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  3. ARES: Scalable and Practical Gradient Inversion Attack in Fe
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ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning through Activation Recovery

Stale15d ago
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Stale evidence

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: partial

Freshness: stale

Source paper: ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning through Activation Recovery

PDF: https://arxiv.org/pdf/2603.17623v1

Repository: https://github.com/gongzir1/ARES

Source count: 0

Coverage: 50%

Last proof check: 2026-03-19T21:58:08.528Z

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Paper Mode

ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning through Activation Recovery

Overall score: 7/10
Lineage: 8a618c6a8f07…
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Canonical Paper Receipt

Last verification: 2026-03-19T21:58:08.528Z

Freshness: stale

Proof: partial

Repo: active

References: 0

Sources: 0

Coverage: 50%

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Unknowns
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Dimensions overall score 7.0

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Last commit
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