Kaizhao Liang

Champaign,United State.


Currently, I am a principal software engineer in a stealth unicorn startup. Before that, I spent my unforgettable 4 years working with the incredibly talented advisor and her students in Secure Learning Lab at University of Illinois, Urbana-Champaign.

The lessons I learnt from them are and will always be guiding me through my career in the forseeable future.


I am broadly interested in many topics in practition and learning theory. I have experience in computer vision, adversairal learning and desigining hardware friendly overparameterized models.

Some personal delusions:

Selected Publications

Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. [In submission] Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Re Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability. [ICML 2021] Kaizhao Liang*, Jacky. Y. Zhang*, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li Adversarial Mutual Information for Text Generation [ICML 2020] Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li Unrestricted Adversarial Examples via Semantic Manipulation [ICLR 2020] Anand Bhattad*, Min Jin Chong*, Kaizhao Liang, Bo Li, David A. Forsyth

Relevant Projects

Gesture Control of autonomous vehicle

a new interface of human interaction with Autonomous Vehicle.

Interval bound propagation pytorch

Exploring to train certified defense against adversarial attacks with limited resources by "tighter" objective

Learning to Run

TRPO and DDPG implementation to teach robot to walk in simulations.

Review Service

CVPR2021, ICCV2021, ICLR2022, CVPR2022