Pith. sign in

Paper Citation Record · LEDGER

Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1810.03487.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1810.03487 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:12:37.223579Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 93fd23d1-ce0b-480a-bae5-7ca1736046fd · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-05T18:12:37.223579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:12:37.223579Z digest=sha256:aa9827224127ed75aef33b77bcbab8d0f4f26ed95971285b6084cccd4a2b77df

Observation 30241a5a-7713-4162-834a-0e4a2249b50b · inbound

Securing Deep Learning Hardware: A Survey of Side-Channel Vulnerabilities and Countermeasures cites this paper.

Securing Deep Learning Hardware: A Survey of Side-Channel Vulnerabilities and Countermeasures Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks

Reference 37

Resolution
malformed identifier
no resolver link, observed 2026-07-11T22:00:06.085598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T22:00:06.085598Z digest=sha256:ee8897cee50abf76ae51d7cddfa1cdf2916eaf9c1e5784ab80adf56d4d2ac34d

Observation 1a5f3978-9307-42b2-9250-20c5fc02c30c · inbound

PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption cites this paper.

PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T06:31:09.310951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:31:09.310951Z digest=sha256:94b5eb8eb2793176db96a6327beae5a43304179e72ffa5e89e117047dd855d7c