Mengxin Zheng

Orcid: 0000-0001-6901-9912

According to our database1, Mengxin Zheng authored at least 18 papers between 2022 and 2024.

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Bibliography

2024
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models.
CoRR, 2024

OFHE: An Electro-Optical Accelerator for Discretized TFHE.
CoRR, 2024

EGPDI: identifying protein-DNA binding sites based on multi-view graph embedding fusion.
Briefings Bioinform., 2024

TrojFSP: Trojan Insertion in Few-shot Prompt Tuning.
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.
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.
Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Jailbreaking LLMs with Arabic Transliteration and Arabizi.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning.
CoRR, 2023

TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models.
CoRR, 2023

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning.
CoRR, 2023

TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models.
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.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Primer: Fast Private Transformer Inference on Encrypted Data.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

TrojViT: Trojan Insertion in Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption.
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022


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