Extracting Prompts by Inverting LLM Outputs · HackerPapers discussions

Extracting Prompts by Inverting LLM Outputs — mentioned by gpm

Wed, 04 Feb 2026 17:02:21 GMT

Not as trivially as the forwards direction, unsurprisingly information is lost, but better than you might expect. See for example https://arxiv.org/pdf/2405.15012

Paper and discussion history. A mention is not an endorsement.

Extracting Prompts by Inverting LLM Outputs — mentioned by bionhoward

Wed, 19 Mar 2025 14:50:09 GMT

Do they even need inputs to train on outputs by inferring inputs? Swear I’ve seen papers about this. Not to mention training reward models to grade the output… they could absolutely get around the “we don’t train on your inputs” Also, doesn’t Claude Code count every input as “feedback?” Plus, they forbid us from training on our own chat logs. That’s a form of vendor lock in. Way better to use local LLMs At some point there ought to be a paradigm shift toward service providers with more reasonable legal terms (IMHO) but too often we pretend nobody reads them or cares If they’re claiming not to…

Paper and discussion history. A mention is not an endorsement.

Extracting Prompts by Inverting LLM Outputs — HN submission

Mon, 27 May 2024 17:28:45 GMT

Extracting Prompts by Inverting LLM Outputs

2 points; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.