Minghao Shao

According to our database, Minghao Shao authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges.

Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E. Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik Narasimhan, Ramesh Karri, Ofir Press

CoRR, 2024

NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security.

Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique

CoRR, 2024

SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring.

Kaichen Huang, Minghao Shao, Shenghua Wan, Hai-Hang Sun, Shuai Feng, Le Gan, De-Chuan Zhan

CoRR, 2024

DIDA: Denoised Imitation Learning based on Domain Adaptation.

Kaichen Huang, Hai-Hang Sun, Shenghua Wan, Minghao Shao, Shuai Feng, Le Gan, De-Chuan Zhan

CoRR, 2024

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges.

Minghao Shao, Boyuan Chen, Sofija Jancheska, Brendan Dolan-Gavitt, Siddharth Garg, Ramesh Karri, Muhammad Shafique

CoRR, 2024

Survey of Different Large Language Model Architectures: Trends, Benchmarks, and Challenges.

Minghao Shao, Abdul Basit, Ramesh Karri, Muhammad Shafique

IEEE Access, 2024

Energy Consumption Prediction Method for Refrigeration Systems Based on Adversarial Networks and Transformer Networks.

Hu Zhang, Huifeng Liu, Youli Zhang, Ying Guo, Hongjun Dai, Minghao Shao, Hongyu Xu

Proceedings of the Knowledge Science, Engineering and Management, 2024

2023

SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models.

Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning to Prune: General and Efficient Approximate Nearest Neighbor Search with Direction Navigating Graph.

Gang Wang, Xingxing Ke, Jian Hu, Qianling Li, Minghao Shao, Jianfeng Fan

Proceedings of the DSDE 2022: The 5th International Conference on Data Storage and Data Engineering, Sanya, China, February 25, 2022

2021

Large Coercive Field in Hf0.5Zr0.5O2-based Capacitors with Gd Top Electrode.

Xiaoyue Zhao, Minghao Shao, Houfang Liu, Ruiting Zhao, Xichen Sun, Xiao Liu, Xiaoming Wu, Yi Yang, Tianling Ren

Proceedings of the 14th IEEE International Conference on ASIC, 2021