


Sep 17, 2018
Deepa K, Radhamani G, Vinod P, Mohammad Shojafar, Neeraj Kumar, Mauro Conti

* 26 pages, 6 figures, 9 tables, Journal Submission 

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