CS Ph.D. student @UofMaryland

Joined October 2021
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DREW offers a vast range of applications including the detection of AI-generated content and deepfake, protecting ownership of personal media or legal documents, and digital forensics. This can mitigate some of the risks associated with the fast growth of generative AI. 2/
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In our previous work (arxiv.org/abs/2310.00076), we exposed the unreliability of watermarking techniques. However, DREW proposes a robust application of watermarks by using a large number of error control bits, ensuring robustness regardless of the severity of attacks. 3/
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Read more about our approach and results here: arxiv.org/abs/2406.02836 Our code is available at: github.com/mehrdadsaberi/DRE…

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Wonder how to securely🔐trace the source or claim ownership of media (personal, AI-generated, art)? Traditional methods often fail against malicious alterations. Meet DREW: a robust data provenance method combining watermarking and cloud-based retrieval.🧵1/
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Mehrdad Saberi retweeted
AI giants like Google use image watermarking to combat deepfakes We now show that: (i) existing methods are quite vulnerable against diffusion, adversarial & spoofing attacks (ii) imperceptible watermarks can never become reliable Paper: arxiv.org/abs/2310.00076 A 🧵
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