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The researchers used the technique in a controlled test to turn Bing Chat into a scammer that asked for people’s personal information. In one research paper published in February, reported on by Vice’s Motherboard, the researchers were able to show that an attacker can plant malicious instructions on a webpage if Bing’s chat system is given access to the instructions, it follows them. Greshake, along with other researchers, has demonstrated how LLMs can be impacted by text they are exposed to online through prompt injection attacks. “As we give these systems more and more power, and as they become more powerful themselves, it’s not just a novelty, that’s a security issue,” says Kai Greshake, a cybersecurity researcher who has been working on the security of LLMs.

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Anthropic, which runs the Claude AI system, says the jailbreak “sometimes works” against Claude, and it is consistently improving its models. OpenAI, Google, and Microsoft did not directly respond to questions about the jailbreak created by Polyakov. Meanwhile, the “universal” prompt created by Polyakov did work in ChatGPT. When we tested the prompt, it failed to work, with ChatGPT saying it cannot engage in scenarios that promote violence.

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One recent technique Albert calls “text continuation” says a hero has been captured by a villain, and the prompt asks the text generator to continue explaining the villain’s plan. However, some simple methods still exist, he claims. Albert says it has been harder to create jailbreaks for GPT-4 than the previous version of the model powering ChatGPT. However, many of the latest jailbreaks involve combinations of methods-multiple characters, ever more complex backstories, translating text from one language to another, using elements of coding to generate outputs, and more. “Once enterprises will implement AI models at scale, such ‘toy’ jailbreak examples will be used to perform actual criminal activities and cyberattacks, which will be extremely hard to detect and prevent,” Polyakov and Adversa AI write in a blog post detailing the research. Examples shared by Polyakov show the Tom character being instructed to talk about “hotwiring” or “production,” while Jerry is given the subject of a “car” or “meth.” Each character is told to add one word to the conversation, resulting in a script that tells people to find the ignition wires or the specific ingredients needed for methamphetamine production. The jailbreak works by asking the LLMs to play a game, which involves two characters (Tom and Jerry) having a conversation.

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The jailbreak, which is being first reported by WIRED, can trick the systems into generating detailed instructions on creating meth and how to hotwire a car. Underscoring how widespread the issues are, Polyakov has now created a “universal” jailbreak, which works against multiple large language models (LLMs)-including GPT-4, Microsoft’s Bing chat system, Google’s Bard, and Anthropic’s Claude.







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