no, this was done through a mix of clustering and optimizing an input to get a specific output, not coverage guided fuzzing, which optimizes inputs to produce new behaviors according to a coverage measurement. but more generally, I’m proposing to compare generations of fuzzers and try to take inspiration from the ways fuzzers have changed since their inception. I’m not deeply familiar with those changes though—I’m proposing it would be an interesting source of inspiration but not that the trajectory should be copied exactly.
I could be mistaken, but I believe that’s roughly how OP said they found it.
no, this was done through a mix of clustering and optimizing an input to get a specific output, not coverage guided fuzzing, which optimizes inputs to produce new behaviors according to a coverage measurement. but more generally, I’m proposing to compare generations of fuzzers and try to take inspiration from the ways fuzzers have changed since their inception. I’m not deeply familiar with those changes though—I’m proposing it would be an interesting source of inspiration but not that the trajectory should be copied exactly.