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Hong Kong
Joined February 2022
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I just published When $951 Buys $8.5 Million: The Term Finance Governance Attack Explained medium.com/@martinyeunghk/wh…
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I just published The Sandbox SAND Bridge Exploit: A Technical Deep Dive into the approveAndCall Delegate Hijack… medium.com/@martinyeunghk/th…
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I just published The Hidden Cost of ‘Lossless’ Pruning — A Deep Dive into Pi Agent Harness medium.com/@martinyeunghk/th…
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I just published 一行程式碼缺失,千萬美元蒸發:SecondFi 錢包 Ed25519 簽名漏洞全解密 medium.com/@martinyeunghk/%E…
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I just published In-depth analysis of the Coldcard hardware wallet RNG vulnerability: How a macro definition led to… medium.com/p/the-coldcard-en… #Coldcard #blockchain #security #wallet
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I just published NIST AI Standards Evolution: A Deep Technical Analysis from a Cryptographic Perspective medium.com/p/nist-ai-standar… #security #ai #nist #privacy
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I just published Testing LLM Guardrails in Production: A Real‑World Harness for @martin_yeung/llm-up-guardrail medium.com/p/testing-llm-gua… #AI #LLM #Security #Privacy
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Your AI chatbot just cost you $5,000 at 3 AM. Prompt injection is the #1 OWASP risk—but most guardrails are Python-only or SaaS-locked. I built a security tool alternative that actually stops scams. Here’s how @martin_yeung/llm-up-guardrail saves your infra and sleep) 🧵👇
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Get started in 30 seconds: npm install @martin_yeung/llm-up-guardrail Stop the 3 AM alerts. Protect your users. ☕ Support: ko-fi.com/martinyeung
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How does it stack up? • LLM Guard? no multi-turn. • Lakera? SaaS lock-in + recurring costs. • JailGuard? Single-threat (injection only). @martin_yeung/llm-up-guardrail is the only TypeScript-native tool with: ✅ Scam-first design ✅ Behavioral tracking ✅ Zero vendor lock-in
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Built for the Node.js/TypeScript ecosystem: ⚡️ Zero runtime dependencies (no supply-chain bloat) 🔷 Full ESM + CJS, complete TypeScript types 🔌 Drop-in Express Middleware 🦜 LangChain-style wrapper No external API calls required. Your data stays self-hosted and private.
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The Anti-Scam engine is the flagship, but covers OWASP Top 10: ✅ InjectionGuard (Jailbreak/DAN detection) ✅ PIIGuard (API keys, SSN, credit cards + entropy detection) ✅ ToxicityGuard (Self-harm, hate speech) ✅ URLSafetyScanner (Brand impersonation, shorteners, punycode)
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Most guardrails stop at regex. @martin_yeung/llm-up-guardrail goes 3 layers deep: 1️⃣ Pattern Matching (20+ curated EN/CH scam rules) 2️⃣ LLM Semantic Analysis (OpenAI/Anthropic for ambiguous cases) 3️⃣ Behavioral Tracking (catches scams that unfold over multiple turns)
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It’s 3 AM. You wake up to a alert. Your shiny new AI support bot just handed out gift cards to a scammer who asked nicely. This isn't a hypothetical. It's happening to production systems right now. Most models don't understand social engineering. They just follow instructions.
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I just published From Injection Attacks to Scams: @martin_yeung/llm-up-guardrail Delivers Production‑Grade AI Security medium.com/p/from-injection-… #AI #LLM #Security #privacy #AIAgent
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I just published Beyond Data Privacy: New Privacy Risks for Large Language Models (arXiv:2509.14278, 2026) medium.com/p/beyond-data-pri…
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I just published DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation medium.com/p/dspark-confiden… #LLM #DSpark
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I just published Flock: Fast Proving for Batch Boolean Computations medium.com/p/flock-fast-prov…
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I just published PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization medium.com/p/pig-privacy-jai…
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I just published Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States (Denis Peskoff, Joe… medium.com/p/freeing-the-law… #LOCUS #law #AI
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