About Me

  • I’m Yun-Yun (Alice) Tsai (蔡昀芸), an incoming Ph.D. student in the Department of Computer Science at Columbia University, advised by Professor Junfeng Yang.
  • My research interests lie in Security and Artificial Intelligence, which I am particularly interested in improving trustworthy, security, and robustness over machine learning (ML) algorithms and computer systems.
  • I received M.S. and B.S. in computer science, both from National Tsing Hua University (NTHU), Taiwan. Previously, I was advised by Professor Tsung-Yi Ho and Dr. Pin-Yu Chen from IBM Research Trusted AI group.

Publications

§ Conference and Workshop Papers

  1. Generalizing Adversarial Training to Composite Semantic Perturbations (Paper)
    • Yun-Yun Tsai, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho
    • International Conference on Machine Learning (ICML), AdvML Workshop, 2021
  2. Voice2Series: Reprogramming Acoustic Models for Time Series Classification (Paper)
    • Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
    • International Conference on Machine Learning (ICML), 2021
  3. Transfer Learning without Knowing, Reprogramming Black-box Machine Learning Model with Scarce Data and Limited Resources (Paper) (Video) (Slides) (Code)
    • Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
    • International Conference on Machine Learning (ICML), 2020
  4. CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples (Paper) (Code)
    • Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, Yier Jin
    • Network and Distributed System Security Symposium (NDSS), 2020
  5. Adversarial Machine Learning for Social Good: Reprogramming Black-box Machine Learning Model (Poster)
    • Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
    • Neural Information Processing Systems (NeurIPS) NewInML Workshop, 2019
  6. Vehicle Sequence Reordering with Cooperative Adaptive Cruise Control (Paper)
    • Ta-Wei Huang, Yun-Yun Tsai, Chung-Wei Lin, Tsung-Yi Ho
    • Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019

§ Patents

  1. Pin-Yu Chen, Yun-Yun Tsai, Sijia Liu, Chia-Yu Chen, I-Hsin Chung, Tsung-Yi Ho. ”Transfer Learning With Machine Learning Systems”, U.S. Patent Application No: 17/029506, Application Date: Sept. 23, 2020.

Professional Experience

§ Research & Working Experience

§ Invited Speech


Dec.5.2020 I was invited to give a talk about my ICML'20 paper at Taiwanese Association of Aritificial Intelligence (TAAI) 2020.
Aug.12.2020 I was invited to give a talk about "CloudLeak: DNN Model Extractions from Commercial MLaaS Platforms" at CyberSec 2020 Blackhat Awarded Forum, Taipei.

§ Service

Paper Review IEEE Access, KDD 2021, ICLR 2021, AAAI 2021, ICPAI 2020
Teaching Assistant Fundamental of Formal Language, Very-Large-Scale Integration
  • § To learn more about my professional activities,  click here

Extra Activites

    Besides my academic research passion, I am also a versatile musician and have participated in many extracurricular music activities. With over 20 years of performing and training in playing the piano and viola, I was selected as the 1st chair of viola in Tsing Hua Symphony Orchestra for 4 years in college and performed more than 20 concerts on public stages such as National Concert Hall. I also won the NTHU concerto competition in 2017 and was honored to be the piano concerto soloist at the annual concert of NTHU Orchestra.

    § To learn more about my music activities,   click here.

    § To see my video of piano concerto recital,   click here.