I had some ideas about binary diffing, but it's a difficult topic and I'm too much of a noob in ML to get to something working in a decent time frame. I think

I had some ideas about binary diffing, but it's a difficult topic and I'm too much of a noob in ML to get to something working in a decent time frame. I think something ABI-, compiler- and architecture-agnostic would be super cool and I started to build a training data set. I wouldn't diff individual instructions though, I'd go for something more highlevel, such as features of the CFG and type of operations in the nodes.