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Artificial Intelligence|Research

OpenAI、Google 推广的新 AI 模型易被诱导生成裸照,研究人员称

研究人员称,OpenAI 和 Google 推广的新 AI 模型很容易被诱导生成裸体图像。 —— Ars Technica

Ars Technica

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Oct 14, 2026 at 11:00 AM UTC · Updated 11 天前 · 1 分钟阅读

OpenAI、Google 推广的新 AI 模型易被诱导生成裸照,研究人员称
Image via Ars Technica

“关键在于,这些请求都不需要定制或前沿 AI 模型,”White Circle 警告称,因此执行这些攻击不需要 AI 专业知识。

研究人员审查了输出结果以验证绕过率,White Circle 指出,这是“在相同标准下测试的所有方法中最高的”。他们认为,关键结论是,“在 AI 安全从未受到如此严密审查的时刻,领先实验室构建的防御系统远比他们承认的要脆弱得多。”

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通过发布此类研究,White Circle 正将自己定位为前沿实验室的外部评估者,并计划开源整个攻击流程,以便模型制造商能够了解漏洞的真实规模并构建更强大的保护。虽然该公司尚未广泛推广该研究,但它将在今年 11 月的一个著名 AI 会议 NeurIPS 2026 上分享该研究,这可能会在今年秋季晚些时候增加对 Google 和 OpenAI 的审查。

Shilov 告诉 Ars,White Circle 已通过“共同联系人”与一些前沿 AI 实验室分享了其发现,但 Google 和 OpenAI 均未回应 Ars 就其模型中发现的漏洞直接发表评论的请求。

与此同时,OpenAI 和 Google 发布了新模型——ChatGPT Images 2.5 和 Nano Banana 2.1——White Circle 告诉 Ars,使用相同方法进行的提示词安全测试显示,“两者都比之前的版本更容易被破解。”

Why this matters

The reported bypasses affect newly released models from both OpenAI and Google, suggesting that safety regressions may span more than one major AI provider. If independently validated, the findings could increase pressure on model developers to strengthen safeguards against explicit-content generation and other prohibited behaviors, including misuse related to hacking.

在 Ars 分享了这些新发现后,两家公司均未做出回应。

Shilov 告诉 Ars,White Circle 的攻击方法可以攻破显性内容等看似容易发现的类别的边界防御,这对于目前正在更新以阻止黑客攻击等其他不受欢迎 AI 行为的更严肃的防御系统来说,并不是一个好兆头。

“White Circle 对此的工作假设是,要么新模型更先进,能够生成更广泛的内容,要么是为了性能而降低了安全性的优先级,”White Circle 告诉 Ars。

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Originally reported by Ars Technica

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