Spiking Neural Networks Are Harder to Steal: A Benchmark Study of Model Stealing Attacks

arXiv:2610.36298v1 Announce Type: new Abstract: Machine learning models deployed behind query interfaces expose more than their predictions, because an adversary can use those predictions to rebuild the model itself. Model stealing attacks (MSAs) exploit this exposure by training a surrogate model t

arXiv cs.AIMittwoch 05:00 · 28.10.1 Min. Lesezeit