De-anonymizing social networks and inferring private attributes using knowledge graphs J Qian, XY Li, C Zhang, L Chen IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016 | 129 | 2016 |
Social network de-anonymization and privacy inference with knowledge graph model J Qian, XY Li, C Zhang, L Chen, T Jung, J Han IEEE Transactions on Dependable and Secure Computing 16 (4), 679-692, 2017 | 114 | 2017 |
Accounttrade: Accountable protocols for big data trading against dishonest consumers T Jung, XY Li, W Huang, J Qian, L Chen, J Han, J Hou, C Su IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 87 | 2017 |
Graph-based privacy-preserving data publication XY Li, C Zhang, T Jung, J Qian, L Chen IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016 | 85 | 2016 |
Hidebehind: Enjoy voice input with voiceprint unclonability and anonymity J Qian, H Du, J Hou, L Chen, T Jung, XY Li Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems …, 2018 | 74 | 2018 |
Voicemask: Anonymize and sanitize voice input on mobile devices J Qian, H Du, J Hou, L Chen, T Jung, XY Li, Y Wang, Y Deng arXiv preprint arXiv:1711.11460, 2017 | 46 | 2017 |
Accounttrade: Accountability against dishonest big data buyers and sellers T Jung, XY Li, W Huang, Z Qiao, J Qian, L Chen, J Han, J Hou IEEE Transactions on Information Forensics and Security 14 (1), 223-234, 2018 | 45 | 2018 |
Speech sanitizer: Speech content desensitization and voice anonymization J Qian, H Du, J Hou, L Chen, T Jung, XY Li IEEE Transactions on Dependable and Secure Computing 18 (6), 2631-2642, 2019 | 28 | 2019 |
Patronus: A system for privacy-preserving cloud video surveillance H Du, L Chen, J Qian, J Hou, T Jung, XY Li IEEE Journal on Selected Areas in Communications 38 (6), 1252-1261, 2020 | 23 | 2020 |
Ml defense: against prediction API threats in cloud-based machine learning service J Hou, J Qian, Y Wang, XY Li, H Du, L Chen Proceedings of the International Symposium on Quality of Service, 1-10, 2019 | 13 | 2019 |
Crowdlearning: Crowded deep learning with data privacy L Chen, T Jung, H Du, J Qian, J Hou, XY Li 2018 15th Annual IEEE International Conference on Sensing, Communication …, 2018 | 5 | 2018 |
Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation at Twitter A Virani, J Baxter, D Shiebler, P Gautier, S Verma, Y Xia, A Sharma, ... KDD IRS2020, 2020 | 4 | 2020 |
Deadline-driven multi-node mobile charging X Rao, P Yang, H Dai, T Wu, H Zhou, J Zhao, L Chen, PJ Wan arXiv preprint arXiv:1810.12385, 2018 | 4 | 2018 |
Data Privacy and Deep Learning in the Mobile Era: Traceability and Protection L Chen Illinois Institute of Technology, 2020 | 1 | 2020 |
AccountTrade: Accountability Against Dishonest Big Data Buyers and Sellers L Chen, J Han, J Hou | | |