Bai Li

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 15

Top Topics

Differential Privacy

Generative Model

Training Process

Top Venues

Publications

Bai Li, Shiqi Wang, Suman Jana, Lawrence Carin
Towards Understanding Fast Adversarial Training. CoRR (2020)
Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. CVPR (2020)
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. AAAI (2020)
Bai Li, Shiqi Wang, Yunhan Jia, Yantao Lu, Zhenyu Zhong, Lawrence Carin, Suman Jana
Towards Practical Lottery Ticket Hypothesis for Adversarial Training. CoRR (2020)
Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction. CoRR (2019)
Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. CoRR (2019)
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
On Norm-Agnostic Robustness of Adversarial Training. CoRR (2019)
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
Certified Adversarial Robustness with Additive Noise. NeurIPS (2019)
Bai Li, Changyou Chen, Hao Liu, Lawrence Carin
On Connecting Stochastic Gradient MCMC and Differential Privacy. AISTATS (2019)
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
Improving Sequence-to-Sequence Learning via Optimal Transport. ICLR (Poster) (2019)
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
Improving Sequence-to-Sequence Learning via Optimal Transport. CoRR (2019)
Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin
Second-Order Adversarial Attack and Certifiable Robustness. CoRR (2018)
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. CoRR (2018)
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. UAI (2018)
Bai Li, Changyou Chen, Hao Liu, Lawrence Carin
On Connecting Stochastic Gradient MCMC and Differential Privacy. CoRR (2017)