A DTMC of injection versus absorption shows that natural decay plus 10% lazy verification and weight penalties forces any bounded adversary's success probability to zero with no utility loss.
Zero-knowledge proofs of training for deep neural networks
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The Power of Backdoor Absorption in Community Training
A DTMC of injection versus absorption shows that natural decay plus 10% lazy verification and weight penalties forces any bounded adversary's success probability to zero with no utility loss.