Follow
Yun-Yun Tsai
Yun-Yun Tsai
Ph.D. student at Computer Science, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples.
H Yu, K Yang, T Zhang, YY Tsai, TY Ho, Y Jin
NDSS 38, 102, 2020
1492020
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
CHH Yang, YY Tsai, PY Chen
International Conference on Machine Learning (ICML), 2021
1022021
Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources
YY Tsai, PY Chen, TY Ho
International Conference on Machine Learning, 9614-9624, 2020
762020
Towards compositional adversarial robustness: Generalizing adversarial training to composite semantic perturbations
L Hsiung, YY Tsai, PY Chen, TY Ho
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
142022
Convolutional Visual Prompt for Robust Visual Perception
YY Tsai, C Mao, J Yang
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
9*2023
Carben: Composite adversarial robustness benchmark
L Hsiung, YY Tsai, PY Chen, TY Ho
arXiv preprint arXiv:2207.07797, 2022
62022
Generalizing adversarial training to composite semantic perturbations
YY Tsai, L Hsiung, PY Chen, TY Ho
ICML 2021 Workshop on Adversarial Machine Learning, 2021
32021
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder
YY Tsai, JC Chao, A Wen, Z Yang, C Mao, T Shah, J Yang
CVPR 2023, The 3rd Workshop of Adversarial Machine Learning on Computer …, 2023
1*2023
Transfer learning with machine learning systems
PY Chen, S Liu, CY Chen, IH Chung, TY Ho, YY Tsai
US Patent App. 17/029,506, 2022
12022
GDA: Generalized Diffusion for Robust Test-time Adaptation
YY Tsai, FC Chen, AYC Chen, J Yang, CC Su, M Sun, CH Kuo
arXiv preprint arXiv:2404.00095, 2024
2024
Vehicle Sequence Reordering with Cooperative Adaptive Cruise Control
TW Huang, YY Tsai, CW Lin, TY Ho
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 610-613, 2019
2019
Supplementary Material-Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
L Hsiung, YY Tsai, PY Chen, TY Ho
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder
T Yun-Yun, C Ju-Chin, A Wen, Z Yang, C Mao, T Shah, J Yang
The system can't perform the operation now. Try again later.
Articles 1–13