Effectiveness of random deep feature selection for securing image
manipulation detectors against adversarial examples

v1v2 (latest)

Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples

25 October 2019

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Papers citing "Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples"

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Title
Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks Ehsan Nowroozi Mohammadreza Mohammadi E. Savaş Mauro Conti Yassine Mekdad AAML 73 8 0 25 Sep 2022
Demystifying the Transferability of Adversarial Attacks in Computer Networks Ehsan Nowroozi Yassine Mekdad Mohammad Hajian Berenjestanaki Mauro Conti Abdeslam El Fergougui AAML 98 34 0 09 Oct 2021
A Survey of Machine Learning Techniques in Adversarial Image Forensics Ehsan Nowroozi Ali Dehghantanha R. Parizi K. Choo AAML 69 73 0 19 Oct 2020
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision Nicolai Häni Selim Engin Jun-Jee Chao Volkan Isler 3DV 99 0 0 30 Jul 2020