Yun-Yun Tsai

According to our database, Yun-Yun Tsai authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Turns Out I'm Not Real: Towards Robust Detection of AI-Generated Videos.

Qingyuan Liu, Pengyuan Shi, Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang

CoRR, 2024

GDA: Generalized Diffusion for Robust Test-Time Adaptation.

Yun-Yun Tsai, Fu-Chen Chen, Albert Y. C. Chen, Junfeng Yang, Che-Chun Su, Min Sun, Cheng-Hao Kuo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder.

Yun-Yun Tsai, Ju-Chin Chao, Albert Wen, Zhaoyuan Yang, Chengzhi Mao, Tapan Shah, Junfeng Yang

CoRR, 2023

Self-Supervised Convolutional Visual Prompts.

Yun-Yun Tsai, Chengzhi Mao, Yow-Kuan Lin, Junfeng Yang

CoRR, 2023

Convolutional Visual Prompt for Robust Visual Perception.

Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations.

Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CARBEN: Composite Adversarial Robustness Benchmark.

Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Voice2Series: Reprogramming Acoustic Models for Time Series Classification.

Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples.

Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, Yier Jin

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources.

Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Vehicle Sequence Reordering with Cooperative Adaptive Cruise Control.

Ta-Wei Huang, Yun-Yun Tsai, Chung-Wei Lin, Tsung-Yi Ho

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019