vix.ing · top · new · best · stats · spec

Shao, Minghao

  1. An Empirical Evaluation of LLMs for Solving Offensive Security Challenges
    2024/02/19 by Minghao Shao, Shao, Minghao, Boyuan Chen +11 · 4 voices · 3 citations
    Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #cs.CR
  2. NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
    2024/06/08 by Minghao Shao, Sofija Jancheska, Shao, Minghao +23 · 24 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information and Cyber Security #Machine Learning (cs.LG) #Network Security and Intrusion Detection
  3. EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities
    2024/09/24 by Talor Abramovich, Abramovich, Talor, Meet Udeshi +29 · 14 citations
    Decision Sciences · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Modeling, Simulation, and Optimization #Simulation Techniques and Applications
  4. VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding
    2025/03/17 by Wang, Zeng, Shao, Minghao, Nabeel, Mohammed +7 · 7 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)
  5. VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination
    2025/03/17 by Wang, Zeng, Shao, Minghao, Bhandari, Jitendra +5 · 6 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)
  6. SALAD: Systematic Assessment of Machine Unlearning on LLM-Aided Hardware Design
    2025/06/02 by Wang, Zeng, Shao, Minghao, Karn, Rupesh +6 · 7 citations
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. D-CIPHER: Dynamic Collaborative Intelligent Multi-Agent System with Planner and Heterogeneous Executors for Offensive Security
    2025/02/15 by Meet Udeshi, Minghao Shao, Udeshi, Meet +21 · 5 citations
    Computer Science · #Network Security and Intrusion Detection #Multi-Agent Systems and Negotiation #Advanced Malware Detection Techniques
  8. SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models
    2023/06/19 by Wan, Shenghua, Wang, Yucen, Shao, Minghao +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark
    2025/08/05 by Shao, Minghao, Rani, Nanda, Milner, Kimberly +9 · 1 citation
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  10. A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG
    2025/03/04 by Abdul Basit, Nouhaila Innan, Basit, Abdul +11 · 3 citations
    Computer Science · #68T50 (Primary) #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #I.2.7 #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Software Engineering (cs.SE)
  11. CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution
    2025/05/21 by Shao, Minghao, Xi, Haoran, Rani, Nanda +9 · 4 citations
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)