Edit: Quotations-> Questions . Though it would learn our writing style too.
Ask HN: How to prevent LLMs from building a profile of us?
1–7 of 7 posts
Re: Ask HN: How to prevent LLMs from building a profile of us?
#2Re: Ask HN: How to prevent LLMs from building a profile of us?
#3So I suggest at minimum 2 safe guards:
1 - Account should be tied to an email that is only used for that service.
2 - Text should be pre-processed to obfuscate your personal written word idiosyncrasies. Some sort of a locally executable text similarity tool that is trained on your normal output (just feed it your hn comments, emails, etc.) which can help create a semantically equivalent text from your original text [that the tool deems 'distant' to your normal writing style]. Use that output for prompting.
p.s.
A Girl Has A Name: Detecting Authorship Obfuscation, 2020
https://aclanthology.org/2020.acl-main.203.pdf
"Authorship attribution aims to identify the author of a text based on the stylometric analysis. Authorship obfuscation, on the other hand, aims to protect against authorship attribution by modifying a text’s style. In this paper, we evaluate the stealthiness of state-of-the-art authorship obfuscation methods under an adversarial threat model. An obfuscator is stealthy to the extent an adversary finds it challenging to detect whether or not a text modified by the obfuscator is obfuscated – a decision that is key to the adversary interested in authorship attribution. We show that the existing authorship obfuscation methods are not stealthy as their obfuscated texts can be identified with an average F1 score of 0.87."
Re: Ask HN: How to prevent LLMs from building a profile of us?
#4I stopped using chatGPT very early on as I caught myself sharing my thoughts. It's not just the association with my primary email account as at this point it is clear that our word patterns almost uniquely identify us as well. So I suggest at minimum 2 safe guards: 1 - Account should be tied to an email that is only used for that service. 2 - Text should be pre-processed to obfuscate your personal written word idiosy…
Any data sent through the API will be retained for abuse and misuse monitoring purposes for a maximum of 30 days, after which it will be deleted (unless otherwise required by law). The OpenAI API processes user prompts and completions, as well as training data submitte
Re: Ask HN: How to prevent LLMs from building a profile of us?
#5I stopped using chatGPT very early on as I caught myself sharing my thoughts. It's not just the association with my primary email account as at this point it is clear that our word patterns almost uniquely identify us as well. So I suggest at minimum 2 safe guards: 1 - Account should be tied to an email that is only used for that service. 2 - Text should be pre-processed to obfuscate your personal written word idiosy…
OpenAI will not use data submitted by customers via our API to train or improve our models, unless you explicitly decide to share your data with us for this purpose. You can opt-in to share data. Any data sent through the API will be retained for abuse and misuse monitoring purposes for a maximum of 30 days, after which it will be deleted (unless otherwise required by law). The OpenAI API processes user prompts and c…
Re: Ask HN: How to prevent LLMs from building a profile of us?
#6Or you can introduce noise and bad data in the dataset. The issue is if it is really an issue at the moment.
Re: Ask HN: How to prevent LLMs from building a profile of us?
#7Or you can introduce noise and bad data in the dataset. The issue is if it is really an issue at the moment.
How often do you add noise to your search queries? What sort of noise to add (whether it's truly random or based on your subconscious) is another matter.