Construct · 1 fields · 1 citations

deep leakage from gradients: a standalone construct

One name. One construct. A landmark on the map.

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Adversarial machine learning

private training inputs and labels can be reconstructed from the gradients shared in distributed or federated training.

In adversarial machine learning, deep leakage from gradients refers to private training inputs and labels can be reconstructed from the gradients shared in distributed or federated training. This meaning comes from Zhu (2019) in arXiv.[1]

Unit
Recovery means
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Nearby constructs

leakage3 fields · 4 citationsjingle · one word, three constructs learning6 fields · 14 citationsjingle · one name, six constructs training3 fields · 5 citationsjingle · one word, three constructs

References

Zhu, L., Liu, Z., & Han, S. (2019). Deep Leakage from Gradients. arXiv. https://doi.org/10.48550/arxiv.1906.08935

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