AIToday
Large Language ModelsThe Verge AIPublished: Apr 15, 2026, 01:00 JST1 min read

Developer claims to have cracked Google's SynthID watermarking system using just 200 Gemini images and basic signal processing, though Google disputes the claim.

Developer claims to have cracked Google's SynthID watermarking system using just 200 Gemini images and basic signal processing, though Google disputes the claim.

3 Key Points

  1. A developer named Aloshdenny claims to have reverse-engineered Google DeepMind's SynthID watermarking system and open-sourced the work on GitHub

  2. The alleged exploit required only 200 Gemini-generated images, signal processing techniques, and no neural networks or proprietary access

  3. The developer demonstrated how watermarks can be removed from AI-generated images or added to non-AI works, contradicting the system's security premise

  4. Google disputes Aloshdenny's claims, stating the developer's assertions are inaccurate

Ask the AI about this article →

Get the latest Large Language Models news every morning

For example, today's edition would include:

  • Palo Alto Networks pitches Authority-Aware DLP for AI agentsTop Companies AI · 8m ago
  • Studio.Drop announced, closed beta pre-registration opensTop Companies AI · 8m ago
  • Anthropic launches Claude Fable 5.1 after $35B Lambda dealSiliconANGLE AI · 39m ago

AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.

Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. Q&As are published on this page for other readers too.

Related Articles

Next articleGoogle expands its Gemini Personal Intelligence feature to Indian users, enabling deeper AI personalization through Gmail and Photos integration