Minghao Shao

According to our database, Minghao Shao authored at least 44 papers between 2021 and 2026.

Collaborative distances:

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

2026

Code for All: Educational Applications of the "Vibe Coding" Hackathon in Programming Education across All Skill Levels.

Ashley J. Chen, Yijia Cao, Minghao Shao, Ramesh Karri, Muhammad Shafique

CoRR, April, 2026

Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models.

Muhammad Shafique, Abdul Basit, Muhammad Abdullah Hanif, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Minghao Shao

CoRR, April, 2026

RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary Programs.

Parteek Jamwal, Minghao Shao, Boyuan Chen, Achyuta Muthuvelan, Asini Subanya, Boubacar Ballo, Kashish Satija, Mariam Shafey, Mohamed Mahmoud, Moncif Dahaji Bouffi, Pasindu Wickramasinghe, Siyona Goel, Yaakulya Sabbani, Hakim Hacid, Mthandazo Ndhlovu, Eleanna Kafeza, Sanjay Rawat, Muhammad Shafique

CoRR, April, 2026

Configuration Over Selection: Hyperparameter Sensitivity Exceeds Model Differences in Open-Source LLMs for RTL Generation.

Minghao Shao, Zeng Wang, Weimin Fu, Xiaolong Guo, Johann Knechtel, Ozgur Sinanoglu, Ramesh Karri, Muhammad Shafique

CoRR, April, 2026

From Natural Language to Silicon: The Representation Bottleneck in LLM Hardware Design.

Weimin Fu, Zeng Wang, Minghao Shao, Johann Knechtel, Ozgur Sinanoglu, Ramesh Karri, Muhammad Shafique, Xiaolong Guo

CoRR, April, 2026

HarmChip: Evaluating Hardware Security Centric LLM Safety via Jailbreak Benchmarking.

Zeng Wang, Minghao Shao, Weimin Fu, Prithwish Basu Roy, Xiaolong Guo, Ramesh Karri, Muhammad Shafique, Johann Knechtel, Ozgur Sinanoglu

CoRR, April, 2026

AI In Cybersecurity Education - Scalable Agentic CTF Design Principles and Educational Outcomes.

Haoran Xi, Minghao Shao, Kimberly Milner, Venkata Sai Charan Putrevu, Nanda Rani, Meet Udeshi, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Siddharth Garg, Sandeep Kumar Shukla, Farshad Khorrami, Alon Hillel-Tuch, Muhammad Shafique, Ramesh Karri

CoRR, March, 2026

Synthesis-in-the-Loop Evaluation of LLMs for RTL Generation: Quality, Reliability, and Failure Modes.

Weimin Fu, Zeng Wang, Minghao Shao, Ramesh Karri, Muhammad Shafique, Johann Knechtel, Ozgur Sinanoglu, Xiaolong Guo

CoRR, March, 2026

GroundCount: Grounding Vision-Language Models with Object Detection for Mitigating Counting Hallucinations.

Boyuan Chen, Minghao Shao, Siddharth Garg, Ramesh Karri, Muhammad Shafique

CoRR, March, 2026

CyberExplorer: Benchmarking LLM Offensive Security Capabilities in a Real-World Attacking Simulation Environment.

Nanda Rani, Kimberly Milner, Minghao Shao, Meet Udeshi, Haoran Xi, Venkata Sai Charan Putrevu, Saksham Aggarwal, Sandeep K. Shukla, Prashanth Krishnamurthy, Farshad Khorrami, Muhammad Shafique, Ramesh Karri

CoRR, February, 2026

TrojanGYM: A Detector-in-the-Loop LLM for Adaptive RTL Hardware Trojan Insertion.

Saideep Sreekumar, Zeng Wang, Akashdeep Saha, Weihua Xiao, Minghao Shao, Muhammad Shafique, Ozgur Sinanoglu, Ramesh Karri, Johann Knechtel

CoRR, January, 2026

D3QN-Guided Sand Cat Swarm Optimization with Hybrid Exploration for Multi-Objective Cloud Task Scheduling.

Minghao Shao, Ying Guo, Jibin Wang, Hu Zhang

Algorithms, 2026

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

Minghao Shao, Nanda Rani, Kimberly Milner, Haoran Xi, Meet Udeshi, Saksham Aggarwal, Venkata Sai Charan Putrevu, Sandeep K. Shukla, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs.

Boyuan Chen, Minghao Shao, Abdul Basit, Siddharth Garg, Muhammad Shafique

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

TrojanLoC: LLM-based Framework for RTL Trojan Localization.

Weihua Xiao, Zeng Wang, Minghao Shao, Raghu Vamshi Hemadri, Ozgur Sinanoglu, Muhammad Shafique, Johann Knechtel, Siddharth Garg, Ramesh Karri

CoRR, December, 2025

NetDeTox: Adversarial and Efficient Evasion of Hardware-Security GNNs via RL-LLM Orchestration.

Zeng Wang, Minghao Shao, Akashdeep Saha, Ramesh Karri, Johann Knechtel, Muhammad Shafique, Ozgur Sinanoglu

CoRR, December, 2025

VeriDispatcher: Multi-Model Dispatching through Pre-Inference Difficulty Prediction for RTL Generation Optimization.

Zeng Wang, Weihua Xiao, Minghao Shao, Raghu Vamshi Hemadri, Ozgur Sinanoglu, Muhammed Shafique, Ramesh Karri

CoRR, November, 2025

From Trace to Line: LLM Agent for Real-World OSS Vulnerability Localization.

Haoran Xi, Minghao Shao, Brendan Dolan-Gavitt, Muhammad Shafique, Ramesh Karri

CoRR, October, 2025

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

Boyuan Chen, Minghao Shao, Abdul Basit, Siddharth Garg, Muhammad Shafique

CoRR, June, 2025

QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges.

Abdul Basit, Minghao Shao, Haider Asif, Nouhaila Innan, Muhammad Kashif, Alberto Marchisio, Muhammad Shafique

CoRR, June, 2025

SALAD: Systematic Assessment of Machine Unlearing on LLM-Aided Hardware Design.

Zeng Wang, Minghao Shao, Rupesh Raj Karn, Likhitha Mankali, Jitendra Bhandari, Ramesh Karri, Ozgur Sinanoglu, Muhammad Shafique, Johann Knechtel

CoRR, June, 2025

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution.

Minghao Shao, Haoran Xi, Nanda Rani, Meet Udeshi, Venkata Sai Charan Putrevu, Kimberly Milner, Brendan Dolan-Gavitt, Sandeep Kumar Shukla, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique

CoRR, May, 2025

VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination.

Zeng Wang, Minghao Shao, Jitendra Bhandari, Likhitha Mankali, Ramesh Karri, Ozgur Sinanoglu, Muhammad Shafique, Johann Knechtel

CoRR, March, 2025

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

Zeng Wang, Minghao Shao, Mohammed Nabeel, Prithwish Basu Roy, Likhitha Mankali, Jitendra Bhandari, Ramesh Karri, Ozgur Sinanoglu, Muhammed Shafique, Johann Knechtel

CoRR, March, 2025

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

Meet Udeshi, Minghao Shao, Haoran Xi, Nanda Rani, Kimberly Milner, Venkata Sai Charan Putrevu, Brendan Dolan-Gavitt, Sandeep Kumar Shukla, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique

CoRR, February, 2025

EVDO: An Enhanced Framework for Deepfake Detection in Videos Through Optical Flow and Temporal-Spatial Analysis.

Mohammed Mouad Melouk, Minghao Shao, Abdul Basit, Chaimae Abouzahir, Ruilin Zhou, Muhammad Shafique

IEEE Access, 2025

Fast and Effective Early Termination for Simple Ranking Functions.

Jinrui Gou, Antonio Mallia, Yifan Liu, Minghao Shao, Torsten Suel

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation.

Abdul Basit, Minghao Shao, Muhammad Haider Asif, Nouhaila Innan, Muhammad Kashif, Alberto Marchisio, Muhammad Shafique

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

SALAD: Systematic Assessment of Machine Unlearning on LLM-Aided Hardware Design.

Zeng Wang, Minghao Shao, Rupesh Raj Karn, Likhitha Mankali, Jitendra Bhandari, Ramesh Karri, Ozgur Sinanoglu, Muhammad Shafique, Johann Knechtel

Proceedings of the 7th ACM/IEEE Symposium on Machine Learning for CAD, 2025

Solving the Problem of Task Offloading in Heterogeneous Edge Computing Environments Using Deep Q-Networks and Attention Mechanisms.

Huifeng Liu, Jintao Li, Hu Zhang, Hongjing Yao, Lijuan Xu, Minghao Shao, Hongyu Xu

Proceedings of the Knowledge Science, Engineering and Management, 2025

EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities.

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 R. Narasimhan, Ramesh Karri, Ofir Press

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

NYU CTF Bench: 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Leveraging Separated World Model for Exploration in Visually Distracted Environments.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes.

Jinrui Gou, Yifan Liu, Minghao Shao, Torsten Suel

Proceedings of the IEEE International Conference on Big Data, 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