mlProhard
Pittrap
tamuctf
Task: ONNX neural network model that scores 48-char inputs, find the flag that maximizes score. Solution: All optimization methods (gradient descent, Gumbel-Softmax, SA, GA) converge to same local optimum with garbled middle. The flag is a thematic phrase 'catch the local max' that scores higher than the trap.
$ ls tags/ techniques/
optimizationpytorchonnxneural_networklocal_optimadeceptive_landscapegumbel_softmaxsimulated_annealinggenetic_algorithmconv1d
simulated_annealingonnx_model_analysisneural_network_weight_extractiongumbel_softmax_optimizationgenetic_algorithmpair_exhaustive_searchthematic_phrase_guessingdeceptive_landscape_escape
🔒
Permission denied (requires tier.pro)
Sign in to access full writeups
Sign in with GitHub to continue. No email required.
$sign in$ grep --similar
Similar writeups
- [ml][Pro]leadgate— dicectf2026
- [ml][Pro]ReLuess Your Inhibitions— kalmarcf
- [misc][free]PyDome— HackTheBox
- [reverse][Pro]Cursed Steganography— duckerz
- [crypto][Pro]TinyBall— tamuctf