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Nanqing Luo

Ph.D. StudentCollege of Information Sciences & TechnologyThe Pennsylvania State University Email: nqluo@psu.edu

About Me

I am currently a Ph.D. student in the College of Information Sciences and Technology at Pennsylvania State University, advised by Dr. Peng Liu, one of the members of the CyberSecurity Lab. I also work closely with Dr. Shuo Chen and Dr. Jian Huang.

What's New

[09/2024] I attended Token 2049 at Singapore.[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.

Selected Work

[JSEA 2024] How Does Naming Affect Language Models on Code Analysis Tasks? [pdf]

Zhilong Wang, Lan Zhang, Chen Cao, Nanqing Luo, Xinzhi Luo, Peng Liu

[Web3 whitepaper] An Ethereum-compatible blockchain that explicates and ensures design-level safety properties for smart contracts. [pdf] [talk] [code]

Nikolaj Bjørner*, Shuo Chen*, Yang Chen*, Zhongxin Guo*, Peng Liu*, Nanqing Luo*.

[Academic Book] AI for Cybersecurity: A Handbook of Use Case. [pdf] [code]

Peng Liu*, Tao Liu*, Nanqing Luo*, Zitong Shang*, Haizhou Wang*, Zhilong Wang*, Lan Zhang*, and Qingtian Zou*.

[PETS 2021] DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. [pdf] [code] [talk]

Wang, W., Wang, T., Wang, L., Luo, N., Zhou, P., Song, D., & Jia, R. (2021).

[JPDC 2020] GuardHealth: Blockchain empowered secure data management and Graph Convolutional Network-enabled anomaly detection in smart healthcare. [pdf]

Wang, Z.*, Luo, N.*, & Zhou, P. (2020). * means equal contribution.

Miscellaneous

Service

Conference: Asia CCS 2022, ESORICS 2024
Journal: TIFS

Teaching Experience

Cyber 362: Cybersecurity Analytics, Fall 2022, Spring 2023
Cyber 366: Malware Analytics, Fall 2024

Interests

Cubist (Point72) Hackathon 2024, 1st place
Schonfeld Datathon 2024, 2nd place
Paradigm CTF 2022 (Web3), 55th, World
Optiver Ready Trader Go 2023, Top 64/1024
IMC Prosperity 2023, 132/7007
WorldQuant Brain Challenge 2023, Gold level

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