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Image GenerationAI Safety & AlignmentArs Technica AIPublished: Oct 14, 2026, 22:00 JST

White Circle: AI image safeguards bypassed 13 percent of the time

White Circle: AI image safeguards bypassed 13 percent of the time

3 Key Points

  1. What happened

    White Circle researchers found that Google's Nano Banana 2 and OpenAI's DALL·E 3 and GPT-Image-2 could be bypassed into generating explicit images about 13 percent of the time. Testing showed the newer ChatGPT Images 2.5 and Nano Banana 2.1 are significantly more breakable.

  2. Why it matters

    White Circle said this bypass rate is the highest of any method tested under the same standard. The group is positioning itself as an external evaluator of frontier labs.

  3. What to watch

    White Circle will share the research at NeurIPS 2026 this November.

WHO IT HITSAI safety teams at Google and OpenAI face external pressure to harden image-generation safeguards. Policy makers weighing mandatory third-party safety testing now have a concrete bypass rate to cite.

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Context & Analysis

White Circle's findings come as AI-generated explicit content is spreading unchecked. A Google co-authored study this July found that non-consensual content is commonly shared in text and direct messages or stored in private clouds where it's less likely to be detected or reported. Google researchers concluded the most critical intervention point remains at the source.

Google's research also found that 20 percent of online users who admitted to making AI nudes did so "for fun" or "as a joke." Nearly a third were merely "experimenting with tech." In response, the Internet Watch Foundation warned last week that urgent action is needed after finding 6,310 AI images meeting the legal definition of CSAM in the first six months of 2026.

White Circle's Shilov argues frontier labs won't invest in safety testing until it's mandatory. The group is in early talks with government officials about third-party safety testing.

FAQ
What attack method did White Circle use?
The method is called 'Red-teaming via Iterative Strategy Evolution' (RISE). It uses an attacking model to generate jailbreaks and a judge model to verify banned content.
Did the companies respond to the findings?
Neither Google nor OpenAI responded to Ars' request to comment directly on vulnerabilities found in their models.
What will White Circle do with the attack pipeline?
It plans to open-source the entire attack pipeline on GitHub and share the research at NeurIPS 2026 this November.
Ars Technica AIRead Original Article

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