Co-Embedding Attributed Networks. - Zaiqiao Meng; Shangsong Liang; Hongyan Bao; Xiangliang Zhang 001 (WSDM, 2019)

Attackability Characterization of Adversarial Evasion Attack on Discrete Data. - Yutong Wang; Yufei Han 001; Hongyan Bao; Yun Shen; Fenglong Ma; Jin Li 002; Xiangliang Zhang 001 (KDD, 2020)

PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. - Zhize Li; Hongyan Bao; Xiangliang Zhang 001; Peter Richtárik (ICML, 2021)

AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. - Helene Orsini; Hongyan Bao; Yujun Zhou 002; Xiangrui Xu 001; Yufei Han 001; Longyang Yi; Wei Wang 012; Xin Gao 001; Xiangliang Zhang 001 (IEEE Big Data, 2022)

Towards Understanding the Robustness Against Evasion Attack on Categorical Data. - Hongyan Bao; Yufei Han 001; Yujun Zhou 002; Yun Shen; Xiangliang Zhang 001 (ICLR, 2022)

Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs. - Hongyan Bao; Yufei Han 001; Yujun Zhou 002; Xin Gao 001; Xiangliang Zhang 001 (AAAI, 2023)

Defending Jailbreak Prompts via In-Context Adversarial Game. - Yujun Zhou 002; Yufei Han 001; Haomin Zhuang; Kehan Guo; Zhenwen Liang; Hongyan Bao; Xiangliang Zhang 001 (EMNLP, 2024)

Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data. - Yujun Zhou 002; Yufei Han 001; Haomin Zhuang; Hongyan Bao; Xiangliang Zhang 001 (ICML, 2024)

Defending Jailbreak Prompts via In-Context Adversarial Game. - Yujun Zhou 002; Yufei Han 001; Haomin Zhuang; Taicheng Guo; Kehan Guo; Zhenwen Liang; Hongyan Bao; Xiangliang Zhang 001 (CoRR, 2024)

EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity. - Hongyan Bao; Pengwen Chen; Ying Sun 003; Zhize Li (AAAI, 2025)