Bai Li
Titolo
Citata da
Citata da
Anno
Second-order adversarial attack and certifiable robustness
B Li, C Chen, W Wang, L Carin
592018
Certified adversarial robustness with additive noise
B Li, C Chen, W Wang, L Carin
Advances in Neural Information Processing Systems, 9464-9474, 2019
442019
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling
C Chen, R Zhang, W Wang, B Li, L Chen
UAI 2018, 2018
302018
Improving Sequence-to-Sequence Learning via Optimal Transport
L Chen, Y Zhang, R Zhang, C Tao, Z Gan, H Zhang, B Li, D Shen, C Chen, ...
ICLR 2018, 2019
272019
On Connecting Stochastic Gradient MCMC and Differential Privacy
B Li, C Chen, H Liu, L Carin
AISTATS 2019 89, 557--566, 2017
142017
Certified adversarial robustness with additive gaussian noise
B Li, C Chen, W Wang, L Carin
arXiv preprint arXiv:1809.03113, 2018
82018
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
Y Lu, Y Jia, J Wang, B Li, W Chai, L Carin, S Velipasalar
CVPR 2020, 2019
52019
A privacy preserving algorithm to release sparse high-dimensional histograms
B Li, V Karwa, A Slavković, RC Steorts
Journal of Privacy and Confidentiality 8 (1), 2018
52018
Towards Understanding Fast Adversarial Training
B Li, S Wang, S Jana, L Carin
arXiv preprint arXiv:2006.03089, 2020
22020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training
B Li, S Wang, Y Jia, Y Lu, Z Zhong, L Carin, S Jana
arXiv preprint arXiv:2003.05733, 2020
22020
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
W Wang, H Xu, Z Gan, B Li, G Wang, L Chen, Q Yang, W Wang, L Carin
AAAI 2020, 2019
22019
On Norm-Agnostic Robustness of Adversarial Training
B Li, C Chen, W Wang, L Carin
ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning, 2019
22019
Second-order adversarial attack and certifiable robustness. arXiv
B Li, C Chen, W Wang, L Carin
Learning, 2018
22018
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–13