Captured record
report:3929:titleHeadline captured
arXiv — Cryptography & Security (cs.CR) recorded this headline on Aug 31, 2026. No lawful structured evidence is available yet to explain the underlying event.
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Brief status
Headline captured
Evidence records
1
Structured pivots
0
Publisher text
Available
Forensia structured brief
Only the source headline is captured. Forensia will not present a generic provenance summary as a threat brief.
Captured record
report:3929:titlearXiv — Cryptography & Security (cs.CR) recorded this headline on Aug 31, 2026. No lawful structured evidence is available yet to explain the underlying event.
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source brief
source-authored · cleanedarXiv:2608.27836v1 Announce Type: new Abstract: As large language models are increasingly adopted in federated learning, protecting user privacy while performing parameter-efficient fine-tuning on distributed private data has become an important challenge. Although clients only share gradients instead of directly uploading raw data, the shared gradients may still leak membership information about training samples. ProjRes (S&P, 2026) further increases this risk: with less information and without accessing model outputs, an attacker can effectively distinguish members from non-members solely ba
Cleaned from source-provided descriptive text. This is not independent Forensia analysis. Open the original for the publisher's complete reporting.· sha256:454035ecd5bcbba5…
No structured IOCs, malware families, threat actors or ATT&CK techniques were extracted from this source document.
evidence set
1 recordsGrouping means the records share event anchors. It does not prove that every publisher independently verified the claims.
rights & provenance
Coverage state measures available context, not whether every claim is true or independently corroborated. Unknown publication rights fail closed to metadata and the original source link.
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