docs(paper): update HomeSec-Bench paper with M5 Pro results and 7-model leaderboard

- Switch to 1-column onecolumn IEEEtran format
- Update hardware: M3 24GB → M5 Pro 64GB (18 cores, 30 GPU cores)
- Expand model coverage: 3 configs → 7 models
  - Local: Qwen3.5 9B/27B/35B-MoE/122B-MoE (GGUF)
  - Cloud: GPT-5.4, GPT-5.4-mini, GPT-5.4-nano
- Add TTFT + tok/s inference performance table
- Add cross-model event deduplication breakdown table (8 tests × 7 models)
- Update abstract, contributions, results, failure taxonomy, deployment matrix
- Key finding: Qwen3.5-9B scores 93.8% (only 4.1pp below GPT-5.4), and
  Qwen3.5-35B-MoE has lower TTFT (435ms) than all cloud models tested

Author: solderzzc