受强制性开放获取政策约束的文章 - Fengyuan Xu了解详情
无法在其他位置公开访问的文章：13 篇
A geo-indistinguishable location perturbation mechanism for location-based services supporting frequent queries
J Hua, W Tong, F Xu, S Zhong
IEEE Transactions on Information Forensics and Security 13 (5), 1155-1168, 2017
强制性开放获取政策： 国家自然科学基金委员会
Asymo: scalable and efficient deep-learning inference on asymmetric mobile cpus
M Wang, S Ding, T Cao, Y Liu, F Xu
Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021
强制性开放获取政策： 国家自然科学基金委员会
PECAM: Privacy-enhanced video streaming and analytics via securely-reversible transformation
H Wu, X Tian, M Li, Y Liu, G Ananthanarayanan, F Xu, S Zhong
Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Privacy-preserving data integrity verification for secure mobile edge storage
W Tong, W Chen, B Jiang, F Xu, Q Li, S Zhong
IEEE Transactions on Mobile Computing 22 (9), 5463-5478, 2022
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Towards thwarting template side-channel attacks in secure cloud deduplications
Y Zhang, Y Mao, M Xu, F Xu, S Zhong
IEEE Transactions on Dependable and Secure Computing 18 (3), 1008-1018, 2019
强制性开放获取政策： 国家自然科学基金委员会
DAPter: Preventing user data abuse in deep learning inference services
H Wu, X Tian, Y Gong, X Su, M Li, F Xu
Proceedings of the Web Conference 2021, 1017-1028, 2021
强制性开放获取政策： 国家自然科学基金委员会
secgan: A cycle-consistent gan for securely-recoverable video transformation
H Wu, J Feng, X Tian, F Xu, Y Liu, XF Wang, S Zhong
Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and …, 2019
强制性开放获取政策： 国家自然科学基金委员会
Detecting GAN-based privacy attack in distributed learning
Y Xiong, F Xu, S Zhong
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020
强制性开放获取政策： 国家自然科学基金委员会
Privacy-Preserving Optimal Recovering for the Nearly Exhausted Payment Channels
M Xu, Y Zhang, F Xu, S Zhong
2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 1-10, 2021
强制性开放获取政策： 国家自然科学基金委员会
Exploiting adversarial examples to drain computational resources on mobile deep learning systems
H Gao, Y Tian, R Yao, F Xu, X Fu, S Zhong
2020 IEEE/ACM Symposium on Edge Computing (SEC), 334-339, 2020
强制性开放获取政策： 国家自然科学基金委员会
Efficient architecture paradigm for deep learning inference as a service
J Yu, X Ke, F Xu, H Huang
2020 IEEE 39th International Performance Computing and Communications …, 2020
强制性开放获取政策： 国家自然科学基金委员会
ShuffleCAN: Enabling Moving Target Defense for Attack Mitigation on Automotive CAN
H Qian, H Han, X Zhu, F Xu
2023 19th International Conference on Mobility, Sensing and Networking (MSN …, 2023
强制性开放获取政策： 国家自然科学基金委员会
GAPter: Gray-Box Data Protector for Deep Learning Inference Services at User Side
H Wu, B Yang, X Ke, S He, F Xu, S Zhong
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：28 篇
Enabling efficient cyber threat hunting with cyber threat intelligence
P Gao, F Shao, X Liu, X Xiao, Z Qin, F Xu, P Mittal, SR Kulkarni, D Song
2021 IEEE 37th International Conference on Data Engineering (ICDE), 193-204, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense, 国家自然科学基金委员会
Occlumency: Privacy-preserving remote deep-learning inference using SGX
T Lee, Z Lin, S Pushp, C Li, Y Liu, Y Lee, F Xu, C Xu, L Zhang, J Song
The 25th Annual International Conference on Mobile Computing and Networking …, 2019
强制性开放获取政策： 国家自然科学基金委员会
Nodemerge: Template based efficient data reduction for big-data causality analysis
Y Tang, D Li, Z Li, M Zhang, K Jee, X Xiao, Z Wu, J Rhee, F Xu, Q Li
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
强制性开放获取政策： 国家自然科学基金委员会
{AIQL}: Enabling efficient attack investigation from system monitoring data
P Gao, X Xiao, Z Li, F Xu, SR Kulkarni, P Mittal
2018 USENIX Annual Technical Conference (USENIX ATC 18), 113-126, 2018
强制性开放获取政策： US National Science Foundation
Deepintent: Deep icon-behavior learning for detecting intention-behavior discrepancy in mobile apps
S Xi, S Yang, X Xiao, Y Yao, Y Xiong, F Xu, H Wang, P Gao, Z Liu, F Xu, ...
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Privacy-preserving data integrity verification in mobile edge computing
W Tong, B Jiang, F Xu, Q Li, S Zhong
2019 IEEE 39th international conference on distributed computing systems …, 2019
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Using wireless link dynamics to extract a secret key in vehicular scenarios
X Zhu, F Xu, E Novak, CC Tan, Q Li, G Chen
IEEE Transactions on Mobile Computing 16 (7), 2065-2078, 2016
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
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