L-srr: Local differential privacy for location-based services with staircase randomized response H Wang, H Hong, L Xiong, Z Qin, Y Hong Proceedings of the 2022 ACM SIGSAC Conference on computer and communications …, 2022 | 21 | 2022 |
Text-crs: A generalized certified robustness framework against textual adversarial attacks X Zhang, H Hong, Y Hong, P Huang, B Wang, Z Ba, K Ren arXiv preprint arXiv:2307.16630, 2023 | 10 | 2023 |
Unicr: Universally approximated certified robustness via randomized smoothing H Hong, B Wang, Y Hong European Conference on Computer Vision, 86-103, 2022 | 5 | 2022 |
Rit-18: A novel dataset for compositional group activity understanding J Chen, H Hao, H Hong, Y Kong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 5 | 2020 |
Certified adversarial robustness via anisotropic randomized smoothing H Hong, Y Hong arXiv preprint arXiv:2207.05327, 2022 | 3 | 2022 |
Privlbs: Local differential privacy for location-based services with staircase randomized response H Wang, H Hong, L Xiong, Z Qin, Y Hong Proceedings of the ACM Conference on Computer and Communications Security, 2022 | 3 | 2022 |
Privacy attributes-aware message passing neural network for visual privacy attributes classification H Hong, W Bao, Y Hong, Y Kong 2020 25th International Conference on Pattern Recognition (ICPR), 4245-4251, 2021 | 2 | 2021 |
Certifiable black-box attack: Ensuring provably successful attack for adversarial examples H Hong, Y Hong arXiv preprint arXiv:2304.04343, 2023 | 1 | 2023 |
An eye for an eye: Defending against gradient-based attacks with gradients H Hong, Y Hong, Y Kong arXiv preprint arXiv:2202.01117, 2022 | 1 | 2022 |
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection S Yan, S Wang, Y Duan, H Hong, K Lee, D Kim, Y Hong arXiv preprint arXiv:2406.06822, 2024 | | 2024 |
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness J Deng, H Hong, A Palmer, X Zhou, J Bi, K Mahmood, Y Hong, D Aguiar arXiv preprint arXiv:2405.16036, 2024 | | 2024 |
Universally Amplifying Randomized Smoothing for Certified Robustness with Anisotropic Noise H Hong, A Payani, A Kundu, B Wang, Y Hong | | 2023 |