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Contribution of the Submission

This paper is well written and easy to follow, contributing a scheme for proactive DeepFake defense approach. Before the streaming media files are released to the public network, the perturbations are added, thus making DeepFake invalid. This scheme performs well in the author’s paper experiment and can produce a good defense effect with nearly invisible disturbance.

Strength:

  1. Identifies important issues in previous DeepFake detectors(especially in passive DeepFake detectors).
  2. The proposed method adds perturbation to the HSV space, which has some certain innovations.

Weakness:

There are some problems, which must be solved before it is considered for publication. If the following problems are well-addressed, this reviewer believes that the essential contribution of this paper is important for DeepFak

本文标签： 主动方向Deepfakereview

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