ChatGPT 3.5 Turbo Vulnerability Exposes Training Data Secrets

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Good research, great examples, but OpenAI is not too excited about showing what data their models are trained on, so enforcing a policy change is the way to go.

A few days after it was disclosed, ChatGPT is now flagging the divergence attack that Google DeepMind (and others) found. Simply put, if you asked ChatGPT to repeat a word forever, it would eventually spew out the data that the model was trained on. And as the researchers showed, that data was accurate word-for-word on the Web.

This attack vector specifically targets ChatGPT 3.5 Turbo. The policy change has been verified by myself, as I was able to replicate the flagging of the attempt.

However, there is no specific mention in the content policy that explicitly prohibits this attack. Some argue that Section 2 Usage Requirements applies, as it restricts users from attempting to discover the underlying components of the model.

OpenAI has not responded to queries regarding this matter, as they have not engaged with any of my previous inquiries over the past year.

The primary reason for flagging this attack vector as a violation is the potential for lawsuits against OpenAI. The ability of the divergence attack to extract exact training data could lead to copyright infringement cases if someone were to extract and misuse valuable data.

Additionally, concerns exist regarding the extraction of Personally Identifiable Information (PII). The original researchers found numerous instances of personal information in their testing samples, raising potential privacy concerns and violating regulations such as the General Data Protection Regulation (GDPR) in the EU.

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Interestingly, someone on Reddit discovered this trick four months prior, but it went relatively unnoticed. OpenAI likely considers this matter resolved.

It is crucial for OpenAI to address these issues and enforce policy changes to protect themselves from potential legal consequences. By ensuring transparency and preventing the unauthorized extraction of data, they can maintain trust and compliance with privacy regulations.

Ultimately, OpenAI must prioritize the security of user data and protect themselves from legal implications arising from the misuse of their models. As the landscape of AI continues to evolve, it is imperative for organizations like OpenAI to proactively address vulnerabilities and safeguard user privacy.

Note: This news article was written in response to a given set of details and does not represent the expressed views or opinions of any particular news agency or journalist.

Frequently Asked Questions (FAQs) Related to the Above News

What vulnerability has been exposed in ChatGPT 3.5 Turbo?

The vulnerability exposed in ChatGPT 3.5 Turbo is known as the divergence attack, where if a user asks the model to repeat a word forever, it eventually spews out the accurate word-for-word data that the model was trained on.

What is the significance of the data that the model was trained on being exposed?

The exposed data includes accurate word-for-word information found on the web, which can potentially lead to copyright infringement cases if the data is misused. Additionally, the presence of personally identifiable information (PII) raises concerns about potential privacy violations and violations of regulations such as GDPR.

Has OpenAI addressed this vulnerability?

OpenAI has not yet responded to queries regarding this matter or engaged with previous inquiries on the topic over the past year. However, the policy change has been verified, and the vulnerability has been flagged as a violation.

Are there explicit policies in place to prohibit this attack?

Currently, there is no specific mention in the content policy that explicitly prohibits this attack vector. However, some argue that the section on usage requirements can be applied, as it restricts users from attempting to discover the underlying components of the model.

Why is it important for OpenAI to address this vulnerability?

OpenAI needs to address this vulnerability and enforce policy changes to protect themselves from potential legal consequences. By ensuring transparency, preventing unauthorized data extraction, and safeguarding user privacy, they can maintain trust and comply with privacy regulations.

How does the potential exposure of personal information impact OpenAI?

The exposure of personal information raises privacy concerns and potential violations of regulations such as GDPR. OpenAI needs to take measures to protect user data and prevent the misuse of their models to avoid legal implications.

Was the divergence attack previously discovered?

Yes, someone on Reddit discovered this attack vector four months prior, but it remained relatively unnoticed. OpenAI likely considers this matter resolved.

Is this news article representative of the views of any particular news agency or journalist?

No, this news article was written in response to a given set of details and does not represent the expressed views or opinions of any specific news agency or journalist.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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