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Hanbin Hong
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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
142022
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
62023
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
52020
Unicr: Universally approximated certified robustness via randomized smoothing
H Hong, B Wang, Y Hong
European Conference on Computer Vision, 86-103, 2022
42022
Certified adversarial robustness via anisotropic randomized smoothing
H Hong, Y Hong
arXiv preprint arXiv:2207.05327, 2022
32022
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
32022
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
22021
Certifiable black-box attack: Ensuring provably successful attack for adversarial examples
H Hong, Y Hong
arXiv preprint arXiv:2304.04343, 2023
12023
An eye for an eye: Defending against gradient-based attacks with gradients
H Hong, Y Hong, Y Kong
arXiv preprint arXiv:2202.01117, 2022
12022
Universally Amplifying Randomized Smoothing for Certified Robustness with Anisotropic Noise
H Hong, A Payani, A Kundu, B Wang, Y Hong
2023
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Articles 1–10