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billy1900

  • 🔭 I’m interested in System Security and HFT Quant.

What's New!

  • [07/2024] I was invited to attend Tianyan Capital Open Day.
  • [04/2024] I was invited to attend Cubist Hackathon by Point72 and got 1st place.
  • [04/2024] I was invited to attend Schonfeld Early Engagement (PhD) Summit and got 2nd place.
  • [01/2024] I was invited to attend Five Rings Winter Micro Reception.
  • [11/2023] I joined CAMEL-AI to work on RAG, Memory section of LLM Agent.
  • [10/2023] Our TCT project has received $15,000 grants from Covalent.
  • [09/2023] I joined FuzzLand as security researcher focusing on DARPA AIxCC.
  • [09/2023] We have made our TCT mechanism code public to ensure safety features of Blockchain system.
  • [02/2023] I joined Nethermind as a ZKP researcher to build Verkle tree.
  • [05/2022] I joined Binance as Blockchain Security Intern.

Languages and Tools:

bash c cplusplus docker git go hexo html5 javascript linux mongodb mysql nginx nodejs oracle postgresql python pytorch redis scikit_learn spring tensorflow vuejs

Yangtze's Projects

awesome-ai-for-cybersecurity icon awesome-ai-for-cybersecurity

Awesome list of AI for cybersecurity including network (network traffic analysis and intrusion detection), endpoint (anti-malware), application (WAF or database firewalls), user (UBA), process behavior (anti-fraud).

badnet icon badnet

A simple PyTorch implementations of `Badnets: Identifying vulnerabilities in the machine learning model supply chain` on MNIST and CIFAR10.

cuckoo3 icon cuckoo3

Cuckoo 3 is a Python 3 open source automated malware analysis system.

dpll-algorithm icon dpll-algorithm

华中科技大学数据结构课程设计2018 An algorithm to solve SAT problem

drakvuf-sandbox icon drakvuf-sandbox

DRAKVUF Sandbox - automated hypervisor-level malware analysis system

linkedin-crawl icon linkedin-crawl

crawl the linkedin profile page including name, college, location, description, experience, education.

monocle icon monocle

Tooling backed by an LLM for performing natural language searches against compiled target binaries. Search for encryption code, password strings, vulnerabilities, etc.

noise-adaption-layer icon noise-adaption-layer

This is the Pytorch implementation of paper--Training deep neural-networks using a noise adaptation layer.

optimized-dpll icon optimized-dpll

华中科技大学数据结构课程设计2018 the optimizetion of DPLL

trojannet icon trojannet

This is the Pytorch implementation of TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks.

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