Hanbin Hong

According to our database, Hanbin Hong authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation.

Hanbin Hong, Shenao Yan, Shuya Feng, Yan Yan, Yuan Hong

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

CoRR, 2024

Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness.

Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar

CoRR, 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

Proceedings of the 33rd USENIX Security Symposium, 2024

Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks.

Xinyu Zhang, Hanbin Hong, Yuan Hong, Peng Huang, Binghui Wang, Zhongjie Ba, Kui Ren

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence.

Hanbin Hong, Xinyu Zhang, Binghui Wang, Zhongjie Ba, Yuan Hong

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Certifiable Black-Box Attack: Ensuring Provably Successful Attack for Adversarial Examples.

Hanbin Hong, Yuan Hong

CoRR, 2023

Energy-Limited UAV Visiting Planning for Age-Aware Wireless-Powered Sensor Networks.

Hanbin Hong, Yi Zhang, Yajing Xie

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

2022

Certified Adversarial Robustness via Anisotropic Randomized Smoothing.

Hanbin Hong, Yuan Hong

CoRR, 2022

An Eye for an Eye: Defending against Gradient-based Attacks with Gradients.

Hanbin Hong, Yuan Hong, Yu Kong

CoRR, 2022

UniCR: Universally Approximated Certified Robustness via Randomized Smoothing.

Hanbin Hong, Binghui Wang, Yuan Hong

Proceedings of the Computer Vision - ECCV 2022, 2022

L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response.

Han Wang, Hanbin Hong, Li Xiong, Zhan Qin, Yuan Hong

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2020

Privacy Attributes-aware Message Passing Neural Network for Visual Privacy Attributes Classification.

Hanbin Hong, Wentao Bao, Yuan Hong, Yu Kong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

RIT-18: A Novel Dataset for Compositional Group Activity Understanding.

Junwen Chen, Haiting Hao, Hanbin Hong, Yu Kong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020