Fully Quantum Latent Diffusion for Synthetic Malware Records: Effective Denoising, Limited Class Information, and Costly Post-Selection

Malware benchmarks are difficult to share, because the samples are harmful and a corpus can reveal the incidents of its holder, while synthetic substitutes can leak training records. Quantum diffusion models, however, have been evaluated only on images or quantum states, leaving the utility, privacy