Tran, Khang

2 publications

AISTATS 2023 Active Membership Inference Attack Under Local Differential Privacy in Federated Learning Truc Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai

NeurIPSW 2023 CodonBERT: Large Language Models for mRNA Design and Optimization Sizhen Li, Saeed Moayedpour, Ruijiang Li, Michael Bailey, Saleh Riahi, Milad Miladi, Jacob Miner, Dinghai Zheng, Jun Wang, Akshay Balsubramani, Khang Tran, Minnie, Monica Wu, Xiaobo Gu, Ryan Clinton, Carla Asquith, Joseph Skaleski, Lianne Boeglin, Sudha Chivukula, Anusha Dias, Fernando Ulloa Montoya, Vikram Agarwal, Ziv Bar-Joseph, Sven Jager