Paper Citation Record · LEDGER

Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1802.04528.

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

pith.paper-citation-record.v1
1802.04528 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:30:48.442583Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:31:10.937229Z

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 1010d64d-fdf2-44b3-b58b-1de967e714b9 · inbound

RoMA: Robust Malware Attribution via Byte-level Adversarial Training with Global Perturbations and Adversarial Consistency Regularization cites this paper.

RoMA: Robust Malware Attribution via Byte-level Adversarial Training with Global Perturbations and Adversarial Consistency Regularization Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T12:37:27.461533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b785b30-d81f-4f96-8561-4da46a3dd038 · inbound

Tarallo: Evading Behavioral Malware Detectors in the Problem Space cites this paper.

Tarallo: Evading Behavioral Malware Detectors in the Problem Space Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:40.066697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee35854a-dbb7-4567-af2f-ed82e57b64b5 · inbound

MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem cites this paper.

MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:12.578524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f971dc6-004d-4541-965f-9c158fce4c89 · inbound

Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations cites this paper.

Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:19:02.944451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c3c8d92-ddf6-458c-a477-b48d4fa68716 · inbound

Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations cites this paper.

Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:19:02.944451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8533bff1-f997-405f-b939-76bea3797f14 · inbound

Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method cites this paper.

Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T11:56:41.019887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21a1edf8-e6fa-4103-8429-ac3c49b4c22a · inbound

Empirical Analysis of Evasion and Poisoning Against Malware Data Drift Detection cites this paper.

Empirical Analysis of Evasion and Poisoning Against Malware Data Drift Detection Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:29.733555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efa8f771-6c7d-4756-b4e3-4f136c5279fa · inbound

Empirical Analysis of Evasion and Poisoning Against Malware Data Drift Detection cites this paper.

Empirical Analysis of Evasion and Poisoning Against Malware Data Drift Detection Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T04:30:48.442583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.