Publication2026
AI Secure Watermarking Method Leveraging the Error-Resistant Nature of Deep Learning Models
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- International — held abroad
- Journal
- Iet Image Processing
- Volume
- 20
- Issue
- 1
- Published
- 1 January 2026
- DOI
- 10.1049/ipr2.70437
- Scopus ID
- 105047769330
- ISSN
- 17519659
- Authors
- 5
- Open access
- Yes
- Citations
- 0
- International co-authorship
- Yes
- Co-author countries
- EG, GB, IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Proposes cryptographically secure deep learning-based watermarking method using CNN for protecting digital media and intellectual property ownership.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-3.4 Intellectual property and deep tech
Digital security and intellectual property protection through innovative AI-based watermarking combining cryptography with deep learning defense.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “AI Secure Watermarking Method Leveraging the Error-Resistant Nature of Deep Learning Models”. Kortex.
