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
Current embedded system, such as cell phones and smart-cards, in corporate security devices or cryptographic processor. These cryptographic devices often store private keys or other sensitive data, so compromise of this data or the underlying hardware may lead to loss of privacy, forged access, or monetary theft. Even if the attackers fail to gain the secret information that is stored in a hardware, they may be able to disrupt the hardware or deny service leading to other kinds of security failures in the system. Therefore hardware attacks targets this security devices. Hardware attacks could be covert or overt based on awareness of the targeted system. This paper reviews proposed Accessibility/Resources/Time (ART) schema that quantifies hardware attacks. We focus in this paper on presenting covert attacks and quantify the attack using the ART schema. Keywords-hardware attack; side-channel attack; ART schema; hardware security; covert attack;
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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