| Adversarial attacks in modulation recognition with convolutional neural networks Y Lin, H Zhao, X Ma, Y Tu, M Wang IEEE Transactions on Reliability 70 (1), 389-401, 2020 | 144 | 2020 |
| Threats of adversarial attacks in DNN-based modulation recognition Y Lin, H Zhao, Y Tu, S Mao, Z Dou IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2469-2478, 2020 | 103 | 2020 |
| Evaluating and improving adversarial attacks on DNN-based modulation recognition H Zhao, Y Lin, S Gao, S Yu GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-5, 2020 | 30 | 2020 |
| Signal recognition based on federated learning J Shi, H Zhao, M Wang, Q Tian IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops …, 2020 | 19 | 2020 |
| Abnormal information identification and elimination in cognitive networks R Wu, X Chen, H Han, H Zhao, Y Lin International Journal of Performability Engineering 14 (10), 2271, 2018 | 10 | 2018 |
| The technology of adversarial attacks in signal recognition H Zhao, Q Tian, L Pan, Y Lin Physical Communication 43, 101199, 2020 | 7 | 2020 |
| Evaluation of Adversarial Attacks Based on DL in Communication Networks Z Bao, H Zhao 2020 7th International Conference on Dependable Systems and Their …, 2020 | | 2020 |
| Performance Evaluation of Machine Learning in Wireless Connected Robotics Swarms Q Tian, H Zhao, Y Lin, F Xiao IEEE Access 8, 1790-1802, 2019 | | 2019 |
| Identification and Elimination of Abnormal Information in Electromagnetic Spectrum Cognition H Zhao, R Wu, H Han, X Chen, Y Li, Y Lin Advanced Hybrid Information Processing: Second EAI International Conference …, 2019 | | 2019 |
Yun LinHarbin Engineering UniversityVerified email at hrbeu.edu.cn
