Empower: Researchers employ OpenAI chatbots in a self-contradictory yet strategic move, pitting these tools against their objectives to achieve their goals

Computer scientists at Nanyang Technological University, Singapore (NTU Singapore), have successfully infiltrated several artificial intelligence OpenAI chatbots chatbots, such as ChatGPT, Google Bard, and Microsoft Bing Chat. This intrusion has resulted in the creation of content that violates the guidelines set by their respective developers, a phenomenon referred to as “jailbreaking.”

Enhancing Security Through Innovative ‘Jailbreaking’ Techniques in OpenAI Chatbots

The act of “jailbreaking” refers to the practice in computer security where hackers identify and take advantage of vulnerabilities in a system’s software in order to enable functionalities that were intentionally limited by its developers.

In addition, the researchers developed a large language model (LLM) chatbot by training it on a collection of prompts that had previously proven successful in hacking other OpenAI chatbots. This LLM chatbot is now capable of generating additional prompts to bypass security measures in other OpenAI chatbots.

LLMs are the core components of OpenAI chatbots, empowering them to analyze human inputs and produce text that closely resembles what a human can generate. This encompasses various tasks like organizing a travel schedule, narrating a bedtime tale, and coding software

The inclusion of “jailbreaking” has been incorporated into the list by the NTU researchers. Their discoveries could prove crucial in enabling companies and businesses to recognize the vulnerabilities and constraints of their LLM chatbots, thereby empowering them to implement measures for fortifying their defenses against potential hackers.

Exploiting AI Chatbot Security via ‘Jailbreaking’ Techniques”

Upon successfully executing jailbreak attacks, the researchers promptly reported the identified issues to the relevant service providers after conducting a series of proof-of-concept tests on LLMs. This was done to substantiate the fact that their technique poses a significant and immediate threat.

Professor Liu Yang, who is in charge of the research at NTU’s School of Computer Science and Engineering, stated that the rapid proliferation of Large Language Models (LLMs) is primarily attributed to their remarkable capacity to comprehend, produce, and finalize text that closely resembles human language. Among the various applications of LLMs, chatbots have gained immense popularity for their everyday usage.

AI service developers have implemented safeguards to ensure that AI does not generate violent, unethical, or criminal content. However, it is possible to outsmart AI, and as a result, we have employed AI to ‘jailbreak’ LLMs and compel them to create such content.

Mr. Liu Yi, a Ph.D. student at NTU and co-author of the paper, stated that the paper introduces a unique method for generating jailbreak prompts against fortified LLM chatbots. By training an LLM with jailbreak prompts, it becomes feasible to automate the generation of these prompts, resulting in a significantly higher success rate compared to current approaches. Essentially, the OpenAI chatbots are being targeted by utilizing their own capabilities against them.

Revolutionizing AI Security: The ‘Masterkey’ Approach to Jailbreaking LLMs

The scholarly article provided by the researchers outlines a dual approach to “jailbreaking” LLMs, which they have aptly titled “Masterkey.”

Initially, the researchers conducted a thorough analysis of the methods employed by LLMs to identify and safeguard against harmful queries. Armed with this knowledge, they proceeded to train an LLM to autonomously acquire knowledge and generate prompts that could circumvent the protective measures of other LLMs. This entire procedure has the potential to be automated, resulting in the development of a jailbreaking LLM that possesses the ability to adapt and devise fresh jailbreak prompts, even in the face of developers’ attempts to fix vulnerabilities in their LLMs.

The paper authored by the researchers has been accepted for presentation at the Network and Distributed System Security Symposium, a prominent security forum, in San Diego, U.S., in February 2024. This paper is currently available on the preprint server arXiv.

OpenAI chatbots are provided with prompts, which are essentially a set of instructions, by human users. All developers of OpenAI chatbots establish guidelines to ensure that the chatbots do not generate unethical, questionable, or illegal content. For instance, if a user asks an AI chatbot about creating malicious software to hack into bank accounts, the chatbot will typically refuse to answer due to the criminal nature of the request.