Generalizing universal adversarial attacks beyond additive perturbations Y Zhang, W Ruan, F Wang, X Huang 2020 IEEE International Conference on Data Mining (ICDM), 1412-1417, 2020 | 32 | 2020 |
Deep learning and its adversarial robustness: A brief introduction F Wang, C Zhang, P Xu, W Ruan Handbook on computer learning and intelligence: Volume 2: Deep learning …, 2022 | 19 | 2022 |
Towards verifying the geometric robustness of large-scale neural networks F Wang, P Xu, W Ruan, X Huang Proceedings of the AAAI conference on artificial intelligence 37 (12), 15197 …, 2023 | 14 | 2023 |
Fooling object detectors: Adversarial attacks by half-neighbor masks Y Zhang, F Wang, W Ruan arXiv preprint arXiv:2101.00989, 2021 | 13 | 2021 |
A BERT based Chinese named entity recognition method on ASEAN news H Zhuang, F Wang, S Bo, Y Huang Journal of Physics: Conference Series 1848 (1), 012101, 2021 | 11 | 2021 |
Generalizing universal adversarial perturbations for deep neural networks Y Zhang, W Ruan, F Wang, X Huang Machine Learning 112 (5), 1597-1626, 2023 | 10 | 2023 |
Gradient-guided dynamic efficient adversarial training F Wang, Y Zhang, Y Zheng, W Ruan arXiv preprint arXiv:2103.03076, 2021 | 7 | 2021 |
Sora: Scalable black-box reachability analyser on neural networks P Xu, F Wang, W Ruan, C Zhang, X Huang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
Harden deep convolutional classifiers via k-means reconstruction F Wang, L He, W Liu, Y Zheng IEEE Access 8, 168210-168218, 2020 | 5 | 2020 |
On inverses of some permutation polynomials over finite fields of characteristic three Y Zheng, F Wang, L Wang, W Wei Finite Fields and Their Applications 66, 101670, 2020 | 5 | 2020 |
Self-adaptive adversarial training for robust medical segmentation F Wang, Z Fu, Y Zhang, W Ruan International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
Model-agnostic reachability analysis on deep neural networks C Zhang, W Ruan, F Wang, P Xu, G Min, X Huang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 341-354, 2023 | 4 | 2023 |
Nrat: towards adversarial training with inherent label noise Z Chen, F Wang, R Mu, P Xu, X Huang, W Ruan Machine Learning 113 (6), 3589-3610, 2024 | 3 | 2024 |
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude F Wang, Y Zhang, Y Zheng, W Ruan Progress and Challenges in Building Trustworthy Embodied AI, 2022 | 2 | 2022 |
Efficient Estimate of Sentence's Representation Based on the Difference Semantics Model X Liao, Y Huang, Y Wei, C Zhang, F Wang, Y Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3384-3399, 2021 | 1 | 2021 |
DIRECT Optimisation with Bayesian Insights: Assessing Reliability Under Fixed Computational Budgets F Wang, Z Fu, X Huang, W Ruan OPT 2023: Optimization for Machine Learning, 0 | | |