Kaidi Xu

Associate Professor, DS, City University of Hong Kong

Joined

September 2018

Names

Kaidi Xu (Preferred)

Emails

****@husky.neu.edu (Confirmed)

****@northeastern.edu (Confirmed)

****@drexel.edu (Confirmed)

****@cityu.edu.hk (Confirmed)

Personal Links

Career & Education History

Associate Professor

DS, City University of Hong Kong (city.edu.hk)

2025 – Present

Assistant Professor

CS, Drexel University (drexel.edu)

2021 – 2025

PhD student

ECE, Northeastern University (neu.edu)

2018 – 2021

Researcher

International Business Machines (ibm.com)

2020 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Xue Lin

2018 – 2021

Expertise

Uncertainty Quantification

2023 – Present

AI Security

2018 – Present

Adversarial Robustness

2018 – Present

Publications

On the System-Level Effectiveness of Physical Object-Hiding Adversarial Attack in Autonomous Driving
Ningfei Wang, Yunpeng Luo, TAKAMI SATO, Kaidi Xu, Qi Alfred Chen
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J Zico Kolter
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Toward Robust Spiking Neural Network Against Adversarial Perturbation
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
- Published: 31 Oct 2022, Last Modified: 22 Dec 2022
- NeurIPS 2022 Accept
- Readers: Everyone
Generating Realistic Physical Adversarial Examplesby Patch Transformer Network
Quanfu Fan, Kaidi Xu, Chun-Fu Chen, Sijia Liu, Gaoyuan Zhang, David Daniel Cox, Xue Lin
- 29 Sept 2021 (modified: 13 Feb 2023)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks
Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, J Zico Kolter
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J Zico Kolter
- Published: 21 Jun 2021, Last Modified: 30 Dec 2025
- ICML 2021 Workshop AML Poster
- Readers: Everyone
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J Zico Kolter
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone
Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations
Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn
- 2021 (modified: 06 Jan 2026)
- CoRR 2021
- Readers: Everyone
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
- 2021 (modified: 04 Nov 2022)
- CoRR 2021
- Readers: Everyone

View all 20 publications

Co-Authors

View all 54 co-authors