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Yuefeng Peng

Ph.D. Student
Umass Amherst
yuefengpeng@cs.umass.edu


About Me

Hi, I’m Yuefeng Peng, a PhD student in Computer Science at UMass Amherst, advised by Professor Amir Houmansadr. My research centers on trustworthy AI, with a current focus on the safety and privacy of generative models and large language models (LLMs).

News

Publications

  1. arXiv
    Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors
    Yuefeng Peng*, Junda Wang*, Hong Yu, Amir Houmansadr (*Equal contribution)
    arXiv preprint, Nov 2024.
    PDF BibTex

  2. ACM CCS
    Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation
    Ali Naseh*, Yuefeng Peng*, Anshuman Suri*, Harsh Chaudhari, Alina Oprea, Amir Houmansadr (*Equal contribution)
    ACM Conference on Computer and Communications Security (ACM CCS), 2025.
    PDF BibTex

  3. NDSS
    Diffence: Fencing Membership Privacy With Diffusion Models
    Yuefeng Peng, Ali Naseh, Amir Houmansadr
    Network and Distributed System Security Symposium (NDSS), 2025.
    PDF BibTex

  4. NeurIPS
    OSLO: One-Shot Label-Only Membership Inference Attacks
    Yuefeng Peng, Jaechul Roh, Subhransu Maji, Amir Houmansadr
    Advances in Neural Information Processing Systems (NeurIPS), 2024.
    PDF BibTex

  5. Appl. Soft Comput.
    Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
    Hui Liu, Bo Zhao, Minzhi Ji, Yuefeng Peng, Jiabao Guo, Peng Liu
    Applied Soft Computing (IF: 8.263), 2022.
    PDF BibTex

  6. NeurIPS-PriML
    Unsupervised Membership Inference Attacks against Machine Learning Models
    Yuefeng Peng, Bo Zhao, Hui Liu, Yang An
    NeurIPS Workshop on Privacy in Machine Learning (NeurIPS-PriML), 2021
    PDF BibTex

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