Mengxin Zheng

According to our database, Mengxin Zheng authored at least 27 papers between 2022 and 2025.

Collaborative distances:

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

2025

Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators.

Jiaqi Xue, Yifei Zhao, Mengxin Zheng, Fan Yao, Yan Solihin, Qian Lou

CoRR, July, 2025

zkVC: Fast Zero-Knowledge Proof for Private and Verifiable Computing.

Yancheng Zhang, Mengxin Zheng, Xun Chen, Jingtong Hu, Weidong Shi, Lei Ju, Yan Solihin, Qian Lou

CoRR, April, 2025

Measuring Computational Universality of Fully Homomorphic Encryption.

Jiaqi Xue, Xin Xin, Wei Zhang, Mengxin Zheng, Qianqian Song, Minxuan Zhou, Yushun Dong, Dongjie Wang, Xun Chen, Jiafeng Xie, Liqiang Wang, David Mohaisen, Hongyi Wu, Qian Lou

CoRR, April, 2025

TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation.

Mayank Kumar, Jiaqi Xue, Mengxin Zheng, Qian Lou

CoRR, March, 2025

Uncovering the Hidden Threat of Text Watermarking from Users with Cross-Lingual Knowledge.

Mansour Al Ghanim, Jiaqi Xue, Rochana Prih Hastuti, Mengxin Zheng, Yan Solihin, Qian Lou

CoRR, February, 2025

MLC-DTA: Drug-target affinity prediction based on multi-level contrastive learning and equivariant graph neural networks.

Mengxin Zheng, Guicong Sun, Yongxian Fan

Neurocomputing, 2025

CipherPrune: Efficient and Scalable Private Transformer Inference.

Yancheng Zhang, Jiaqi Xue, Mengxin Zheng, Mimi Xie, Mingzhe Zhang, Lei Jiang, Qian Lou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Corrosion Hammer: A Self-Activated Bit-Flip Attack to the Processing-In-Memory Accelerator.

Zihao Yang, Mengxin Zheng, Shengyu Fan, Qian Lou, Rui Hou, Dan Meng, Mingzhe Zhang

Proceedings of the 22nd ACM International Conference on Computing Frontiers, 2025

2024

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models.

Jiaqi Xue, Mengxin Zheng, Yebowen Hu, Fei Liu, Xun Chen, Qian Lou

CoRR, 2024

OFHE: An Electro-Optical Accelerator for Discretized TFHE.

Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang

CoRR, 2024

EGPDI: identifying protein-DNA binding sites based on multi-view graph embedding fusion.

Mengxin Zheng, Guicong Sun, Xueping Li, Yongxian Fan

Briefings Bioinform., 2024

HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning.

Yancheng Zhang, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TrojFSP: Trojan Insertion in Few-shot Prompt Tuning.

Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

TrojFair: Trojan Fairness Attacks.

Jiaqi Xue, Mengxin Zheng, Yi Sheng, Lei Yang, Qian Lou, Lei Jiang

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

OFHE: An Electro-Optical Accelerator for Discretized TFHE.

Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers.

Jiaqi Xue, Qian Lou, Mengxin Zheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Jailbreaking LLMs with Arabic Transliteration and Arabizi.

Mansour Al Ghanim, Saleh Almohaimeed, Mengxin Zheng, Yan Solihin, Qian Lou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning.

Mengxin Zheng, Jiaqi Xue, Zihao Wang, Xun Chen, Qian Lou, Lei Jiang, Xiaofeng Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models.

Qian Lou, Xin Liang, Jiaqi Xue, Yancheng Zhang, Rui Xie, Mengxin Zheng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

TrojFSP: Trojan Insertion in Few-shot Prompt Tuning.

Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang

CoRR, 2023

TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models.

Jiaqi Xue, Yepeng Liu, Mengxin Zheng, Ting Hua, Yilin Shen, Ladislau Bölöni, Qian Lou

CoRR, 2023

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning.

Mengxin Zheng, Jiaqi Xue, Xun Chen, Lei Jiang, Qian Lou

CoRR, 2023

TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models.

Jiaqi Xue, Mengxin Zheng, Ting Hua, Yilin Shen, Yepeng Liu, Ladislau Bölöni, Qian Lou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PriML: An Electro-Optical Accelerator for Private Machine Learning on Encrypted Data.

Mengxin Zheng, Fan Chen, Lei Jiang, Qian Lou

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Primer: Fast Private Transformer Inference on Encrypted Data.

Mengxin Zheng, Qian Lou, Lei Jiang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

TrojViT: Trojan Insertion in Vision Transformers.

Mengxin Zheng, Qian Lou, Lei Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption.

Mengxin Zheng, Qian Lou, Fan Chen, Lei Jiang, Yongxin Zhu

Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022