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Bo Huang
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Boosting accuracy and robustness of student models via adaptive adversarial distillation
B Huang, M Chen, Y Wang, J Lu, M Cheng, W Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
332023
Model-Agnostic Adversarial Detection by Random Perturbations.
B Huang, Y Wang, W Wang
IJCAI, 4689-4696, 2019
282019
Adversarial defence by diversified simultaneous training of deep ensembles
B Huang, Z Ke, Y Wang, W Wang, L Shen, F Liu
Proceedings of the AAAI conference on artificial intelligence 35 (9), 7823-7831, 2021
172021
A deep neural network for general scattering matrix
Y Jing, H Chu, B Huang, J Luo, W Wang, Y Lai
Nanophotonics 12 (13), 2583-2591, 2023
112023
Dataset Distillation via Adversarial Prediction Matching
M Chen, B Huang, J Lu, B Li, Y Wang, M Cheng, W Wang
arXiv preprint arXiv:2312.08912, 2023
62023
Adversarial example detection method and apparatus, computing device, and non-volatile computer-readable storage medium
Y Wang, B Huang
US Patent 10,936,973, 2021
42021
Bridging and modeling correlations in pairwise data for direct preference optimization
Y Jiang, B Huang, Y Wang, X Zeng, L Li, Y Wang, X Jiang, L Shang, ...
arXiv preprint arXiv:2408.07471, 2024
22024
Method for training deep ensemble model based on feature diversified learning against adversarial image examples, image classification method and electronic device
Y Wang, B Huang, Z Ke
US Patent App. 18/454,795, 2023
12023
When Evolution Strategy Meets Language Models Tuning
B Huang, Y Jiang, M Chen, Y Wang, H Chen, W Wang
Proceedings of the 31st International Conference on Computational …, 2025
2025
Distance Maximization and Defences on Deep Hashing Based Image Retrieval
J Lu, Y Miao, M Chen, B Huang, B Li, W Wang, D Vatsalan, MA Kaafar
2023 IEEE International Conference on Knowledge Graph (ICKG), 176-183, 2023
2023
Deep Ensemble Robustness by Adaptive Sampling in Dropout-Based Simultaneous Training
Q Wu, B Huang, Y Wang, Z Ke, D Luo
2023
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