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2020 – today
- 2023
[j96]Zhiqiu Zhang
, Tianqing Zhu, Wei Ren, Ping Xiong, Kim-Kwang Raymond Choo:
Preserving data privacy in federated learning through large gradient pruning. Comput. Secur. 125: 103039 (2023)- [j95]Wen Huang, Ming Zhuo, Tianqing Zhu, Shijie Zhou, Yongjian Liao:
Differential privacy: Review of improving utility through cryptography-based technologies. Concurr. Comput. Pract. Exp. 35(5) (2023) - [j94]Hanyu Xue, Bo Liu, Xin Yuan, Ming Ding, Tianqing Zhu:
Face image de-identification by feature space adversarial perturbation. Concurr. Comput. Pract. Exp. 35(5) (2023) - [j93]Mengmeng Yang, Kwok-Yan Lam, Tianqing Zhu, Chenghua Tang:
SPoFC: A framework for stream data aggregation with local differential privacy. Concurr. Comput. Pract. Exp. 35(5) (2023) - [j92]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) - [j91]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) - [j90]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) - [j89]Yizhi Liu, Xiaohan Hao, Wei Ren, Ruoting Xiong, Tianqing Zhu, Kim-Kwang Raymond Choo, Geyong Min:
A Blockchain-Based Decentralized, Fair and Authenticated Information Sharing Scheme in Zero Trust Internet-of-Things. IEEE Trans. Computers 72(2): 501-512 (2023) - [j88]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) - [j87]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) - [j86]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) - [j85]Tingting Liao, Zhen Lei, Tianqing Zhu, Shan Zeng, Yaqin Li, Cao Yuan:
Deep Metric Learning for K Nearest Neighbor Classification. IEEE Trans. Knowl. Data Eng. 35(1): 264-275 (2023) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [c40]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 - [c39]Yuan Zhao, Bo Liu, Ming Ding, Baoping Liu, Tianqing Zhu, Xin Yu:
Proactive Deepfake Defence via Identity Watermarking. WACV 2023: 4591-4600 - [c38]Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu:
TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection. WACV 2023: 4680-4689 - [i29]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) - [i28]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) - 2022
- [j80]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) - [j79]Chenguang Wang, Tianqing Zhu, Ping Xiong, Wei Ren, Kim-Kwang Raymond Choo:
A privacy preservation method for multiple-source unstructured data in online social networks. Comput. Secur. 113: 102574 (2022) - [j78]Huan Tian, Tianqing Zhu, Wanlei Zhou:
Fairness and privacy preservation for facial images: GAN-based methods. Comput. Secur. 122: 102902 (2022) - [j77]Xiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren, Kim-Kwang Raymond Choo:
Privacy, accuracy, and model fairness trade-offs in federated learning. Comput. Secur. 122: 102907 (2022) - [j76]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) - [j75]Ping Xiong, Lin Liang, Yunli Zhu, Tianqing Zhu:
PriTxt: A privacy risk assessment method for text data based on semantic correlation learning. Concurr. Comput. Pract. Exp. 34(5) (2022) - [j74]Sheng Shen, Tianqing Zhu, Dayong Ye, Minghao Wang, Xuhan Zuo, Andi Zhou:
A novel differentially private advising framework in cloud server environment. Concurr. Comput. Pract. Exp. 34(7) (2022) - [j73]Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou:
Correlated data in differential privacy: Definition and analysis. Concurr. Comput. Pract. Exp. 34(16) (2022) - [j72]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) - [j71]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) - [j70]Ximing Liu, Tianqing Zhu, Cuiqing Jiang, Dayong Ye, Fuqing Zhao:
Prioritized Experience Replay based on Multi-armed Bandit. Expert Syst. Appl. 189: 116023 (2022) - [j69]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) - [j68]Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao:
Privately Publishing Internet of Things Data: Bring Personalized Sampling Into Differentially Private Mechanisms. IEEE Internet Things J. 9(1): 80-91 (2022) - [j67]Tianqing Zhu, Wei Zhou, Dayong Ye, Zishuo Cheng, Jin Li:
Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning. IEEE Internet Things J. 9(2): 1414-1426 (2022) - [j66]Xiang Yu, Dongmei Zhang, Tianqing Zhu, Xinwei Jiang:
Novel hybrid multi-head self-attention and multifractal algorithm for non-stationary time series prediction. Inf. Sci. 613: 541-555 (2022) - [j65]Ping Xiong, Guirong Li, Wei Ren, Tianqing Zhu:
LOPO: a location privacy preserving path optimization scheme for spatial crowdsourcing. J. Ambient Intell. Humaniz. Comput. 13(12): 5803-5818 (2022) - [j64]Mingze Ni, Ce Wang, Tianqing Zhu, Shui Yu, Wei Liu:
Attacking neural machine translations via hybrid attention learning. Mach. Learn. 111(11): 3977-4002 (2022) - [j63]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) - [j62]Huiying Zou, Xiaofan Liu, Wei Ren, Tianqing Zhu:
A Decentralized Electronic Reporting Scheme with Privacy Protection Based on Proxy Signature and Blockchain. Secur. Commun. Networks 2022: 5424395:1-5424395:8 (2022) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [c37]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 - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]Yuexin Xiang, Yuchen Lei, Ding Bao, Wei Ren, Tiantian Li, Qingqing Yang, Wenmao Liu, Tianqing Zhu, Kim-Kwang Raymond Choo:
BABD: A Bitcoin Address Behavior Dataset for Address Behavior Pattern Analysis. CoRR abs/2204.05746 (2022) - [i22]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
- [j54]Xin Chen, Tao Zhang, Sheng Shen, Tianqing Zhu, Ping Xiong:
An optimized differential privacy scheme with reinforcement learning in VANET. Comput. Secur. 110: 102446 (2021) - [j53]Yang Xia, Tianqing Zhu, Xiaofeng Ding, Hai Jin, Deqing Zou:
Heterogeneous differential privacy for vertically partitioned databases. Concurr. Comput. Pract. Exp. 33(8) (2021) - [j52]Xiaohan Hao, Wei Ren, Ruoting Xiong, Tianqing Zhu, Kim-Kwang Raymond Choo:
Asymmetric cryptographic functions based on generative adversarial neural networks for Internet of Things. Future Gener. Comput. Syst. 124: 243-253 (2021) - [j51]Zhenfei Chen, Tianqing Zhu, Ping Xiong, Chenguang Wang, Wei Ren:
Privacy preservation for image data: A GAN-based method. Int. J. Intell. Syst. 36(4): 1668-1685 (2021) - [j50]Tiantian Li, Wei Ren, Yuexin Xiang, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo, Gautam Srivastava:
FAPS: A fair, autonomous and privacy-preserving scheme for big data exchange based on oblivious transfer, Ether cheque and smart contracts. Inf. Sci. 544: 469-484 (2021) - [j49]Yuexin Xiang, Wei Ren, Tiantian Li, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo:
A multi-type and decentralized data transaction scheme based on smart contracts and digital watermarks. J. Netw. Comput. Appl. 176: 102953 (2021) - [j48]Ruiyang Xiao, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo:
A Mixing Scheme Using a Decentralized Signature Protocol for Privacy Protection in Bitcoin Blockchain. IEEE Trans. Dependable Secur. Comput. 18(4): 1793-1803 (2021) - [j47]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. IEEE Trans. Inf. Forensics Secur. 16: 569-584 (2021) - [j46]Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu, Tianqing Zhu, Wanlei Zhou:
Game Theoretical Adversarial Deep Learning With Variational Adversaries. IEEE Trans. Knowl. Data Eng. 33(11): 3568-3581 (2021) - [j45]Zhibo Wang, Jing Zhao, Jiahui Hu, Tianqing Zhu, Qian Wang, Ju Ren, Chao Li:
Towards Personalized Task-Oriented Worker Recruitment in Mobile Crowdsensing. IEEE Trans. Mob. Comput. 20(5): 2080-2093 (2021) - [c36]Zhenfei Chen, Tianqing Zhu, Bing Tian, Yu Wang, Wei Ren:
A Semantic-based Replacement for Event Image Privacy. CSE 2021: 130-137 - [c35]Weihui Qiu, Xin Yang, Ming Wei, Wei Ren, Tianqing Zhu:
A Blockchain-based Fast Authentication and Collaborative Video Data Forwarding Scheme for Vehicular Networks. EUC 2021: 56-63 - [c34]Ping Xiong, Lin Liang, Yunli Zhu, Tianqing Zhu:
Privacy Risk Assessment for Text Data Based on Semantic Correlation Learning. WASA (3) 2021: 200-208 - [c33]Cheng Xu, Wei Ren, Daxi Tu, Linchen Yu, Tianqing Zhu, Yi Ren:
CDVT: A Cluster-Based Distributed Video Transcoding Scheme for Mobile Stream Services. WASA (1) 2021: 608-628 - [i21]Bo Liu, Ming Ding, Hanyu Xue, Tianqing Zhu, Dayong Ye, Li Song, Wanlei Zhou:
DP-Image: Differential Privacy for Image Data in Feature Space. CoRR abs/2103.07073 (2021) - [i20]Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Tianqing Zhu, Jun Zhao:
Fair and Differentially Private Distributed Frequency Estimation. CoRR abs/2104.05974 (2021) - [i19]Yuexin Xiang, Tiantian Li, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo:
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning. CoRR abs/2105.08876 (2021) - [i18]Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu:
Semantic-Preserving Adversarial Text Attacks. CoRR abs/2108.10015 (2021) - [i17]Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin, Ping Xiong, Wanlei Zhou:
Adversarial Attacks Against Deep Generative Models on Data: A Survey. CoRR abs/2112.00247 (2021) - 2020
- [j44]Jianghua Liu, Jingyu Hou, Xinyi Huang, Yang Xiang, Tianqing Zhu:
Secure and efficient sharing of authenticated energy usage data with privacy preservation. Comput. Secur. 92: 101756 (2020) - [j43]Minghao Wang, Tianqing Zhu, Tao Zhang, Jun Zhang, Shui Yu, Wanlei Zhou:
Security and privacy in 6G networks: New areas and new challenges. Digit. Commun. Networks 6(3): 281-291 (2020) - [j42]Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu:
Differentially private model publishing in cyber physical systems. Future Gener. Comput. Syst. 108: 1297-1306 (2020) - [j41]Ping Xiong, Lefeng Zhang, Tianqing Zhu, Gang Li, Wanlei Zhou:
Private collaborative filtering under untrusted recommender server. Future Gener. Comput. Syst. 109: 511-520 (2020) - [j40]Sen He, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo:
BoSMoS: A Blockchain-Based Status Monitoring System for Defending Against Unauthorized Software Updating in Industrial Internet of Things. IEEE Internet Things J. 7(2): 948-959 (2020) - [j39]Cheng Xu, Wei Ren, Linchen Yu, Tianqing Zhu, Kim-Kwang Raymond Choo:
A Hierarchical Encryption and Key Management Scheme for Layered Access Control on H.264/SVC Bitstream in the Internet of Things. IEEE Internet Things J. 7(9): 8932-8942 (2020) - [j38]Wei Ren, Jingjing Hu, Tianqing Zhu, Yi Ren, Kim-Kwang Raymond Choo:
A flexible method to defend against computationally resourceful miners in blockchain proof of work. Inf. Sci. 507: 161-171 (2020) - [j37]Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning. IEEE Trans. Cybern. 50(10): 4214-4227 (2020) - [j36]Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou:
Correlated Differential Privacy: Feature Selection in Machine Learning. IEEE Trans. Ind. Informatics 16(3): 2115-2124 (2020) - [c32]Yanxin Zhang, Guanping Xiao, Zheng Zheng, Tianqing Zhu, Ivor W. Tsang, Yulei Sui:
An Empirical Study of Code Deobfuscations on Detecting Obfuscated Android Piggybacked Apps. APSEC 2020: 41-50 - [c31]Hanyu Xue, Bo Liu, Ming Ding, Li Song, Tianqing Zhu:
Hiding Private Information in Images From AI. ICC 2020: 1-6 - [c30]Haocong Li, Yunjia Cheng, Wei Ren, Tianqing Zhu:
A Fast Robustness Quantification Method for Evaluating Typical Deep Learning Models by Generally Image Processing. ISPA/BDCloud/SocialCom/SustainCom 2020: 110-117 - [c29]Zhenfei Chen, Tianqing Zhu, Chenguang Wang, Wei Ren, Ping Xiong:
GAN-Based Image Privacy Preservation: Balancing Privacy and Utility. ML4CS (1) 2020: 287-296 - [c28]Yuao Wang, Tianqing Zhu, Wenhan Chang, Sheng Shen, Wei Ren:
Model Poisoning Defense on Federated Learning: A Validation Based Approach. NSS 2020: 207-223 - [c27]Jingye Tang, Tianqing Zhu, Ping Xiong, Yu Wang, Wei Ren:
Privacy and Utility Trade-Off for Textual Analysis via Calibrated Multivariate Perturbations. NSS 2020: 342-353 - [c26]Xiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren:
The Impact of Differential Privacy on Model Fairness in Federated Learning. NSS 2020: 419-430 - [c25]Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao, Chunjiang Wu, Shilin Qiu:
Improving Laplace Mechanism of Differential Privacy by Personalized Sampling. TrustCom 2020: 623-630 - [c24]Xiaohan Hao, Wei Ren, Wenwen Zheng, Tianqing Zhu:
SCScan: A SVM-based Scanning System for Vulnerabilities in Blockchain Smart Contracts. TrustCom 2020: 1598-1605 - [p2]Minghao Wang, Xuhan Zuo, Tianqing Zhu:
Blockchain in 5G and 6G networks. Blockchains for Network Security 2020: 137-173 - [i16]Xiaohan Hao, Wei Ren, Ruoting Xiong, Xianghan Zheng, Tianqing Zhu, Neal N. Xiong:
Fair and autonomous sharing of federate learning models in mobile Internet of Things. CoRR abs/2007.10650 (2020) - [i15]Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou:
Correlated Data in Differential Privacy: Definition and Analysis. CoRR abs/2008.00180 (2020) - [i14]Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu:
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. CoRR abs/2008.01916 (2020) - [i13]Mengmeng Yang, Lingjuan Lyu, Jun Zhao, Tianqing Zhu, Kwok-Yan Lam:
Local Differential Privacy and Its Applications: A Comprehensive Survey. CoRR abs/2008.03686 (2020) - [i12]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. CoRR abs/2008.05629 (2020) - [i11]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu:
Differentially Private Multi-Agent Planning for Logistic-like Problems. CoRR abs/2008.06832 (2020) - [i10]Chi Liu, Tianqing Zhu, Jun Zhang, Wanlei Zhou:
Privacy Intelligence: A Survey on Image Sharing on Online Social Networks. CoRR abs/2008.12199 (2020) - [i9]Yuexin Xiang, Wei Ren, Tiantian Li, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo:
Efficiently Constructing Adversarial Examples by Feature Watermarking. CoRR abs/2009.05107 (2020) - [i8]Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu:
Fairness Constraints in Semi-supervised Learning. CoRR abs/2009.06190 (2020) - [i7]Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu:
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination. CoRR abs/2009.12040 (2020) - [i6]Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou:
Correlated Differential Privacy: Feature Selection in Machine Learning. CoRR abs/2010.03094 (2020) - [i5]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. CoRR abs/2010.09258 (2020) - [i4]Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao:
the Connection between Cryptography and Differential Privacy: a Survey. CoRR abs/2011.00976 (2020) - [i3]Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu:
Differential Advising in Multi-Agent Reinforcement Learning. CoRR abs/2011.03640 (2020)
2010 – 2019
- 2019
- [j35]Shixiong Yao, Jing Chen, Kun He, Ruiying Du, Tianqing Zhu, Xin Chen:
PBCert: Privacy-Preserving Blockchain-Based Certificate Status Validation Toward Mass Storage Management. IEEE Access 7: 6117-6128 (2019) - [j34]Nan Lu, Tianqing Zhu, Fangqun Ouyang, Yan Xia, Qingfen Li, Zirui Jia, Jiwen Hu, Juanjuan Ling, Wenjun Ma, Guijuan Yang, Hanguo Zhang, Lisheng Kong, Junhui Wang:
PICEAdatabase: a web database for Picea omics and phenotypic information. Database J. Biol. Databases Curation 2019: baz089 (2019) - [j33]Ping Xiong, Danyang Zhu, Lefeng Zhang, Wei Ren, Tianqing Zhu:
Optimizing rewards allocation for privacy-preserving spatial crowdsourcing. Comput. Commun. 146: 85-94 (2019) - [j32]Bo Liu, Ming Ding, Tianqing Zhu, Yong Xiang, Wanlei Zhou:
Adversaries or allies? Privacy and deep learning in big data era. Concurr. Comput. Pract. Exp. 31(19) (2019) - [j31]