RIT-18: A Novel Dataset for Compositional Group Activity Understanding. - Junwen Chen; Haiting Hao; Hanbin Hong; Yu Kong 001 (CVPR Workshops, 2020)

Privacy Attributes-aware Message Passing Neural Network for Visual Privacy Attributes Classification. - Hanbin Hong; Wentao Bao; Yuan Hong 001; Yu Kong 001 (ICPR, 2020)

L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response. - Han Wang 021; Hanbin Hong; Li Xiong 001; Zhan Qin; Yuan Hong 001 (CCS, 2022)

UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. - Hanbin Hong; Binghui Wang; Yuan Hong 001 (ECCV (5), 2022)

An Eye for an Eye: Defending against Gradient-based Attacks with Gradients. - Hanbin Hong; Yuan Hong 001; Yu Kong 001 (CoRR, 2022)

Certified Adversarial Robustness via Anisotropic Randomized Smoothing. - Hanbin Hong; Yuan Hong 001 (CoRR, 2022)

Energy-Limited UAV Visiting Planning for Age-Aware Wireless-Powered Sensor Networks. - Hanbin Hong; Yi Zhang; Yajing Xie (VTC Fall, 2023)

Certifiable Black-Box Attack: Ensuring Provably Successful Attack for Adversarial Examples. - Hanbin Hong; Yuan Hong 001 (CoRR, 2023)

Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence. - Hanbin Hong; Xinyu Zhang 016; Binghui Wang; Zhongjie Ba; Yuan Hong 001 (CCS, 2024)

Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks. - Xinyu Zhang 016; Hanbin Hong; Yuan Hong 001; Peng Huang; Binghui Wang; Zhongjie Ba; Kui Ren 001 (SP, 2024)

An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection. - Shenao Yan; Shen Wang; Yue Duan; Hanbin Hong; Kiho Lee; Doowon Kim; Yuan Hong 001 (USENIX Security Symposium, 2024)

Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. - Jieren Deng; Hanbin Hong; Aaron Palmer; Xin Zhou 017; Jinbo Bi; Kaleel Mahmood; Yuan Hong 001; Derek Aguiar (CoRR, 2024)

Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. - Shuya Feng; Meisam Mohammady; Hanbin Hong; Shenao Yan; Ashish Kundu; Binghui Wang; Yuan Hong 001 (CoRR, 2024)

GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation. - Hanbin Hong; Shenao Yan; Shuya Feng; Yan Yan 002; Yuan Hong 001 (CoRR, 2024)

Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. - Shuya Feng; Meisam Mohammady; Hanbin Hong; Shenao Yan; Ashish Kundu; Binghui Wang; Yuan Hong 001 (CODASPY, 2025)