Diffusion models are vulnerable to supply-chain PRNG hijacking that forces pixel-perfect attacker-chosen outputs, and QRNG eliminates the attack.
Denoising diffusion probabilistic models
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
ADDPS formulates semantic decoding as a Bayesian inverse problem and uses alternating latent- and image-domain consistency enforcement during diffusion sampling to achieve optimal perceptual quality by preserving the data distribution.
citing papers explorer
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DiffusionHijack: Supply-Chain PRNG Backdoor Attack on Diffusion Models and Quantum Random Number Defense
Diffusion models are vulnerable to supply-chain PRNG hijacking that forces pixel-perfect attacker-chosen outputs, and QRNG eliminates the attack.
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Generative Semantic Communication via Alternating Dual-Domain Posterior Sampling
ADDPS formulates semantic decoding as a Bayesian inverse problem and uses alternating latent- and image-domain consistency enforcement during diffusion sampling to achieve optimal perceptual quality by preserving the data distribution.