Niv Cohen
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126
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2026
On the Robustness of Watermarking for Autoregressive Image Generation
This paper analyzes existing watermarking schemes for autoregressive image generators and demonstrates that they are vulnerable to various removal and forgery attacks, suggesting they are unreliable for content detection and dataset filtering.
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cs.CVcs.AIcs.CRRecentApr 13, 2026
On the Robustness of Watermarking for Autoregressive Image Generation
Andreas Müller, Denis Lukovnikov, Shingo Kodama, Minh Pham +4 more
This paper analyzes existing watermarking schemes for autoregressive image generators and demonstrates that they are vulnerable to various removal and forgery attacks, suggesting they are unreliable f…
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