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Immersive Lab:2024生成式AI(GenAI)的阴暗面-人们如何诱使聊天机器人泄露公司机密研究报告(英文版)(26页).pdf

上传人: 白**** 编号:185502 2024-12-17 26页 17.86MB

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1、Unveiling the Dark Side of GenAI:How People Trick Bots into Revealing Company SecretsDr.John Blythe,Director of Cyber Psychology,Immersive LabsKev Breen,Senior Director of Threat Intelligence,Immersive LabsJoel Iqbal,Data Analyst,Immersive LabsContentsCopyright 2024 Immersive Labs.All rights reserve

2、d.02Unveiling the Dark Side of GenAI|May 2024Introduction3Key Takeaways6Methodology7Findings11Why Organizations are at Risk12The 12 Most Commonly Used Prompt Techniques13User Techniques by Level15How People Use Role Play to Gain an Advantage16The Length and Number of Prompts Used17The Sentiment of U

3、ser Prompts20GenAI Risk:A Psychologists Perspective23Conclusion24Urgent Calls to Action26Copyright 2024 Immersive Labs.All rights reserved.03Unveiling the Dark Side of GenAI|May 2024IntroductionCopyright 2024 Immersive Labs.All rights reserved.04Unveiling the Dark Side of GenAI|May 2024“Artificial i

4、ntelligence(AI)will almost certainly increase the volume and heighten the impact of cyber attacks over the next two years.”1UK National Cyber Security Centre 2023?https:/ Artificial Intelligence(GenAI)has emerged as a transformative technology,revolutionizing various aspects of our lives.With its ab

5、ility to mimic human intelligence and perform complex tasks,GenAI has gained immense popularity across industries and among users worldwide.But with the prevalence of these tools comes novel cybersecurity risks.GenAI-powered Large Language Models(LLMs)like OpenAIs ChatGPT and Googles Gemini models r

6、ely on user prompts to generate responses.While LLMs are highly adaptable to different tasks and applications,they can be manipulated by people with potentially damaging consequences,emphasizing the need for careful consideration of the various security implications.LLMs expose organizations to prom

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本文主要研究了生成式人工智能(GenAI)在聊天机器人中可能面临的提示注入攻击风险。主要内容包括: 1. GenAI的广泛应用带来了新的网络安全风险,特别是提示注入攻击,攻击者可以通过输入特定指令来操纵聊天机器人,从而泄露敏感数据或生成不当内容。 2. 研究显示,88%的参与者成功利用提示注入攻击获取了敏感信息,表明GenAI容易受到人类操纵。 3. 用户利用各种提示技术来欺骗机器人,如请求提示、使用表情符号、直接询问密码等。随着难度增加,用户会结合多种技术来提高成功率。 4. 用户在提示中保持中性语气,但随着难度增加,部分用户会表现出负面情绪。 5. 组织需要采取措施来保护系统免受提示注入攻击,如实施安全控制、采用“安全设计”方法,并制定全面的GenAI使用政策。 6. 需要进一步研究以全面理解提示注入攻击的影响和潜在的网络安全风险。
人工智能如何被利用? 人工智能安全漏洞有哪些? 如何防范人工智能攻击?
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