Chaotic parameter modulation with application to digital watermarking
Why this work is in the frame
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Bibliographic record
Abstract
Digital watermarking is an enabling technology to prove ownership on copyrighted material, detect originators of illegally make copies, and monitor the usage of the copyrighted multimedia data. This paper presents a new technique for image watermarking based on analog spread spectrum system. The watermark is generated by the chaotic parameter modulation method. The copyright information is modulated into the initial condition of a chaotic system to generate a watermark signal. The retrieval of copyright information is then a problem of initial condition estimation from the corrupted watermark signal. Two efficient estimation techniques, namely, dynamical programming and halving method are applied to detect information from the corrupted watermarked image. It is shown that the new approach can modulate numerical information directly and outperforms the correlation-based spread spectrum watermarking spectrum.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it