Minxin Du

Orcid: 0000-0001-6620-6923

According to our database1, Minxin Du authored at least 24 papers between 2015 and 2024.

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Bibliography

2024
FastTextDodger: Decision-Based Adversarial Attack Against Black-Box NLP Models With Extremely High Efficiency.
IEEE Trans. Inf. Forensics Secur., 2024

Machine Unlearning of Pre-trained Large Language Models.
CoRR, 2024

2023
AdvDDoS: Zero-Query Adversarial Attacks Against Commercial Speech Recognition Systems.
IEEE Trans. Inf. Forensics Secur., 2023

Shielding Graph for eXact Analytics With SGX.
IEEE Trans. Dependable Secur. Comput., 2023

Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy.
Proceedings of the ACM Web Conference 2023, 2023

DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Cryptography-Inspired Federated Learning for Generative Adversarial Networks and Meta Learning.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
GraphShield: Dynamic Large Graphs for Secure Queries With Forward Privacy.
IEEE Trans. Knowl. Data Eng., 2022

Encrypted video search: scalable, modular, and content-similar.
Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

2021
Secure Prediction of Neural Network in the Cloud.
IEEE Netw., 2021

Differential Privacy for Text Analytics via Natural Text Sanitization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions.
CoRR, 2020

Stargazing in the Dark: Secure Skyline Queries with SGX.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
ARMOR: A Secure Combinatorial Auction for Heterogeneous Spectrum.
IEEE Trans. Mob. Comput., 2019

VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service.
CoRR, 2019

2018
Privacy-Preserving Collaborative Model Learning: The Case of Word Vector Training.
IEEE Trans. Knowl. Data Eng., 2018

Outsourced Biometric Identification With Privacy.
IEEE Trans. Inf. Forensics Secur., 2018

Privacy-Preserving Indexing and Query Processing for Secure Dynamic Cloud Storage.
IEEE Trans. Inf. Forensics Secur., 2018

Searchable Encryption over Feature-Rich Data.
IEEE Trans. Dependable Secur. Comput., 2018

InstantCryptoGram: Secure Image Retrieval Service.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017
Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

SecGDB: Graph Encryption for Exact Shortest Distance Queries with Efficient Updates.
Proceedings of the Financial Cryptography and Data Security, 2017

2016
Catch me in the dark: Effective privacy-preserving outsourcing of feature extractions over image data.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

2015
CloudBI: Practical Privacy-Preserving Outsourcing of Biometric Identification in the Cloud.
Proceedings of the Computer Security - ESORICS 2015, 2015


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