A Model for Adversarial Wiretap Channels and its Applications
Why this work is in the frame
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Bibliographic record
Abstract
In the wiretap model of secure communication, Alice is connected to Bob and Eve by two noisy channels. Wyner's insight was that the difference in noise between the two channels can be used to provide perfect secrecy for communication between Alice and Bob, against the eavesdropper Eve. In Wyner's model, the adversary is passive. We consider a coding-theoretic model for wiretap channels with active adversaries who can choose their view of the communication channel and also add adversarial noise to the channel. We give an overview of the security definition and the known results for this model, and discuss its relation to two important cryptographic primitives: secure message transmission and robust secret sharing. In particular, we show that this model unifies the study of wiretap channels and secure message transmission in networks.
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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 | 0.000 | 0.002 |
| 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