Cheng, Minhao
Pennsylvania State University
7 papers on CoChatORCID 0000-0003-3965-4215
Most cited papers
- Verified
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach
Cheng, M., Le, T., Chen, P.-Y., Yi, J., Zhang, H., & Hsieh, C.-J. (2018) · arXiv
Adversarial Robustness in Machine LearningSoftware Testing and Debugging Techniques
Cited by 269
- Verified
On the Robustness of Self-Attentive Models
Hsieh, Y.-L., Cheng, M., Juan, D.-C., Wei, W., Hsu, W.-L., & Hsieh, C.-J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 96
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Improving Your Model Ranking on Chatbot Arena by Vote Rigging
Min, R., Pang, T., Du, C., Liu, Q., Cheng, M., & Lin, M. (2025) · arXiv
Adversarial Robustness in Machine LearningSpam and Phishing Detection
Cited by 12
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Where Am I From? Identifying Origin of LLM-generated Content
Li, L., Bai, Y., & Cheng, M. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection
Cited by 7
- Verified
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
Liu, Y., Zhu, Z., Gong, C., Cheng, M., Hsieh, C.-J., & You, Y. (2024) · arXiv
Stochastic Gradient Optimization TechniquesTopic Modeling
Cited by 5
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R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model
Zhou, H., Li, X., Wang, R., Cheng, M., Zhou, T., & Hsieh, C.-J. (2025) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 0
- Verified
Efficient Non-Parametric Optimizer Search for Diverse Tasks
Wang, R., Xiong, Y., Cheng, M., & Hsieh, C.-J. (2022) · arXiv
Metaheuristic Optimization Algorithms ResearchAdvanced Multi-Objective Optimization Algorithms
Cited by 0
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