Suivre
Yi Zeng
Titre
Citée par
Citée par
Année
: A Deep Learning Based Network Encrypted Traffic Classification and Intrusion Detection Framework
Y Zeng, H Gu, W Wei, Y Guo
IEEE Access 7, 45182-45190, 2019
1652019
Deepsweep: An evaluation framework for mitigating DNN backdoor attacks using data augmentation
H Qiu, Y Zeng, S Guo, T Zhang, M Qiu, B Thuraisingham
Proceedings of the 2021 ACM Asia Conference on Computer and Communications …, 2021
532021
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective
Y Zeng, W Park, ZM Mao, R Jia
International Conference on Computer Vision (ICCV), 2021, 2021
422021
DeepVCM: A deep learning based intrusion detection method in VANET
Y Zeng, M Qiu, D Zhu, Z Xue, J Xiong, M Liu
2019 IEEE 5th intl conference on big data security on cloud (BigDataSecurity …, 2019
372019
A data augmentation-based defense method against adversarial attacks in neural networks
Y Zeng, H Qiu, G Memmi, M Qiu
Algorithms and Architectures for Parallel Processing: 20th International …, 2020
352020
Senior2local: A machine learning based intrusion detection method for vanets
Y Zeng, M Qiu, Z Ming, M Liu
Smart Computing and Communication: Third International Conference, SmartCom …, 2018
332018
Adversarial Unlearning of Backdoors via Implicit Hypergradient
Y Zeng, S Chen, W Park, ZM Mao, M Jin, R Jia
The Tenth International Conference on Learning Representations (ICLR 2022), 2021
282021
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
S Guo, T Zhang, H Qiu, Y Zeng, T Xiang, Y Liu
International Joint Conference on Artificial Intelligence (IJCAI), 2021, 2021
26*2021
An efficient preprocessing-based approach to mitigate advanced adversarial attacks
H Qiu, Y Zeng, Q Zheng, S Guo, T Zhang, H Li
IEEE Transactions on Computers, 2021
21*2021
Deepsweep: An evaluation framework for mitigating dnn backdoor attacks using data augmentation
Y Zeng, H Qiu, S Guo, T Zhang, M Qiu, B Thuraisingham
arXiv e-prints, arXiv: 2012.07006, 2020
162020
Test: an end-to-end network traffic classification system with spatio-temporal features extraction
Y Zeng, Z Qi, W Chen, Y Huang
2019 IEEE International Conference on Smart Cloud (SmartCloud), 131-136, 2019
12*2019
Fencebox: A platform for defeating adversarial examples with data augmentation techniques
H Qiu, Y Zeng, T Zhang, Y Jiang, M Qiu
arXiv preprint arXiv:2012.01701, 2020
112020
Narcissus: A practical clean-label backdoor attack with limited information
Y Zeng, M Pan, HA Just, L Lyu, M Qiu, R Jia
arXiv preprint arXiv:2204.05255, 2022
102022
Optimizing energy and spectrum efficiency of virtual optical network embedding in elastic optical networks
W Wei, H Gu, A Pattavina, J Wang, Y Zeng
Optical Switching and Networking 37, 100568, 2020
92020
A unified framework for task-driven data quality management
T Wang, Y Zeng, M Jin, R Jia
arXiv preprint arXiv:2106.05484, 2021
82021
Using adversarial examples to bypass deep learning based url detection system
W Chen, Y Zeng, M Qiu
2019 IEEE International Conference on Smart Cloud (SmartCloud), 128-130, 2019
72019
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
X He, Q Xu, Y Zeng, L Lyu, F Wu, J Li, R Jia
arXiv preprint arXiv:2209.08773, 2022
32022
V-PSC: A perturbation-based causative attack against dl classifiers' supply chain in VANET
Y Zeng, M Qiu, J Niu, Y Long, J Xiong, M Liu
2019 IEEE International Conference on Computational Science and Engineering …, 2019
32019
Research and Technical Writing for Science and Engineering
M Qiu, H Qiu, Y Zeng
CRC Press, 2022
22022
Model Uncertainty for Annotation Error Correction in Deep Learning Based Intrusion Detection System
W Chen, H Li, Y Zeng, Z Ren, X Zheng
2019 IEEE International Conference on Smart Cloud (SmartCloud), 137-142, 2019
12019
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20