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harrychangtw/README.md

👋 Hi, I'm Harry (Chi-Wei Chang).

I'm a CS undergraduate at NTU, working mostly on LLM safety. I've first-authored FORTRESS (TMLR) on training-free safety classification and the PATCH dataset (EACL SRW), and I currently research at CyCraft. I also teach: a hands-on LLM jailbreak attack & defense lab at AIS3 2026, and the ML course at SITCON Camp 2026.

Away from the terminal, I shoot on a rangefinder, edit video, and debate.

Most of what I make lives in one place:

Pinned Loading

  1. fortress fortress Public

    Tuning-free retrieval ensemble for LLM safety. 91.6% F1, 5× faster than leading fine-tuned classifiers. Official TMLR 2025 implementation.

    Python

  2. PATCH PATCH Public

    Traditional Chinese adversarial safety dataset: 820K+ prompts across 13 MLCommons hazard categories, with lightweight safety classifiers (Llama Guard 3 1B, RoBERTa, Longformer). ISCSLP 2026.

    Python

  3. ais3-2026-llm-jailbreak-lab ais3-2026-llm-jailbreak-lab Public

    AIS3 2026 LLM 越獄攻擊與安全防禦實作｜hands-on 學員素材（self-contained Colab notebook）

    Jupyter Notebook 9 2

  4. sitcon-camp-2026-ml-pt2 sitcon-camp-2026-ml-pt2 Public

    Interactive ML stations for SITCON Camp 2026: precomputed ONNX/JSON artifacts, live Qwen inference load-balanced across 4 GPU-pinned replicas, no training in the browser

    TypeScript 1

  5. portfolio-monorepo portfolio-monorepo Public

    Next.js 15 portfolio monorepo with dual-domain architecture, an Obsidian-style knowledge graph, a 100 Real Experience Score, and a file-based Markdown CMS.

    TypeScript 1 1

  6. 2813B-Programming 2813B-Programming Public archive

    C++