Revocable policy-based chameleon hash using lattices
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract A chameleon hash function is a type of hash function that involves a trapdoor to help find collisions, i.e., it allows the rewriting of a message without modifying the hash. For some applications, it is important to have the feature of revoking the rewriting privilege of the trapdoor holder. In this paper, using lattice-based hard problems that are considered quantum-safe, we first introduce a lattice-based chameleon hash with an ephemeral trapdoor <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mo>(</m:mo> <m:mrow> <m:mi mathvariant="sans-serif">CHET</m:mi> </m:mrow> <m:mo>)</m:mo> </m:mrow> </m:math> \left({\mathsf{CHET}}) and then a revocable attribute-based encryption ( <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">RABE</m:mi> </m:math> {\mathsf{RABE}} ) scheme that is adaptively indistinguishable. We also give security analyses of our schemes and compare our <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">RABE</m:mi> </m:math> {\mathsf{RABE}} scheme to two relevant schemes proposed recently. Furthermore, we combine our <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">CHET</m:mi> </m:math> {\mathsf{CHET}} and <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">RABE</m:mi> </m:math> {\mathsf{RABE}} to design a new revocable policy-based chameleon hash.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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