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Attributed metadata history

REPORTPUBLIC METADATA

Glimpsing the Leakage Flow for Deep Learning-Based Side-Channel Analysis using Stochastic Leakage Model

ePrint Report: Glimpsing the Leakage Flow for Deep Learning-Based Side-Channel Analysis using Stochastic Leakage Model Trevor Yap, Shivam Bhasin Deep learning has become the dominant method for profiled Side-Channel Analysis (SCA), successfully recovering secret keys even in the presence of strong countermeasures. Despite its efficacy, Deep Neural Networks (DNNs) are predominantly black-box in nat

Reference details

Source category
Research & news
Report title
Glimpsing the Leakage Flow for Deep Learning-Based Side-Channel Analysis using Stochastic Leakage Model
First reported
Oct 07, 2026 01:24 UTC
Last reported
Oct 07, 2026 01:24 UTC
Catalog updated
Oct 08, 2026 03:46 UTC
Record ID
598653e088568ecc975aeb633495b6dbf11ff0b709c7695a42ed0469a01d56e9

Published indicators

Network indicators are visibly defanged. This page does not make them clickable or send them to another service.

No validated file hashes or network indicators are stored for this record.

Source observations

src_e53adb99e40ae66258

Source-provided label
Not reported
Evidence class
mentioned in report
Confidence
Not reported
Observed
Oct 07, 2026 01:24 UTC
Retrieved
Oct 08, 2026 03:46 UTC

This record contains metadata and attribution only. It does not host, download, unpack, render, or execute malware samples.

Feed collection status

Sources represented on this page. Publication and observation dates describe the content; successful batch dates describe local collection. A recent batch does not certify complete coverage or current provider availability.

1 sources: 0 stale, 0 needing attention, 0 paused, 1 unverified.

Review source update dates and status
  • src_e53adb99e40ae66258Collection status unverifiedLast successful batch: Unverified

Stale means older than twice the recorded collection interval, with a minimum of one hour; without an interval, the threshold is 24 hours. Cached content remains available while a feed is stale, paused, or unverified.