Proceedings of the 4th International Symposium on Information, Computer, and Communications Security
Bibliographic record
Abstract
These proceedings contain the papers selected for presentation at the 4th ACM Symposium on Information, Computer and Communication Security, ASIACCS 2009, held in Sydney, Australia, on 10-12 March 2009. The conference is sponsored by the ACM Special Interest Group on Security, Audit, and Control (SIGSAC). ASIACCS 2009 is supported by Information and Networked Systems Security Research (INSS) at Macquarie University and Centre of Computer and Information Security at Wollongong University. This conference is also sponsored by the Australian Research Council Research Networks on Enterprise Information Infrastructures (EII) and Singapore Management University. We are grateful for their support. The ASIACCS series is built on the success of ACM Conference on Computer and Communications Security (CCS) and ACM Transactions on Information and System Security (TISSEC) and aims at bringing together researchers and practitioners working in the areas of information, computer and communications security from universities, industry and government sectors. The conference received 147 paper submissions. Each paper was carefully reviewed by at least three members of the program committee on the basis of its significance, novelty, and technical quality. The reviewing process was double-blind and papers were selected by the program committee following online discussion on the reviewers' reports. Of the papers submitted, 33 regular papers and 7 short papers were selected for presentation at the conference. The accepted papers are from around the world including USA, Canada, China, Belgium, France, India, UK, Japan, Australia, Finland, Singapore, Sweden, Germany, Korea and Italy.
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.
How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".