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研究称免费工具可绕过OpenAI与谷歌图像模型过滤

AI 总结

由Anthropic、DeepMind、Hugging Face与OpenAI背景人士支持的安全研究机构White Circle发布预印本,称其RISE攻击流程仅用市面可得的工具和API调用,就绕过了DALL·E 3、谷歌Nano Banana 2与GPT-Image-2的图像安全过滤。据Ars Technica报道,在DALL·E 3上约13%的攻击提示词生成了经人工确认的露骨图像,Nano Banana 2低于10%,GPT-Image-2约3%。White Circle计划开源该流程并在NeurIPS 2026上展示;科技新报还称更新版ChatGPT Images 2.5与Nano Banana 2.1更易被绕过,但这一说法未获其他来源证实。

深度见解

研究人员据此认为,领先实验室所建防护远比其公开承认的薄弱,并呼吁建立独立的第三方安全评估机制,而非由开发公司自行评测。

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Safety researchers continue to warn that a large volume of AI-generated explicit content is spreading unchecked, while regulators do little to meaningfully stop it.

This 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, a Google co-authored study of Internet users across the United States, Australia, and the United Kingdom found this July. That’s why the “most critical intervention point” remains at the source: the harmful AI tools used to make the fake sexual images, Google researchers concluded.

Yet red-teaming in recent months suggests that as some of the leading AI image generators from Google and OpenAI become more capable, they may be getting worse at blocking explicit outputs.

#White Circle#OpenAI#Google#DALL·E 3#GPT-Image-2#Nano Banana 2#ChatGPT Images 2.5#Nano Banana 2.1#NeurIPS 2026

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