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ORCIDYuan Hong
Publications
- 2024
[c51]Shenao Yan, Shen Wang, Yue Duan, Hanbin Hong, Kiho Lee, Doowon Kim, Yuan Hong:
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection. USENIX Security Symposium 2024- [i35]Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar:
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. CoRR abs/2405.16036 (2024) - [i33]Shenao Yan
, Shen Wang, Yue Duan, Hanbin Hong, Kiho Lee, Doowon Kim, Yuan Hong:
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection. CoRR abs/2406.06822 (2024) - [i31]Shuya Feng, Meisam Mohammady, Hanbin Hong, Shenao Yan, Ashish Kundu, Binghui Wang, Yuan Hong:
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. CoRR abs/2407.14710 (2024) - 2023
- [i28]Hanbin Hong, Yuan Hong:
Certifiable Black-Box Attack: Ensuring Provably Successful Attack for Adversarial Examples. CoRR abs/2304.04343 (2023) - [i27]Xinyu Zhang, Hanbin Hong, Yuan Hong, Peng Huang, Binghui Wang, Zhongjie Ba, Kui Ren:
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks. CoRR abs/2307.16630 (2023) - 2022
- [c47]Han Wang, Hanbin Hong, Li Xiong, Zhan Qin, Yuan Hong:
L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response. CCS 2022: 2809-2823 - [c44]Hanbin Hong, Binghui Wang, Yuan Hong:
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. ECCV (5) 2022: 86-103 - [i21]Hanbin Hong, Yuan Hong, Yu Kong:
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients. CoRR abs/2202.01117 (2022) - [i19]Hanbin Hong, Binghui Wang, Yuan Hong:
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. CoRR abs/2207.02152 (2022) - [i18]Hanbin Hong, Yuan Hong:
Certified Adversarial Robustness via Anisotropic Randomized Smoothing. CoRR abs/2207.05327 (2022) - [i16]Han Wang, Hanbin Hong, Li Xiong, Zhan Qin, Yuan Hong:
L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response. CoRR abs/2209.15091 (2022) - 2020
- [c29]Hanbin Hong, Wentao Bao, Yuan Hong, Yu Kong:
Privacy Attributes-aware Message Passing Neural Network for Visual Privacy Attributes Classification. ICPR 2020: 4245-4251
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