PlatPal: Detecting Malicious Documents with Platform Diversity

By Meng Xu, Taesoo Kim. 2017

30 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Battista Biggio
2. Davide Maiorca
3. Giorgio Giacinto
4. Fabio Roli
5. Ambra Demontis
6. Nicholas Carlini
7. Nicolas Papernot
8. Giorgio Fumera

Citations in the corpus

• Towards Adversarial Malware Detection (2018, background): “on only concerns systems that employ supervised machine learning to perform detection, meaning that we will not discuss PDF malware detectors that employ rule-based or non-supervised approaches (e.g. [54, 58, 78, 84, 93, 94, 100, 101]). For a more detailed description of such systems, we refer the r”