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	Improving Malware detection using adversarial attacks in android systems (Joint Conference Channel) View
	Towards Robust Android Malware Detection Models using Adversarial Learning (OKOKPROJECTS) View
	Robust Android Malware Detection Against Adversarial Example Attacks (VideoLecturesChannel) View
	Intriguing Properties of Adversarial ML Attacks in the Problem Space (IEEE Symposium on Security and Privacy) View
	ICAASE 2020 \| Android Malware Detection using Convolutional Deep Neural Networks (International Conference on Advanced Aspects of Software Engineering, (ICAASE 2020)) View
	USENIX Security '20 - On Training Robust PDF Malware Classifiers (USENIX) View
	[6C] Less is More: A privacy-respecting Android malware classifier using federated learning (Privacy Enhancing Technologies Symposium) View
	AndroOBFS: Time-tagged Obfuscated Android Malware Dataset with Family Information (skdennish) View
	ACM CODASPY '20 - DANdroid: A Multi-View Discriminative Adversarial Network for Obfuscated Android.. (ACM CODASPY) View
	USENIX Security '23 - Black-box Adversarial Example Attack towards FCG Based Android Malware... (USENIX) View