Hongyan Bao

PhD student, KAUST

Joined

May 2021

Names

Hongyan Bao (Preferred)

Emails

****@kaust.edu.sa (Confirmed)

Personal Links

Career & Education History

PhD student

KAUST (kaust.edu.sa)

2019 – Present

Advisors, Relations & Conflicts

PhD Advisor

Xiangliang Zhang

2019 – Present

Expertise

data mining

,

machine learning

,

optimization

Present

Publications

Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data
Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang
- ICML 2024 Poster
- Readers: Everyone
Enhancing Adversarial Robustness on Categorical Data via Attribution Smoothing
Yujun Zhou, Yufei Han, Hongyan Bao, Xiangliang Zhang
- Submitted to ICLR 2024
- Readers: Everyone
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs
Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang
- Published: 01 Jan 2022, Last Modified: 17 May 2023
- Big Data 2022
- Readers: Everyone
Towards Understanding the Robustness Against Evasion Attack on Categorical Data
Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang
- Published: 01 Jan 2022, Last Modified: 17 May 2023
- ICLR 2022
- Readers: Everyone
Towards Understanding the Robustness Against Evasion Attack on Categorical Data
Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
Attackability Characterization of Adversarial Evasion Attack on Discrete Data
Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang
- 2020 (modified: 05 Nov 2023)
- KDD 2020
- Readers: Everyone
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik
- 2020 (modified: 26 May 2023)
- CoRR 2020
- Readers: Everyone
Co-Embedding Attributed Networks
Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang
- 2019 (modified: 18 Jan 2026)
- WSDM 2019
- Readers: Everyone

Co-Authors