Hongyan Bao

According to our database, Hongyan Bao authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity.

Hongyan Bao, Pengwen Chen, Ying Sun, Zhize Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Defending Jailbreak Prompts via In-Context Adversarial Game.

Yujun Zhou, Yufei Han, Haomin Zhuang, Taicheng Guo, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang

CoRR, 2024

Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data.

Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Defending Jailbreak Prompts via In-Context Adversarial Game.

Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs.

Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards Understanding the Robustness Against Evasion Attack on Categorical Data.

Hongyan Bao, Yufei Han, Yujun Zhou, Yun Shen, Xiangliang Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Proceedings of the IEEE International Conference on Big Data, 2022

2021

PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization.

Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtárik

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Attackability Characterization of Adversarial Evasion Attack on Discrete Data.

Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Co-Embedding Attributed Networks.

Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019