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DiSCO：通过分布引导的对比提示优化来防御文本到图像生成DiSCO: Defending text-to-image generation through distribution-guided contrastive prompt optimization

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以下内容为 AI 自动翻译，英文原文附后供参考。

摘要

研究人员推出了DiSCO，这是一种新颖的防御机制，旨在提高文本到图像生成模型的安全性。该方法专注于分布引导的对比提示优化，有助于减少有害内容的生成。值得注意的是，DiSCO作为一种黑箱解决方案运行，这意味着它不需要访问生成模型的内部参数或重新训练，从而成为增强AI应用安全性的实用选择。

Researchers have introduced DiSCO, a novel defense mechanism aimed at improving the safety of text-to-image generative models. This approach focuses on distribution-guided contrastive prompt optimization, which helps mitigate the generation of harmful content. Notably, DiSCO operates as a black-box solution, meaning it does not require access to the internal parameters of the generative models or necessitate retraining, making it a practical option for enhancing safety in AI applications.

要点

  1. DiSCO提供了一种增强文本到图像模型安全性的新方法。

    DiSCO provides a new method for enhancing the safety of text-to-image models.

  2. DiSCO的黑箱特性允许在不需要内部模型访问的情况下轻松实施。

    The black-box nature of DiSCO allows for easy implementation without needing internal model access.

  3. 这一发展解决了对AI中有害内容生成日益增长的担忧。

    This development addresses growing concerns about harmful content generation in AI.

为何重要

DiSCO的推出代表了确保AI在创意应用中负责任使用的重要一步，特别是在减轻与有害内容生成相关的风险方面。

The introduction of DiSCO represents a significant step towards ensuring the responsible use of AI in creative applications, particularly in mitigating risks associated with harmful content generation.

按谁的角度看

产品经理

对于产品经理而言，DiSCO提供了一种可行的解决方案，以增强产品安全性，而无需模型重新训练的负担，从而加快安全AI功能的部署。

For product managers, DiSCO offers a viable solution to enhance product safety without the overhead of model retraining, allowing for quicker deployment of safer AI features.

开发者

开发人员可以利用DiSCO将安全措施集成到他们的文本到图像应用中，而无需深入访问模型内部，从而简化开发过程。

Developers can leverage DiSCO to integrate safety measures into their text-to-image applications without needing deep access to model internals, streamlining the development process.

学生与求职者

对于学生和求职者而言，理解DiSCO及其在AI安全中的影响可以提供对人工智能领域新兴趋势和技术的宝贵见解。

For students and job-seekers, understanding DiSCO and its implications in AI safety can provide valuable insights into emerging trends and technologies in the field of artificial intelligence.

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