backdoors

You can check the file and test the behaviour; you cannot prove a negative. The scored answer separates code-level threats from learned backdoors and is honest about what testing can find.

Scanners are good at one thing: spotting code where only data should be. The scored answer explains how they work, how they are evaded, and why a clean scan is not a clean model.

The model passes your evaluation because your evaluation does not contain the trigger. And safety training may teach it to hide better.

The intuition that a huge dataset dilutes poison turns out to be wrong for some attacks. The scored answer cites the evidence, explains why, and moves the defence to data provenance and testing.

'Clean the dataset' is not an investigation. The answer freezes evidence, traces what changed and who could change it, tests causality by retraining, and treats the pipeline as possibly compromised too.