YUCHEN
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Yuchen Yang

I am a third-year P.h.D student in Department of Computer Science at Johns Hopkins University, where I'm honored to work with Prof.Yinzhi Cao. Before that, I received my M.S. in Security Informatics at Johns Hopkins University and my B.E. in Software Engineer at Shandong University.

My research interests focus on security and privacy issues in machine learning and deep learning. Currently I'm working on making privacy-preserving machine learning more accurate, e.g., accurate federated learning and differential privacy. I'm also interested in developing adversarial attacks on machine learning systems.

Email: yc [dot] yang [at] jhu [dot] edu  /  CV

News

  • 03/2023, Our paper on defending against membership inference attack has been accepted by DSN 2023.

  • 02/2023, Our paper on differentially private federated learning has been accepted by Usenix 2023.

    • Publications

  • SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models’ Safety Filters
    Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Yinzhi Cao
    Preprint, 2023
    paper | code
  • PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation
    Yuchen Yang*, Bo Hui*, Haolin Yuan*, Neil Zhenqiang Gong, Yinzhi Cao
    To appear in the Proceedings of USENIX Security Symposium, 2023
    (* Equal Contributions)
    paper | code
  • Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation
    Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Yinzhi Cao
    To appear in the Proceedings of IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) 2023
  • Addressing Heterogeneity in Federated Learning via Distributional Transformation
    Haolin Yuan*, Bo Hui*, Yuchen Yang*, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
    To appear in the Proceedings of European Conference on Computer Vision (ECCV), 2022
    (* Equal Contributions)
    paper | code

  • Practical Blind Membership Inference Attack via Differential Comparisons
    Bo Hui*, Yuchen Yang*, Haolin Yuan*, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
    In the Proceedings of Network & Distributed System Security Symposium (NDSS), 2021
    (* Equal Contributions)
    paper | slides| code

    • Services

  • USENIX Security Symposium 2023, External reviewer

  • The ACM Conference on Computer and Communications Security (CCS) 2022, External reviewer

  • IEEE Computer Security Foundations Symposium (CSF) 2022, External reviewer

  • IEEE International Conference on Distributed Computing Systems (ICDCS) 2022, External reviewer

    • Experiences

  • Research Assistant, at Johns Hopkins University, 2020.3 - Present

  • Teaching Assistant, at Johns Hopkins University, 2020.9 - 2020.12, 2022.9 - 2022.12

  • Research Internship, at Chinese Academy of Sciences, 2018.6 - 2018.9

    • More about me

    I'm glad to introduce my cat Go-Wha, pronunciation in Chinese means PUPPY since he acts like a puppy all the time. Funniest and happiest cat I'v ever seen! You will know it with one click :)

    What's more? How about a cheerleader (former), a kayak learner (recent), and a hotpot lover (forever)!

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