Yun-Yun Tsai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Learning Models

Limited Resources

Semantically Equivalent

Top Venues

Publications

Qingyuan Liu, Pengyuan Shi, Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang
Turns Out I'm Not Real: Towards Robust Detection of AI-Generated Videos. CoRR (2024)
Yun-Yun Tsai, Fu-Chen Chen, Albert Y. C. Chen, Junfeng Yang, Che-Chun Su, Min Sun, Cheng-Hao Kuo
GDA: Generalized Diffusion for Robust Test-time Adaptation. CoRR (2024)
Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang
Convolutional Visual Prompt for Robust Visual Perception. NeurIPS (2023)
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations. CVPR (2023)
Yun-Yun Tsai, Chengzhi Mao, Yow-Kuan Lin, Junfeng Yang
Self-Supervised Convolutional Visual Prompts. CoRR (2023)
Yun-Yun Tsai, Ju-Chin Chao, Albert Wen, Zhaoyuan Yang, Chengzhi Mao, Tapan Shah, Junfeng Yang
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder. CoRR (2023)
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
CARBEN: Composite Adversarial Robustness Benchmark. CoRR (2022)
Yun-Yun Tsai, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations. CoRR (2022)
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
CARBEN: Composite Adversarial Robustness Benchmark. IJCAI (2022)
Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
Voice2Series: Reprogramming Acoustic Models for Time Series Classification. ICML (2021)
Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
Voice2Series: Reprogramming Acoustic Models for Time Series Classification. CoRR (2021)
Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources. CoRR (2020)
Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, Yier Jin
CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. NDSS (2020)
Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources. ICML (2020)
Ta-Wei Huang, Yun-Yun Tsai, Chung-Wei Lin, Tsung-Yi Ho
Vehicle Sequence Reordering with Cooperative Adaptive Cruise Control. DATE (2019)