Hongyan Bao

6 papers · 2021–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2) 🔥 Unstoppable · Bronze

Venues

AAAI (2) ICML (2) EMNLP (1) ICLR (1)

Top co-authors

Xiangliang Zhang (5) Yufei Han (4) Yujun Zhou (4) Zhize Li (2) Haomin Zhuang (2) Ying Sun (1) Xin Gao (1) kehan Guo (1) Peter Richtarik (1) Pengwen Chen (1)

Research topics

Machine Learning (6) Artificial Intelligence (4) Learning Types · Machine Learning (4) Core AI (3) Optimization & Theory (3) Deep Learning (2) Core Methods (2) Learning Types · Deep Learning (2) Learning Paradigms · Artificial Intelligence (1) Learning Paradigms · Machine Learning (1)

Keywords

adversarial perturbation (2) evasion attack (2) categorical data (2) adversarial learning (1) adversarial robustness (1) non-convex optimization (1) in-context learning (1) distributed optimization (1) agent learning (1) complexity bound (1) combinatorial search (1) adversarial attack (1) multi-armed bandit (1) greedy algorithm (1) data heterogeneity (1) communication compression (1) decision boundary (1) gradient estimator (1) classification model (1) jailbreak defense (1)

Papers

EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025 Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data ICML 2024 Defending Jailbreak Prompts via In-Context Adversarial Game EMNLP 2024 Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs AAAI 2023 Towards Understanding the Robustness Against Evasion Attack on Categorical Data ICLR 2022 PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization ICML 2021