CloudBI: Practical Privacy-Preserving Outsourcing of Biometric Identification in the Cloud. - Qian Wang 002; Shengshan Hu; Kui Ren 001; Meiqi He; Minxin Du; Zhibo Wang 001 (ESORICS (2), 2015)

Catch me in the dark: Effective privacy-preserving outsourcing of feature extractions over image data. - Qian Wang 002; Shengshan Hu; Kui Ren 001; Jingjun Wang; Zhibo Wang 001; Minxin Du (INFOCOM, 2016)

SecGDB: Graph Encryption for Exact Shortest Distance Queries with Efficient Updates. - Qian Wang 002; Kui Ren 001; Minxin Du; Qi Li 002; Aziz Mohaisen (Financial Cryptography, 2017)

Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval. - Qian Wang 002; Shengshan Hu; Minxin Du; Jingjun Wang; Kui Ren 001 (INFOCOM, 2017)

InstantCryptoGram: Secure Image Retrieval Service. - Minghui Li; Mingxue Zhang 001; Qian Wang 002; Sherman S. M. Chow; Minxin Du; Yanjiao Chen; Chenliang Li (INFOCOM, 2018)

Searchable Encryption over Feature-Rich Data. - Qian Wang 002; Meiqi He; Minxin Du; Sherman S. M. Chow; Russell W. F. Lai; Qin Zou 001 (IEEE Trans. Dependable Secur. Comput., 2018)

Privacy-Preserving Indexing and Query Processing for Secure Dynamic Cloud Storage. - Minxin Du; Qian Wang 002; Meiqi He; Jian Weng 001 (IEEE Trans. Inf. Forensics Secur., 2018)

Outsourced Biometric Identification With Privacy. - Shengshan Hu; Minghui Li; Qian Wang 002; Sherman S. M. Chow; Minxin Du (IEEE Trans. Inf. Forensics Secur., 2018)

Privacy-Preserving Collaborative Model Learning: The Case of Word Vector Training. - Qian Wang 002; Minxin Du; Xiuying Chen; Yanjiao Chen; Pan Zhou 001; Xiaofeng Chen 001; Xinyi Huang 001 (IEEE Trans. Knowl. Data Eng., 2018)

VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service. - Lingchen Zhao; Qian Wang 002; Cong Wang 001; Qi Li 002; Chao Shen 001; Xiaodong Lin 001; Shengshan Hu; Minxin Du (CoRR, 2019)

ARMOR: A Secure Combinatorial Auction for Heterogeneous Spectrum. - Yanjiao Chen; Xin Tian; Qian Wang 002; Minghui Li; Minxin Du; Qi Li 002 (IEEE Trans. Mob. Comput., 2019)

Stargazing in the Dark: Secure Skyline Queries with SGX. - Jiafan Wang 001; Minxin Du; Sherman S. M. Chow (DASFAA (3), 2020)

Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions. - Minghui Li; Sherman S. M. Chow; Shengshan Hu; Yuejing Yan; Minxin Du; Zhibo Wang 001 (CoRR, 2020)

Differential Privacy for Text Analytics via Natural Text Sanitization. - Xiang Yue; Minxin Du; Tianhao Wang 001; Yaliang Li; Huan Sun 001; Sherman S. M. Chow (ACL/IJCNLP (Findings), 2021)

Secure Prediction of Neural Network in the Cloud. - Minghui Li; Yuejing Yan; Qian Wang 002; Minxin Du; Zhan Qin; Cong Wang 001 (IEEE Netw., 2021)

Encrypted video search: scalable, modular, and content-similar. - Yu Zheng 021; Heng Tian; Minxin Du; Chong Fu 001 (MMSys, 2022)

GraphShield: Dynamic Large Graphs for Secure Queries With Forward Privacy. - Minxin Du; Shuangke Wu; Qian Wang 002; Dian Chen 004; Peipei Jiang 002; Aziz Mohaisen (IEEE Trans. Knowl. Data Eng., 2022)

Cryptography-Inspired Federated Learning for Generative Adversarial Networks and Meta Learning. - Yu Zheng 021; Wei Song; Minxin Du; Sherman S. M. Chow; Qian Lou; Yongjun Zhao 001; Xiuhua Wang 009 (ADMA (2), 2023)

DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. - Minxin Du; Xiang Yue; Sherman S. M. Chow; Tianhao Wang 001; Chenyu Huang; Huan Sun 001 (CCS, 2023)

Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy. - Minxin Du; Xiang Yue; Sherman S. M. Chow; Huan Sun 001 (WWW, 2023)

Shielding Graph for eXact Analytics With SGX. - Minxin Du; Peipei Jiang 002; Qian Wang 002; Sherman S. M. Chow; Lingchen Zhao (IEEE Trans. Dependable Secur. Comput., 2023)

AdvDDoS: Zero-Query Adversarial Attacks Against Commercial Speech Recognition Systems. - Yunjie Ge; Lingchen Zhao; Qian Wang 002; Yiheng Duan; Minxin Du (IEEE Trans. Inf. Forensics Secur., 2023)

Machine Unlearning of Pre-trained Large Language Models. - Jin Yao; Eli Chien; Minxin Du; Xinyao Niu; Tianhao Wang 001; Zezhou Cheng; Xiang Yue (ACL (1), 2024)

FastTextDodger: Decision-Based Adversarial Attack Against Black-Box NLP Models With Extremely High Efficiency. - Xiaoxue Hu; Geling Liu; Baolin Zheng; Lingchen Zhao; Qian Wang 002; Yufei Zhang; Minxin Du (IEEE Trans. Inf. Forensics Secur., 2024)

Stealthy and Effective Physical Adversarial Attacks in Autonomous Driving. - Man Zhou; Wenyu Zhou; Jie Huang; Junhui Yang; Minxin Du; Qi Li 002 (IEEE Trans. Inf. Forensics Secur., 2024)

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models. - Xiaoyu Xu; Minxin Du; Qingqing Ye 001; Haibo Hu 001 (CoRR, 2025)

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding. - Peihua Mai; Youlong Ding; Ziyan Lyu; Minxin Du; Yan Pang (CoRR, 2025)

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs. - Xiaoyu Xu; Xiang Yue; Yang Liu 165; Qingqing Ye 001; Haibo Hu 001; Minxin Du (CoRR, 2025)

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning. - Maggie Huan; Yuetai Li; Tuney Zheng; Xiaoyu Xu; Seungone Kim; Minxin Du; Radha Poovendran; Graham Neubig; Xiang Yue (CoRR, 2025)