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- Add binary search for O(log N) shrinkage detection - Implement paper-style flush with FLUSH TABLES WITH READ LOCK + mtime polling - Use ls -s --block-size=1 for accurate disk block measurement - Add K-of-N attack implementation with multiple scoring methods - Configure MariaDB 10.3 with compression+encryption support - Successfully detect secrets at 92-97 bytes vs random at 100-150 bytes 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
- Add eval_kofn.py: configurable trials with accuracy/query metrics - Add analyze_kofn.py: generate summary tables and comparisons - Add run_eval_experiments.sh: automated experiment runner - Support multiple datasets (english, random, email) - Track precision/recall/F1 and DB query counts 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
- Random data: 90% accuracy (n=20, k=3), 76% (n=40, k=5) - English words: 36.7% accuracy (pattern similarity) - Binary search: O(log N) efficiency confirmed - Results match G-DBREACH paper findings 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
- Added full parameter grid: n={20,40,100}, k={1,5,10}
- Random dataset: 50-88% accuracy across configurations
- English dataset: 40-88% accuracy
- Query efficiency: ~10-12 queries per candidate (O(log N))
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Chart.js로 4개의 그래프 추가 - 정확도 비교 (Random vs English) - n, k 파라미터별 결과 시각화 - 논문 스타일 한국어 보고서 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
- Added complete English results: n={20,40,100}, k={1,5,10}
- English n=20 k=10: 81.1%, n=40 k=10: 78.8%
- Updated charts with full data
- Enhanced paper comparison table
- Added key observations matching paper findings
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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