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Effectiveness Of Random Deep Feature Selection For Securing Image Manipulation Detectors Against Adversarial Examples
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Effectiveness Of Random Deep Feature Selection For Securing Image Manipulation Detectors Against Adversarial Examples
We investigate if the random feature selection approach proposed in cite{chen2019secure} to improve the robustness of forensic detectors to targeted attacks, can be extended to detectors based on deep learning features. In particular, we study the transf
We investigate if the random feature selection approach proposed in cite{chen2019secure} to improve the robustness of forensic detectors to targeted attacks, can be extended to detectors based on deep learning features. In particular, we study the transf
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