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This paper presents a new approach for deidentifying face images, i.e. for preventing automatic matching with public face collections. The overall motivation is to offer tools for privacy protection on social networks. We address this question by drawing a parallel between face de-identification and oracle attacks in digital watermarking. In our case, the identity of the face is seen as the watermark...
The paper proposes a new approach for evaluating the security levels of digital watermarking schemes, which is more in line with the formulation proposed in cryptography. We first exhibit the class of equivalent decoding keys. These are the keys allowing a reliable decoding of contents watermarked with the secret key. Then, we evaluate the probability that the adversary picks an equivalent key. The...
Content-Based Image Retrieval (CBIR) has been recently used as a filtering mechanism against the piracy of multimedia contents. Many publications in the last few years have proposed very robust schemes where pirated contents are detected despite severe modifications. As none of these systems have addressed the piracy problem from a security perspective, it is time to check whether they are secure:...
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