| Persistent fault analysis on block ciphers F Zhang, X Lou, X Zhao, S Bhasin, W He, R Ding, S Qureshi, K Ren IACR Transactions on Cryptographic Hardware and Embedded Systems, 150-172, 2018 | 131 | 2018 |
| Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages Y Lin, R Liu, DM Divakaran, JY Ng, QZ Chan, Y Lu, Y Si, F Zhang, ... 30th USENIX Security Symposium (USENIX Security 21), 3793-3810, 2021 | 119 | 2021 |
| Passive attacks against searchable encryption J Ning, J Xu, K Liang, F Zhang, EC Chang IEEE Transactions on Information Forensics and Security 14 (3), 789-802, 2018 | 110 | 2018 |
| Defending model inversion and membership inference attacks via prediction purification Z Yang, B Shao, B Xuan, EC Chang, F Zhang arXiv preprint arXiv:2005.03915, 2020 | 105 | 2020 |
| Towards understanding and demystifying bitcoin mixing services L Wu, Y Hu, Y Zhou, H Wang, X Luo, Z Wang, F Zhang, K Ren Proceedings of the Web Conference 2021, 33-44, 2021 | 91 | 2021 |
| A framework for the analysis and evaluation of algebraic fault attacks on lightweight block ciphers F Zhang, S Guo, X Zhao, T Wang, J Yang, FX Standaert, D Gu IEEE Transactions on Information Forensics and Security 11 (5), 1039-1054, 2016 | 83 | 2016 |
| Learning-guided network fuzzing for testing cyber-physical system defences Y Chen, CM Poskitt, J Sun, S Adepu, F Zhang 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 75 | 2019 |
| Hardware trojans in chips: A survey for detection and prevention C Dong, Y Xu, X Liu, F Zhang, G He, Y Chen Sensors 20 (18), 5165, 2020 | 61 | 2020 |
| Imperceptible misclassification attack on deep learning accelerator by glitch injection W Liu, CH Chang, F Zhang, X Lou 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 55 | 2020 |
| Persistent fault attack in practice F Zhang, Y Zhang, H Jiang, X Zhu, S Bhasin, X Zhao, Z Liu, D Gu, K Ren IACR Transactions on Cryptographic Hardware and Embedded Systems, 172-195, 2020 | 53 | 2020 |
| Improved algebraic fault analysis: A case study on piccolo and applications to other lightweight block ciphers F Zhang, X Zhao, S Guo, T Wang, Z Shi International Workshop on Constructive Side-Channel Analysis and Secure …, 2013 | 51 | 2013 |
| MDASCA: an enhanced algebraic side-channel attack for error tolerance and new leakage model exploitation X Zhao, F Zhang, S Guo, T Wang, Z Shi, H Liu, K Ji International Workshop on Constructive Side-Channel Analysis and Secure …, 2012 | 51 | 2012 |
| Improving and evaluating differential fault analysis on LED with algebraic techniques X Zhao, S Guo, F Zhang, Z Shi, C Ma, T Wang 2013 Workshop on Fault Diagnosis and Tolerance in Cryptography, 41-51, 2013 | 40 | 2013 |
| G2F: A secure user authentication for rapid smart home IoT management H Luo, C Wang, H Luo, F Zhang, F Lin, G Xu IEEE Internet of Things Journal 8 (13), 10884-10895, 2021 | 35 | 2021 |
| HEDA: multi-attribute unbounded aggregation over homomorphically encrypted database X Ren, L Su, Z Gu, S Wang, F Li, Y Xie, S Bian, C Li, F Zhang Proceedings of the VLDB Endowment 16 (4), 601-614, 2022 | 32 | 2022 |
| I RNN: An Incremental and Interpretable Recurrent Neural Network for Encrypted Traffic Classification Z Song, Z Zhao, F Zhang, G Xiong, G Cheng, X Zhao, S Guo, B Chen IEEE Transactions on Dependable and Secure Computing, 2023 | 29 | 2023 |
| Exploiting the incomplete diffusion feature: A specialized analytical side-channel attack against the AES and its application to microcontroller implementations S Guo, X Zhao, F Zhang, T Wang, ZJ Shi, FX Standaert, C Ma IEEE Transactions on Information Forensics and Security 9 (6), 999-1014, 2014 | 29 | 2014 |
| ERNN: Error-resilient RNN for encrypted traffic detection towards network-induced phenomena Z Zhao, Z Li, J Jiang, F Yu, F Zhang, C Xu, X Zhao, R Zhang, S Guo IEEE Transactions on Dependable and Secure Computing, 2023 | 28 | 2023 |
| Active fuzzing for testing and securing cyber-physical systems Y Chen, B Xuan, CM Poskitt, J Sun, F Zhang Proceedings of the 29th ACM SIGSOFT International Symposium on Software …, 2020 | 28 | 2020 |
| From homogeneous to heterogeneous: Leveraging deep learning based power analysis across devices F Zhang, B Shao, G Xu, B Yang, Z Yang, Z Qin, K Ren 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 27 | 2020 |
Kui RenProfessor and Dean of Computer Science, Zhejiang University, ACM/IEEE Fellow在 zju.edu.cn 的电子邮件经过验证