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ORCIDWanlei Zhou 0001
Person information
- affiliation: City University of Macau, Institute of Data Science, Macau
- affiliation: University of Technology Sydney, School of Computer Science, NSW, Australia
- affiliation (1994 - 2018): Deakin University, Melbourne Burwood Campus, VIC, Australia
- affiliation (1992 - 1994): National University of Singapore, Singapore
- affiliation (PhD 1991): Australian National University, Canberra, Australia
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2020 – today
- 2024
[j259]Faqian Guan
, Tianqing Zhu, Wanlei Zhou, Kim-Kwang Raymond Choo:
Graph neural networks: a survey on the links between privacy and security. Artif. Intell. Rev. 57(2): 40 (2024)- [j258]Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou:
A two-stage model extraction attack on GANs with a small collected dataset. Comput. Secur. 137: 103634 (2024) - [j257]Chi Liu, Tianqing Zhu, Yuan Zhao, Jun Zhang, Wanlei Zhou:
Disentangling different levels of GAN fingerprints for task-specific forensics. Comput. Stand. Interfaces 89: 103825 (2024) - [j256]Huajie Chen, Chi Liu, Tianqing Zhu, Wanlei Zhou:
When deep learning meets watermarking: A survey of application, attacks and defenses. Comput. Stand. Interfaces 89: 103830 (2024) - [j255]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu:
Machine Unlearning: A Survey. ACM Comput. Surv. 56(1): 9:1-9:36 (2024) - [j254]Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu:
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. ACM Comput. Surv. 56(2): 39:1-39:37 (2024) - [j253]Yunjiao Lei, Dayong Ye, Congcong Zhu, Sheng Shen, Wanlei Zhou, Tianqing Zhu:
A GNN-based teacher-student framework with multi-advice. Expert Syst. Appl. 250: 123887 (2024) - [j252]Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Xin Yu, Wanlei Zhou:
Proactive image manipulation detection via deep semi-fragile watermark. Neurocomputing 585: 127593 (2024) - [j251]Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou:
Blockchain-Empowered Multiagent Systems: Advancing IoT Security and Transaction Efficiency. IEEE Internet Things J. 11(7): 11217-11231 (2024) - [j250]Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou:
Location-Based Real-Time Updated Advising Method for Traffic Signal Control. IEEE Internet Things J. 11(8): 14551-14562 (2024) - [j249]Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou:
Blockchain-Based Gradient Inversion and Poisoning Defense for Federated Learning. IEEE Internet Things J. 11(9): 15667-15681 (2024) - [j248]Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou:
Public and Private Blockchain Infusion: A Novel Approach to Federated Learning. IEEE Internet Things J. 11(10): 17525-17537 (2024) - [j247]Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
PPFed: A Privacy-Preserving and Personalized Federated Learning Framework. IEEE Internet Things J. 11(11): 19380-19393 (2024) - [j246]Xiaoya Wang, Tianqing Zhu, Wanlei Zhou:
Supplement data in federated learning with a generator transparent to clients. Inf. Sci. 666: 120437 (2024) - [j245]Congcong Zhu, Dayong Ye, Huan Huo, Wanlei Zhou, Tianqing Zhu:
A location-based advising method in teacher-student frameworks. Knowl. Based Syst. 285: 111333 (2024) - [j244]Mengde Han, Tianqing Zhu, Wanlei Zhou:
Fair Federated Learning with Opposite GAN. Knowl. Based Syst. 287: 111420 (2024) - [j243]Kun Gao, Tianqing Zhu, Dayong Ye, Wanlei Zhou:
Defending against gradient inversion attacks in federated learning via statistical machine unlearning. Knowl. Based Syst. 299: 111983 (2024) - [j242]Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou:
A realistic model extraction attack against graph neural networks. Knowl. Based Syst. 300: 112144 (2024) - [j241]Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou:
Boosting Model Inversion Attacks With Adversarial Examples. IEEE Trans. Dependable Secur. Comput. 21(3): 1451-1468 (2024) - [j240]Hui Sun, Tianqing Zhu, Jie Li, Shouling Ji, Wanlei Zhou:
Attribute-Based Membership Inference Attacks and Defenses on GANs. IEEE Trans. Dependable Secur. Comput. 21(4): 2376-2393 (2024) - [j239]Dayong Ye, Tianqing Zhu, Kun Gao, Wanlei Zhou:
Defending Against Label-Only Attacks via Meta-Reinforcement Learning. IEEE Trans. Inf. Forensics Secur. 19: 3295-3308 (2024) - [j238]Shuai Zhou, Tianqing Zhu, Dayong Ye, Wanlei Zhou, Wei Zhao:
Inversion-Guided Defense: Detecting Model Stealing Attacks by Output Inverting. IEEE Trans. Inf. Forensics Secur. 19: 4130-4145 (2024) - [j237]Yajie Wang, Yi Wu, Shangbo Wu, Ximeng Liu, Wanlei Zhou, Liehuang Zhu, Chuan Zhang:
Boosting the Transferability of Adversarial Attacks With Frequency-Aware Perturbation. IEEE Trans. Inf. Forensics Secur. 19: 6293-6304 (2024) - [c174]Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou:
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers. USENIX Security Symposium 2024 - [i46]Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou:
Machine Unlearning via Null Space Calibration. CoRR abs/2404.13588 (2024) - [i45]Wenhan Chang, Tianqing Zhu, Heng Xu, Wenjian Liu, Wanlei Zhou:
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning. CoRR abs/2405.15662 (2024) - [i44]Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Shui Yu, Wanlei Zhou:
Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach. CoRR abs/2405.20776 (2024) - [i43]Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Dayong Ye, Shui Yu, Wanlei Zhou:
Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning. CoRR abs/2406.04076 (2024) - [i42]Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Xu Guo, Dayong Ye, Wanlei Zhou, Philip S. Yu:
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey. CoRR abs/2406.07973 (2024) - [i41]Laiqiao Qin, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions. CoRR abs/2406.10861 (2024) - [i40]Linlin Wang, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives. CoRR abs/2406.10884 (2024) - [i39]Heng Xu, Tianqing Zhu, Wanlei Zhou, Wei Zhao:
Don't Forget Too Much: Towards Machine Unlearning on Feature Level. CoRR abs/2406.10951 (2024) - [i38]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou:
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs. CoRR abs/2406.10953 (2024) - [i37]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Wei Zhao:
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph. CoRR abs/2406.10954 (2024) - [i36]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu:
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. CoRR abs/2406.12516 (2024) - [i35]Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu:
Large Language Models for Link Stealing Attacks Against Graph Neural Networks. CoRR abs/2406.16963 (2024) - [i34]Huajie Chen, Tianqing Zhu, Lefeng Zhang, Bo Liu, Derui Wang, Wanlei Zhou, Minhui Xue:
QUEEN: Query Unlearning against Model Extraction. CoRR abs/2407.01251 (2024) - [i33]Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu:
The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies. CoRR abs/2407.19354 (2024) - 2023
- [j236]Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou:
New challenges in reinforcement learning: a survey of security and privacy. Artif. Intell. Rev. 56(7): 7195-7236 (2023) - [j235]Chi Liu, Tianqing Zhu, Jun Zhang, Wanlei Zhou:
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks. ACM Comput. Surv. 55(8): 161:1-161:35 (2023) - [j234]Shuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity. ACM Comput. Surv. 55(8): 163:1-163:39 (2023) - [j233]Xuemeng Zhai, Zhiwei Tang, Zhiwei Liu, Wanlei Zhou, Hangyu Hu, Gaolei Fei, Guangmin Hu:
Sparse representation for heterogeneous information networks. Neurocomputing 525: 111-122 (2023) - [j232]Minghao Wang, Tianqing Zhu, Xuhan Zuo, Mengmeng Yang, Shui Yu, Wanlei Zhou:
Differentially Private Crowdsourcing With the Public and Private Blockchain. IEEE Internet Things J. 10(10): 8918-8930 (2023) - [j231]Tao Zhang, Tianqing Zhu, Mengde Han, Fengwen Chen, Jing Li, Wanlei Zhou, Philip S. Yu:
Fairness in graph-based semi-supervised learning. Knowl. Inf. Syst. 65(2): 543-570 (2023) - [j230]Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
CIFair: Constructing continuous domains of invariant features for image fair classifications. Knowl. Based Syst. 268: 110417 (2023) - [j229]Tao Zhang, Tianqing Zhu, Jing Li, Wanlei Zhou, Philip S. Yu:
Revisiting model fairness via adversarial examples. Knowl. Based Syst. 277: 110777 (2023) - [j228]Zishuo Cheng, Tianqing Zhu, Congcong Zhu, Dayong Ye, Wanlei Zhou, Philip S. Yu:
Privacy and evolutionary cooperation in neural-network-based game theory. Knowl. Based Syst. 282: 111076 (2023) - [j227]Tao Zhang, Dayong Ye, Tianqing Zhu, Tingting Liao, Wanlei Zhou:
Evolution of cooperation in malicious social networks with differential privacy mechanisms. Neural Comput. Appl. 35(18): 12979-12994 (2023) - [j226]Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models. IEEE Trans. Dependable Secur. Comput. 20(2): 1435-1449 (2023) - [j225]Chi Liu, Huajie Chen, Tianqing Zhu, Jun Zhang, Wanlei Zhou:
Making DeepFakes More Spurious: Evading Deep Face Forgery Detection via Trace Removal Attack. IEEE Trans. Dependable Secur. Comput. 20(6): 5182-5196 (2023) - [j224]Tianqing Zhu, Dayong Ye, Shuai Zhou, Bo Liu, Wanlei Zhou:
Label-Only Model Inversion Attacks: Attack With the Least Information. IEEE Trans. Inf. Forensics Secur. 18: 991-1005 (2023) - [j223]Lefeng Zhang, Tianqing Zhu, Farookh Khadeer Hussain, Dayong Ye, Wanlei Zhou:
A Game-Theoretic Method for Defending Against Advanced Persistent Threats in Cyber Systems. IEEE Trans. Inf. Forensics Secur. 18: 1349-1364 (2023) - [j222]Lefeng Zhang, Tianqing Zhu, Haibin Zhang, Ping Xiong, Wanlei Zhou:
FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks. IEEE Trans. Inf. Forensics Secur. 18: 4732-4746 (2023) - [j221]Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu:
A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy. IEEE Trans. Knowl. Data Eng. 35(4): 3333-3346 (2023) - [j220]Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin, Ping Xiong, Wanlei Zhou:
Adversarial Attacks Against Deep Generative Models on Data: A Survey. IEEE Trans. Knowl. Data Eng. 35(4): 3367-3388 (2023) - [j219]Xiangyu Hu, Tianqing Zhu, Xuemeng Zhai, Wanlei Zhou, Wei Zhao:
Privacy Data Propagation and Preservation in Social Media: A Real-World Case Study. IEEE Trans. Knowl. Data Eng. 35(4): 4137-4150 (2023) - [j218]Xiangyu Hu, Tianqing Zhu, Xuemeng Zhai, Hengming Wang, Wanlei Zhou, Wei Zhao:
Privacy Data Diffusion Modeling and Preserving in Online Social Network. IEEE Trans. Knowl. Data Eng. 35(6): 6224-6237 (2023) - [j217]Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu:
A Game-Theoretic Federated Learning Framework for Data Quality Improvement. IEEE Trans. Knowl. Data Eng. 35(11): 10952-10966 (2023) - [j216]Tao Zhang, Tianqing Zhu, Kun Gao, Wanlei Zhou, Philip S. Yu:
Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5557-5569 (2023) - [j215]Dayong Ye, Tianqing Zhu, Congcong Zhu, Wanlei Zhou, Philip S. Yu:
Model-Based Self-Advising for Multi-Agent Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7934-7945 (2023) - [j214]Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou, Philip S. Yu:
Learning Games for Defending Advanced Persistent Threats in Cyber Systems. IEEE Trans. Syst. Man Cybern. Syst. 53(4): 2410-2422 (2023) - [j213]Congcong Zhu, Zishuo Cheng, Dayong Ye, Farookh Khadeer Hussain, Tianqing Zhu, Wanlei Zhou:
Time-Driven and Privacy-Preserving Navigation Model for Vehicle-to-Vehicle Communication Systems. IEEE Trans. Veh. Technol. 72(7): 8459-8470 (2023) - [c173]Suleiman Abahussein, Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou:
Protect Trajectory Privacy in Food Delivery with Differential Privacy and Multi-agent Reinforcement Learning. AINA (3) 2023: 48-59 - [c172]Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. IJCAI 2023: 464-472 - [c171]Penghui Wen, Kun Hu, Wenxi Yue, Sen Zhang, Wanlei Zhou, Zhiyong Wang:
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms. INTERSPEECH 2023: 271-275 - [i32]Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou:
New Challenges in Reinforcement Learning: A Survey of Security and Privacy. CoRR abs/2301.00188 (2023) - [i31]Huajie Chen, Tianqing Zhu, Chi Liu, Shui Yu, Wanlei Zhou:
High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking. CoRR abs/2302.08637 (2023) - [i30]Huajie Chen, Tianqing Zhu, Yuan Zhao, Bo Liu, Xin Yu, Wanlei Zhou:
Low-frequency Image Deep Steganography: Manipulate the Frequency Distribution to Hide Secrets with Tenacious Robustness. CoRR abs/2303.13713 (2023) - [i29]Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation. CoRR abs/2306.01364 (2023) - [i28]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu:
Machine Unlearning: A Survey. CoRR abs/2306.03558 (2023) - [i27]Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou:
Boosting Model Inversion Attacks with Adversarial Examples. CoRR abs/2306.13965 (2023) - [i26]Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu:
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off. CoRR abs/2306.14123 (2023) - [i25]Penghui Wen, Kun Hu, Wenxi Yue, Sen Zhang, Wanlei Zhou, Zhiyong Wang:
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms. CoRR abs/2308.09302 (2023) - [i24]Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou:
Generative Adversarial Networks Unlearning. CoRR abs/2308.09881 (2023) - [i23]Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
FD-MIA: Efficient Attacks on Fairness-enhanced Models. CoRR abs/2311.03865 (2023) - [i22]Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou:
Reinforcement Unlearning. CoRR abs/2312.15910 (2023) - 2022
- [j212]Guangsheng Zhang, Bo Liu, Tianqing Zhu, Andi Zhou, Wanlei Zhou:
Visual privacy attacks and defenses in deep learning: a survey. Artif. Intell. Rev. 55(6): 4347-4401 (2022) - [j211]Huan Tian, Tianqing Zhu, Wanlei Zhou:
Fairness and privacy preservation for facial images: GAN-based methods. Comput. Secur. 122: 102902 (2022) - [j210]Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
Private-encoder: Enforcing privacy in latent space for human face images. Concurr. Comput. Pract. Exp. 34(3) (2022) - [j209]Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou:
Correlated data in differential privacy: Definition and analysis. Concurr. Comput. Pract. Exp. 34(16) (2022) - [j208]Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou:
From distributed machine learning to federated learning: In the view of data privacy and security. Concurr. Comput. Pract. Exp. 34(16) (2022) - [j207]Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu:
More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design. ACM Comput. Surv. 54(7): 136:1-136:37 (2022) - [j206]Zishuo Cheng, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu, Congcong Zhu:
Multi-agent reinforcement learning via knowledge transfer with differentially private noise. Int. J. Intell. Syst. 37(1): 799-828 (2022) - [j205]Kasra Majbouri Yazdi, Jingyu Hou, Saeid Khodayi, Adel Majbouri Yazdi, Saeed Saedi, Wanlei Zhou:
Data forwarding: A new VoteRank and Assortativity based approach to improve propagation time in social networks. J. High Speed Networks 28(4): 275-285 (2022) - [j204]Huan Tian, Tianqing Zhu, Wei Liu, Wanlei Zhou:
Image fairness in deep learning: problems, models, and challenges. Neural Comput. Appl. 34(15): 12875-12893 (2022) - [j203]Zichuan Xu, Lizhen Zhou, Haipeng Dai, Weifa Liang, Wanlei Zhou, Pan Zhou, Wenzheng Xu, Guowei Wu:
Energy-Aware Collaborative Service Caching in a 5G-Enabled MEC With Uncertain Payoffs. IEEE Trans. Commun. 70(2): 1058-1071 (2022) - [j202]Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu:
Differential Advising in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 52(6): 5508-5521 (2022) - [j201]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu:
Differentially Private Multi-Agent Planning for Logistic-Like Problems. IEEE Trans. Dependable Secur. Comput. 19(2): 1212-1226 (2022) - [j200]Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou:
One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17: 1466-1480 (2022) - [j199]Shi-Jinn Horng, Dinh-Trung Vu, Thi-Van Nguyen, Wanlei Zhou, Chin-Teng Lin:
Recognizing Palm Vein in Smartphones Using RGB Images. IEEE Trans. Ind. Informatics 18(9): 5992-6002 (2022) - [j198]Shi-Jinn Horng, Julian Supardi, Wanlei Zhou, Chin-Teng Lin, Bin Jiang:
Recognizing Very Small Face Images Using Convolution Neural Networks. IEEE Trans. Intell. Transp. Syst. 23(3): 2103-2115 (2022) - [j197]Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu:
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination. IEEE Trans. Knowl. Data Eng. 34(4): 1763-1774 (2022) - [j196]Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu:
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. IEEE Trans. Knowl. Data Eng. 34(6): 2824-2843 (2022) - [j195]Tianqing Zhu, Jin Li, Xiangyu Hu, Ping Xiong, Wanlei Zhou:
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks. IEEE Trans. Knowl. Data Eng. 34(6): 2962-2974 (2022) - [j194]Weifa Liang, Yu Ma, Wenzheng Xu, Zichuan Xu, Xiaohua Jia, Wanlei Zhou:
Request Reliability Augmentation With Service Function Chain Requirements in Mobile Edge Computing. IEEE Trans. Mob. Comput. 21(12): 4541-4554 (2022) - [j193]Zichuan Xu, Haozhe Ren, Weifa Liang, Qiufen Xia, Wanlei Zhou, Pan Zhou, Wenzheng Xu, Guowei Wu, Mingchu Li:
Near Optimal Learning-Driven Mechanisms for Stable NFV Markets in Multitier Cloud Networks. IEEE/ACM Trans. Netw. 30(6): 2601-2615 (2022) - [j192]Jing Li, Weifa Liang, Zichuan Xu, Xiaohua Jia, Wanlei Zhou:
Service Provisioning for Multi-source IoT Applications in Mobile Edge Computing. ACM Trans. Sens. Networks 18(2): 17:1-17:25 (2022) - [j191]Jing Li, Weifa Liang, Wenzheng Xu, Zichuan Xu, Xiaohua Jia, Wanlei Zhou, Jin Zhao:
Maximizing User Service Satisfaction for Delay-Sensitive IoT Applications in Edge Computing. IEEE Trans. Parallel Distributed Syst. 33(5): 1199-1212 (2022) - [j190]Tianrui Zong, Juan Zhao, Yong Xiang, Iynkaran Natgunanathan, Longxiang Gao, Wanlei Zhou:
Desynchronization-attack-resilient audio watermarking mechanism for stereo signals using the linear correlation between channels. World Wide Web 25(1): 357-379 (2022) - [j189]Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou:
Time-optimal and privacy preserving route planning for carpool policy. World Wide Web 25(3): 1151-1168 (2022) - [c170]Suleiman Abahussein, Zishuo Cheng, Tianqing Zhu, Dayong Ye, Wanlei Zhou:
Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces. AI 2022: 15-26 - [i21]Dayong Ye, Tianqing Zhu, Shuai Zhou, Bo Liu, Wanlei Zhou:
Label-only Model Inversion Attack: The Attack that Requires the Least Information. CoRR abs/2203.06555 (2022) - [i20]Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji:
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It. CoRR abs/2203.06570 (2022) - [i19]Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou:
One Parameter Defense - Defending against Data Inference Attacks via Differential Privacy. CoRR abs/2203.06580 (2022) - [i18]Chi Liu, Huajie Chen, Tianqing Zhu, Jun Zhang, Wanlei Zhou:
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack. CoRR abs/2203.11433 (2022) - [i17]Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou:
How Does a Deep Learning Model Architecture Impact Its Privacy? CoRR abs/2210.11049 (2022) - 2021
- [j188]