Lin, Wan-Yi

8 publications

ICLR 2024 Federated Text-Driven Prompt Generation for Vision-Language Models Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi, Madan Ravi Ganesh, Zhenzhen Li, Lu Peng, Wan-Yi Lin

NeurIPSW 2023 Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning Xidong Wu, Wan-Yi Lin, Devin Willmott, Filipe Condessa, Yufei Huang, Zhenzhen Li, Madan Ganesh

TMLR 2023 Revisiting Image Classifier Training for Improved Certified Robust Defense Against Adversarial Patches Aniruddha Saha, Shuhua Yu, Mohammad Sadegh Norouzzadeh, Wan-Yi Lin, Chaithanya Kumar Mummadi

NeurIPSW 2023 Text-Driven Prompt Generation for Vision-Language Models in Federated Learning Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi, Madan Ravi Ganesh, Zhenzhen Li, Lu Peng, Wan-Yi Lin

NeurIPSW 2022 Denoised Smoothing with Sample Rejection for Robustifying Pretrained Classifiers Fatemeh Sheikholeslami, Wan-Yi Lin, Jan Hendrik Metzen, Huan Zhang, J Zico Kolter

ICMLW 2021 Certified Robustness Against Adversarial Patch Attacks via Randomized Cropping Wan-Yi Lin, Fatemeh Sheikholeslami, Jinghao Shi, Leslie Rice, J Zico Kolter

CVPR 2021 Defending Multimodal Fusion Models Against Single-Source Adversaries Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, Zico Kolter

ICMLW 2021 Empirical Robustification of Pre-Trained Classifiers Mohammad Sadegh Norouzzadeh, Wan-Yi Lin, Leonid Boytsov, Leslie Rice, Huan Zhang, Filipe Condessa, J Zico Kolter