Unverified50% confidenceFactExact time
MIRA uses an entropy loss weighted by mutual-information confidence, reducing the weight of samples that are perturbation-sensitive or low-confidence.
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11/3/2026
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Related Claims
UnverifiedMIRA's perturbation scale selection depends on mutual information estimation and may face estimation variance issues when batches are small or the number of classes is very large.72% similarUnverifiedPerturbing telemetry data can reduce additional leakage only when it significantly degrades the fidelity of the telemetry data, creating a direct trade-off between defense and the utility of telemetry data.72% similarUnverifiedThe concept of information entropy proposed by Shannon indicates that low-probability events carry higher information content.72% similarUnverifiedMainstream entropy-based TTA methods rely on deterministic confidence and may reinforce overconfident errors under distribution shift.71% similar
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