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 | 33 | 2023 |
Model-Agnostic Adversarial Detection by Random Perturbations. B Huang, Y Wang, W Wang IJCAI, 4689-4696, 2019 | 28 | 2019 |
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 | 17 | 2021 |
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 | 11 | 2023 |
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 | 6 | 2023 |
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 | 4 | 2021 |
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 | 2 | 2024 |
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 | 1 | 2023 |
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 |