Minghao Shao

Orcid: 0009-0002-4467-6224

According to our database1, Minghao Shao authored at least 23 papers between 2021 and 2025.

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Bibliography

2025
Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark.
CoRR, August, 2025

PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation.
CoRR, July, 2025

MetaCipher: A General and Extensible Reinforcement Learning Framework for Obfuscation-Based Jailbreak Attacks on Black-Box LLMs.
CoRR, June, 2025

QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges.
CoRR, June, 2025

SALAD: Systematic Assessment of Machine Unlearing on LLM-Aided Hardware Design.
CoRR, June, 2025

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution.
CoRR, May, 2025

VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination.
CoRR, March, 2025

VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding.
CoRR, March, 2025

D-CIPHER: Dynamic Collaborative Intelligent Agents with Planning and Heterogeneous Execution for Enhanced Reasoning in Offensive Security.
CoRR, February, 2025

Fast and Effective Early Termination for Simple Ranking Functions.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024
EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges.
CoRR, 2024

NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security.
CoRR, 2024

SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring.
CoRR, 2024

DIDA: Denoised Imitation Learning based on Domain Adaptation.
CoRR, 2024

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges.
CoRR, 2024

Survey of Different Large Language Model Architectures: Trends, Benchmarks, and Challenges.
IEEE Access, 2024

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Leveraging Separated World Model for Exploration in Visually Distracted Environments.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Energy Consumption Prediction Method for Refrigeration Systems Based on Adversarial Networks and Transformer Networks.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models.
Proceedings of the International Conference on Machine Learning, 2023

2022
Learning to Prune: General and Efficient Approximate Nearest Neighbor Search with Direction Navigating Graph.
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.
Proceedings of the 14th IEEE International Conference on ASIC, 2021


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