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2020 – today
- 2024
[j11]Xiaoxue Hu, Geling Liu, Baolin Zheng, Lingchen Zhao
, Qian Wang, Yufei Zhang, Minxin Du:
FastTextDodger: Decision-Based Adversarial Attack Against Black-Box NLP Models With Extremely High Efficiency. IEEE Trans. Inf. Forensics Secur. 19: 2398-2411 (2024)- [j10]Man Zhou, Wenyu Zhou, Jie Huang, Junhui Yang, Minxin Du, Qi Li:
Stealthy and Effective Physical Adversarial Attacks in Autonomous Driving. IEEE Trans. Inf. Forensics Secur. 19: 6795-6809 (2024) - [c12]Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue:
Machine Unlearning of Pre-trained Large Language Models. ACL (1) 2024: 8403-8419 - [i5]Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue:
Machine Unlearning of Pre-trained Large Language Models. CoRR abs/2402.15159 (2024) - 2023
- [j9]Minxin Du, Peipei Jiang, Qian Wang, Sherman S. M. Chow, Lingchen Zhao:
Shielding Graph for eXact Analytics With SGX. IEEE Trans. Dependable Secur. Comput. 20(6): 5102-5112 (2023) - [j8]Yunjie Ge, Lingchen Zhao, Qian Wang, Yiheng Duan, Minxin Du:
AdvDDoS: Zero-Query Adversarial Attacks Against Commercial Speech Recognition Systems. IEEE Trans. Inf. Forensics Secur. 18: 3647-3661 (2023) - [c11]Yu Zheng, Wei Song, Minxin Du, Sherman S. M. Chow, Qian Lou, Yongjun Zhao, Xiuhua Wang:
Cryptography-Inspired Federated Learning for Generative Adversarial Networks and Meta Learning. ADMA (2) 2023: 393-407 - [c10]Minxin Du, Xiang Yue, Sherman S. M. Chow, Tianhao Wang, Chenyu Huang, Huan Sun:
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. CCS 2023: 2665-2679 - [c9]Minxin Du, Xiang Yue, Sherman S. M. Chow, Huan Sun:
Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy. WWW 2023: 2349-2359 - [i4]Minxin Du, Xiang Yue, Sherman S. M. Chow, Tianhao Wang, Chenyu Huang, Huan Sun:
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. CoRR abs/2309.06746 (2023) - 2022
- [j7]Minxin Du, Shuangke Wu, Qian Wang, Dian Chen, Peipei Jiang, Aziz Mohaisen:
GraphShield: Dynamic Large Graphs for Secure Queries With Forward Privacy. IEEE Trans. Knowl. Data Eng. 34(7): 3295-3308 (2022) - [c8]Yu Zheng, Heng Tian, Minxin Du, Chong Fu:
Encrypted video search: scalable, modular, and content-similar. MMSys 2022: 177-190 - 2021
- [j6]Minghui Li, Yuejing Yan, Qian Wang, Minxin Du, Zhan Qin, Cong Wang:
Secure Prediction of Neural Network in the Cloud. IEEE Netw. 35(1): 251-257 (2021) - [c7]Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow:
Differential Privacy for Text Analytics via Natural Text Sanitization. ACL/IJCNLP (Findings) 2021: 3853-3866 - [i3]Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow:
Differential Privacy for Text Analytics via Natural Text Sanitization. CoRR abs/2106.01221 (2021) - 2020
- [c6]Jiafan Wang, Minxin Du, Sherman S. M. Chow:
Stargazing in the Dark: Secure Skyline Queries with SGX. DASFAA (3) 2020: 322-338 - [i2]Minghui Li, Sherman S. M. Chow, Shengshan Hu, Yuejing Yan, Minxin Du, Zhibo Wang:
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions. CoRR abs/2002.10944 (2020)
2010 – 2019
- 2019
- [j5]Yanjiao Chen, Xin Tian, Qian Wang, Minghui Li, Minxin Du, Qi Li:
ARMOR: A Secure Combinatorial Auction for Heterogeneous Spectrum. IEEE Trans. Mob. Comput. 18(10): 2270-2284 (2019) - [i1]Lingchen Zhao, Qian Wang, Cong Wang, Qi Li, Chao Shen, Xiaodong Lin, Shengshan Hu, Minxin Du:
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service. CoRR abs/1909.06961 (2019) - 2018
- [j4]Qian Wang, Meiqi He, Minxin Du, Sherman S. M. Chow, Russell W. F. Lai, Qin Zou:
Searchable Encryption over Feature-Rich Data. IEEE Trans. Dependable Secur. Comput. 15(3): 496-510 (2018) - [j3]Minxin Du, Qian Wang, Meiqi He, Jian Weng:
Privacy-Preserving Indexing and Query Processing for Secure Dynamic Cloud Storage. IEEE Trans. Inf. Forensics Secur. 13(9): 2320-2332 (2018) - [j2]Shengshan Hu, Minghui Li, Qian Wang, Sherman S. M. Chow, Minxin Du:
Outsourced Biometric Identification With Privacy. IEEE Trans. Inf. Forensics Secur. 13(10): 2448-2463 (2018) - [j1]Qian Wang, Minxin Du, Xiuying Chen, Yanjiao Chen, Pan Zhou, Xiaofeng Chen, Xinyi Huang:
Privacy-Preserving Collaborative Model Learning: The Case of Word Vector Training. IEEE Trans. Knowl. Data Eng. 30(12): 2381-2393 (2018) - [c5]Minghui Li, Mingxue Zhang, Qian Wang, Sherman S. M. Chow, Minxin Du, Yanjiao Chen, Chenliang Li:
InstantCryptoGram: Secure Image Retrieval Service. INFOCOM 2018: 2222-2230 - 2017
- [c4]Qian Wang, Kui Ren, Minxin Du, Qi Li, Aziz Mohaisen:
SecGDB: Graph Encryption for Exact Shortest Distance Queries with Efficient Updates. Financial Cryptography 2017: 79-97 - [c3]Qian Wang, Shengshan Hu, Minxin Du, Jingjun Wang, Kui Ren:
Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval. INFOCOM 2017: 1-9 - 2016
- [c2]Qian Wang, Shengshan Hu, Kui Ren, Jingjun Wang, Zhibo Wang, Minxin Du:
Catch me in the dark: Effective privacy-preserving outsourcing of feature extractions over image data. INFOCOM 2016: 1-9 - 2015
- [c1]Qian Wang, Shengshan Hu, Kui Ren, Meiqi He, Minxin Du, Zhibo Wang:
CloudBI: Practical Privacy-Preserving Outsourcing of Biometric Identification in the Cloud. ESORICS (2) 2015: 186-205
Coauthor Index
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