Adversarial Patterns: Building Robust Android Malware Classifiers

Adversarial Patterns: Building Robust Android Malware Classifiers

4 March 2022

Dipkamal Bhusal

Nidhi Rastogi

Papers citing "Adversarial Patterns: Building Robust Android Malware Classifiers"

6 / 6 papers shown

Title
Machine Learning Security in Industry: A Quantitative Survey Kathrin Grosse L. Bieringer Tarek R. Besold Battista Biggio Katharina Krombholz 24 31 0 11 Jul 2022
Problem-Space Evasion Attacks in the Android OS: a Survey Harel Berger Chen Hajaj A. Dvir 11 2 0 29 May 2022
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 222 1,818 0 03 Feb 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 137 2,701 0 18 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015