Selected Areas in Cryptography: 11th International Workshop, SAC 2004, Waterloo, Canada, August 9-10, 2004, Revised Selected Papers
Bibliographic record
Abstract
Stream Cipher Cryptanalysis.- An Improved Correlation Attack on A5/1.- Extending the Resynchronization Attack.- A New Simple Technique to Attack Filter Generators and Related Ciphers.- Side-Channel Analysis.- On XTR and Side-Channel Analysis.- Provably Secure Masking of AES.- Block Cipher Design.- Perfect Diffusion Primitives for Block Ciphers.- Security of the MISTY Structure in the Luby-Rackoff Model: Improved Results.- FOX : A New Family of Block Ciphers.- Efficient Implementations.- A Note on the Signed Sliding Window Integer Recoding and a Left-to-Right Analogue.- Fast Irreducibility Testing for XTR Using a Gaussian Normal Basis of Low Complexity.- Modular Number Systems: Beyond the Mersenne Family.- Efficient Doubling on Genus Two Curves over Binary Fields.- Secret Key Cryptography I.- About the Security of Ciphers (Semantic Security and Pseudo-Random Permutations).- A Subliminal Channel in Secret Block Ciphers.- Blockwise Adversarial Model for On-line Ciphers and Symmetric Encryption Schemes.- Cryptanalysis.- Cryptanalysis of a White Box AES Implementation.- Predicting Subset Sum Pseudorandom Generators.- Collision Attack and Pseudorandomness of Reduced-Round Camellia.- Cryptographic Protocols.- Password Based Key Exchange with Mutual Authentication.- Product Construction of Key Distribution Schemes for Sensor Networks.- Deterministic Key Predistribution Schemes for Distributed Sensor Networks.- On Proactive Secret Sharing Schemes.- Secret Key Cryptography II.- Efficient Constructions of Variable-Input-Length Block Ciphers.- A Sufficient Condition for Optimal Domain Extension of UOWHFs.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.134 | 0.075 |
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 source (direct Gemma or distilled Codex), 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".