About Me

I am an Assistant Professor at the Department of Computer Science at University of Central Florida. Prior that, I obtained Ph.D. at the Department of Intelligent Systems Engineering at Indiana University Bloomington in 2023. Before that, I obtained my Bachelor’s degree at Shandong University in 2018. My research interests mainly lie in machine learning security, especially backdoor attacks/defense for AI models and AI Data Privacy Protection.

I have two fully funded Ph.D. positions available for Fall 2025. The international applicants deadline is December 1st, the domestic applicants deadline is July,1st. If you’re interested, please visit the UCF CS Program and Application Requirements for more details, and send your CV and transcript to me.

Research Interest

• Trustworthy Learning
• Robust and Efficient Data Science
• AI Data Privacy Protection

News

• 09/2024: One paper is accepted by NeurIPS 2024.
• 09/2024: Two papers are accepted by EMNLP 2024.
• 07/ 2024: SSL-Cleanse is accepted by ECCV 2024.
• 06/ 2024, I am happy to co-organize DAC Early Career Workshop.
• 05/2024: OFHE is accepted by ISLPED 2024.
• 05 / 2024: CR-UTP is accepted by ACL Findings 2024.
• 05/2024, I am honored to receive travel support to participate in the 2024 NSF SaTC Workshop in Chicago, IL. Thanks to the NSF and the organizing team!
• 03 / 2024: TrojFSP is accepted by NAACL 2024.
• 02 / 2024: Happy to join UCF as an assistant professor in CS department!
• 12 / 2023: Passed Thesis Defense!
• 09 / 2023: TrojLLM is accepted by NeurIPS 2023.
• 04 / 2023: I am selected as DAC Young Fellow 2023.
• 02 / 2023: TrojViT is accepted by CVPR 2023.
• 02 / 2023: Primer is accepted by DAC 2023.

Selected Publications

• SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning, ECCV 2024.
  • Mengxin Zheng, Jiaqi Xue, Zihao Wang, Xun Chen, Qian Lou, Lei Jiang, Xiaofeng Wang.
• CR-UTP: Certified Robustness against Universal Text Perturbations, ACL Findings 2024.
  • Qian Lou, Xin Liang, Jiaqi Xue, Yancheng Zhang, Rui Xie, Mengxin Zheng.
• TrojFSP: Trojan Insertion in Few-shot Prompt Tuning, NAACL 2024 (Oral)
  • Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang.
• TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models, NeurIPS 2023
  • Jiaqi Xue, Mengxin Zheng, Ting Hua, Yilin Shen, Yepeng Liu, Ladislau Bölöni, Qian Lou.
• TrojViT: Trojan Insertion in Vision Transformers, CVPR 2023
  • Mengxin Zheng, Qian Lou, Lei Jiang
• Primer: Fast Private Transformer Inference on Encrypted Data, DAC 2023
  • Mengxin Zheng, Qian Lou, Lei Jiang
• Cofhe: Software and hardware co-design for fhe-based machine learning as a service, Frontiers in Electronics 2023
  • Mengxin Zheng, Lei Ju, Lei Jiang

Work experience

• Research Intern: May 2023 - August 2023
  • Knox Security Team, Samsung Research America

Teaching experience

• CAP 6938 ST: Trustworthy Machine Learning: August 2024 - December 2024
• E501 Introduction to Computer Engineering: August 2023 - December 2023
• E340/542 Introduction to Computational BioEngineering: August 2022 - December 2022

Service

• IGSC 2024 (The 15th International Green and Sustainable Computing Conference) Publicity Chair
• DAC Early Career Workshop 2024 Co-organizer
• NSF WSCS Workshop 2024 Moderator

• FastPath Workshop 2023 Web and Publicity Chair

• Reviewer
  • International Conference on Learning Representations(ICLR)
  • Conference on Neural Information Processing Systems Reviewer (NeurIPS)
  • International Conference on Artificial Intelligence and Statistics (AISTATS)
  • Conference on Computer Vision and Pattern Recognition Reviewer (CVPR)
  • IEEE Transactions on Dependable and Secure Computing (TDSC)