@adminmagazine will Daniel Richey write a bit about differential privacy? Was really looking forward reading up a summary on it in #86, but there are some general words on it only.
I also wonder, what is your policy on accepting articles that contain LLM-generated content. Why do I ask? No reason... No reason at all.
@jonn I talked to our editorial team about this.
Differential privacy is an advanced technique that enables data scientists to carry out statistical analyses on anonymized datasets without increasing the risk of re-identification. This method adds controlled noise to the data to minimize the traceability of individual datasets. One example of this method is the publication of aggregated data, where random modifications are added to maintain the accuracy of the overall results. This approach is particularly suitable for scenarios in which you need to perform an accurate statistical analysis without jeopardizing the privacy of individuals. The main drawbacks are the complexity of its implementation and the need to find the right level of noise to ensure both privacy and data quality.
Differential privacy was mentioned 5 times in the article you are referring to.
Daniel Richey is the editor-in-chief of the German-language publication IT Administrator. This article is a translation of the article that ran in that magazine. If you have any other questions, please let us know.
@adminmagazine yeah, I get it, but these mentions are superficial. I'm very sorry that my question wasn't clear – are there plans for a DP deep dive? Like Linux Magazine had a quantum computing deep dive. Basically pop sci article on the topic.
Re: use of LLMs – do I understand correctly that your policy is to never publish LLM-generated content?
@jonn Thanks for your reply. Unfrotunately, I'm uncertain about an upcoming deep dive, but I will let our editorial team know of your interest.
Re LLM, all of our articles are submitted by people, and we do not publish LLM-generated content. It is possible if the article is discussing LLM, examples may be provided, but all of our articles are written by humans.
We appreciate your feedback!
@jonn Thanks for reaching out! I will contact our editorial team and report back.