Min Li

Orcid: 0000-0002-1259-6441

Affiliations:
  • Chongqing University, College of Computer Science, MoE Key Laboratory of Dependable Service Computing in Cyber Physical Society, China


According to our database1, Min Li authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Manipulable, reversible and diversified de-identification via face identity disentanglement.
Multim. Tools Appl., September, 2024

Prior-based privacy-assured compressed sensing scheme in cloud.
Vis. Comput., March, 2024

Cipher-image coding via 2D compressive sensing and cipher-domain mapping.
Digit. Signal Process., 2024

2023
Multilevel Privacy Preservation Scheme Based on Compressed Sensing.
IEEE Trans. Ind. Informatics, June, 2023

Invertible Privacy-Preserving Adversarial Reconstruction for Image Compressed Sensing.
Sensors, April, 2023

Privacy-Preserving Federated Compressed Learning Against Data Reconstruction Attacks Based on Secure Data.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Robust Watermarking Scheme in Encrypted Domain Based on Integer Lifting Wavelet Transform and Compressed Sensing.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Multi-level video quality services and security guarantees based on compressive sensing in sensor-cloud system.
J. Netw. Comput. Appl., 2022

Communication-Efficient and Byzantine-Robust Differentially Private Federated Learning.
IEEE Commun. Lett., 2022

Communication-Efficient and Secure Federated Learning Based on Adaptive One-Bit Compressed Sensing.
Proceedings of the Information Security - 25th International Conference, 2022

Compressed Sensing by Using Measurement Completion for Robust Image Coding.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Communication-Efficient Federated Learning Based on Chained Secure Multiparty Computing and Compressed Sensing.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Privacy-Assured and Multi-Prior Recovered Compressed Sensing for Image Compression-Encryption Applications.
Proceedings of the Data Compression Conference, 2022

2020
Smart Privacy Protection for Big Video Data Storage Based on Hierarchical Edge Computing.
Sensors, 2020

Low-cost and high-efficiency privacy-protection scheme for distributed compressive video sensing in wireless multimedia sensor networks.
J. Netw. Comput. Appl., 2020

2019
A visually secure image encryption scheme based on parallel compressive sensing.
Signal Process., 2019


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