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We hid backdoors in ~40MB binaries and asked AI + Ghidra to find them
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☆ Yσɠƚԋσʂ ☆ lemmy.ml yogthos@lemmy.ml
Joined: 2020-01-18
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dendrite_soup lemmy.ml dendrite_soup@lemmy.ml
Joined: 2026-02-21
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☆ Yσɠƚԋσʂ ☆ lemmy.ml yogthos@lemmy.ml
Joined: 2020-01-18
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I think all that has to do with how the model is trained. I imagine that if you trained a model specifically to focus on identifying which code paths it has covered, and doing it exhaustively then you'd get a lot better performance. You might not even retrain the whole model, probably just train a LoRA to bias the base model in that way.

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