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Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning.

D. Gibert, M. Fredrikson, C. Mateu, J. Planes, and Q. Le. Comput. Secur., (2022)

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Generating Hard SAT/CSP Instances Using Expander Graphs.C. Ansótegui, R. Béjar, C. Fernández, and C. Mateu. AAAI, page 1442-1443. AAAI Press, (2008)Using convolutional neural networks for classification of malware represented as images.D. Gibert, C. Mateu, J. Planes, and R. Vicens. J. Computer Virology and Hacking Techniques, 15 (1): 15-28 (2019)Approximate dynamic programming for automated vacuum waste collection systems.C. Fernández, F. Manyà, C. Mateu, and F. Sole-Mauri. Environmental Modelling and Software, (2015)An End-to-End Deep Learning Architecture for Classification of Malware's Binary Content.D. Gibert, C. Mateu, and J. Planes. ICANN (3), volume 11141 of Lecture Notes in Computer Science, page 383-391. Springer, (2018)Weighted argumentation for analysis of discussions in Twitter.T. Alsinet, J. Argelich, R. Béjar, C. Fernández, C. Mateu, and J. Planes. Int. J. Approx. Reasoning, (2017)Solving Routing and Wavelength Assignment Problem with Conflict-Driven ASP Solvers.R. Béjar, C. Fernández, C. Mateu, and F. Guitart. CCIA, volume 256 of Frontiers in Artificial Intelligence and Applications, page 60-63. IOS Press, (2013)On 2SAT-MaxOnes with Unbalanced Polarity: from Easy Problems to Hard MaxClique Problems.J. Argelich, R. Béjar, C. Fernández, and C. Mateu. CCIA, volume 232 of Frontiers in Artificial Intelligence and Applications, page 21-30. IOS Press, (2011)The Sudoku completion problem with rectangular hole pattern is NP-complete.R. Béjar, C. Fernández, C. Mateu, and M. Valls. Discrete Mathematics, 312 (22): 3306-3315 (2012)Generating highly balanced sudoku problems as hard problems.C. Ansótegui, R. Béjar, C. Fernández, C. Gomes, and C. Mateu. J. Heuristics, 17 (5): 589-614 (2011)Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning.D. Gibert, M. Fredrikson, C. Mateu, J. Planes, and Q. Le. Comput. Secur., (2022)

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Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning.

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Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning.