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Malware is constantly adapting in order to avoid detection.
Space/time trade-offs in hash coding with allowable errors
Burton H Bloom · 1970
Earlier work this paper cites.
Data mining methods for detection of new malicious executables
Matthew G Schultz, Eleazar Eskin, F Zadok, and Salvatore J Stolfo · 2001
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Adversarial machine learning
Ling Huang, Anthony D Joseph, Blaine Nelson, Benjamin IP Rubinstein, and JD Tygar · 2011
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Large-scale malware classification using random projections and neural networks
George E Dahl, Jack W Stokes, Li Deng, and Dong Yu · 2013
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
Earlier work this paper cites.
Droid-sec: deep learning in android malware detection
Zhenlong Yuan, Yongqiang Lu, Zhaoguo Wang, and Yibo Xue · 2014
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Deep neural network based malware detection using two dimensional binary program features
Joshua Saxe and Konstantin Berlin · 2015
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Adversarial perturbations against deep neural networks for malware classification
Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, and Patrick McDaniel · 2016
Earlier work this paper cites.
Adversarial machine learning at scale
Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 2016
Earlier work this paper cites.
The limitations of deep learning in adversarial settings
Nicolas Papernot, Patrick McDaniel, Somesh Jha, Matt Fredrikson, Z Berkay Celik, and Ananthram Swami · 2016
Cited alongside, same era.
Automatically evading classifiers
Weilin Xu, Yanjun Qi, and David Evans · 2016
Cited alongside, same era.
Evading machine learning malware detection
Hyrum S Anderson, Anant Kharkar, Bobby Filar, and Phil Roth · 2017
Cited alongside, same era.
Wild patterns: Ten years after the rise of adversarial machine learning
Battista Biggio and Fabio Roli · 2017
Cited alongside, same era.
Adversarial examples are not easily detected: Bypassing ten detection methods
Nicholas Carlini and David Wagner · 2017
Cited alongside, same era.
Evading classifiers by morphing in the dark
Hung Dang, Yue Huang, and Ee-Chien Chang · 2017
Cascade adversarial machine learning regularized with a unified embedding
Taesik Na, Jong Hwan Ko, and Saibal Mukhopadhyay · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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Learning the pe header, malware detection with minimal domain knowledge
Edward Raff, Jared Sylvester, and Charles Nicholas · 2017
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Generic black-box end-to-end attack against rnns and other api calls based malware classifiers
Ishai Rosenberg, Asaf Shabtai, Lior Rokach, and Yuval Elovici · 2017
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Malware detection in adversarial settings: Exploiting feature evolutions and confusions in android apps
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Cited alongside, same era.
Adversarial examples for malware detection
Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, and Patrick McDaniel · 2017
Cited alongside, same era.
Generating adversarial malware examples for black-box attacks based on GAN
Weiwei Hu and Ying Tan · 2017
Cited alongside, same era.
R2-d2: Color-inspired convolutional neural network (cnn)-based android malware detections
TonTon Hsien-De Huang, Chia-Mu Yu, and Hung-Yu Kao · 2017
Cited alongside, same era.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
Cited alongside, same era.
Wei Yang, Deguang Kong, Tao Xie, and Carl A Gunter · 2017
Later among the works it cites.
Efficient defenses against adversarial attacks
Valentina Zantedeschi, Maria-Irina Nicolae, and Ambrish Rawat · 2017
Later among the works it cites.
https://lief.quarkslab.com/
LIEF - Library to Instrument Executable Formats - Quarkslab · 2018
Closest in time.
https://msdn.microsoft.com/en-us/library/windows/desktop/ms680547
PE Format (Windows) · 2018
Closest in time.
https://virusshare.com/
VirusShare.com · 2018
Closest in time.
https://www.virustotal.com
VirusTotal · 2018
Closest in time.