Data Science Methodology for Cybersecurity Projects
Authors: Farhad Foroughi, Peter Luksch | Published: 2018-03-12
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
Authors: Bojan Kolosnjaji, Ambra Demontis, Battista Biggio, Davide Maiorca, Giorgio Giacinto, Claudia Eckert, Fabio Roli | Published: 2018-03-12
BEBP: An Poisoning Method Against Machine Learning Based IDSs
Authors: Pan Li, Qiang Liu, Wentao Zhao, Dongxu Wang, Siqi Wang | Published: 2018-03-11
Combating Adversarial Attacks Using Sparse Representations
Authors: Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani | Published: 2018-03-11 | Updated: 2018-07-13
Variance Networks: When Expectation Does Not Meet Your Expectations
Authors: Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov | Published: 2018-03-10 | Updated: 2019-02-18
Detecting Adversarial Examples – A Lesson from Multimedia Forensics
Authors: Pascal Schöttle, Alexander Schlögl, Cecilia Pasquini, Rainer Böhme | Published: 2018-03-09
Homomorphic Encryption for Speaker Recognition: Protection of Biometric Templates and Vendor Model Parameters
Authors: Andreas Nautsch, Sergey Isadskiy, Jascha Kolberg, Marta Gomez-Barrero, Christoph Busch | Published: 2018-03-09
Explaining Black-box Android Malware Detection
Authors: Marco Melis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli | Published: 2018-03-09 | Updated: 2018-10-29
Generating Artificial Data for Private Deep Learning
Authors: Aleksei Triastcyn, Boi Faltings | Published: 2018-03-08 | Updated: 2019-04-28
Stochastic Activation Pruning for Robust Adversarial Defense
Authors: Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Anima Anandkumar | Published: 2018-03-05