Tianxi Ji

Orcid: 0000-0002-9083-5452

According to our database1, Tianxi Ji authored at least 27 papers between 2015 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Towards Robust Fingerprinting of Relational Databases by Mitigating Correlation Attacks.
IEEE Trans. Dependable Secur. Comput., 2023

Less is More: Revisiting Gaussian Mechanism for Differential Privacy.
CoRR, 2023

Privacy-Preserving Database Fingerprinting.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Continuous Authentication Using Human-Induced Electric Potential.
Proceedings of the Annual Computer Security Applications Conference, 2023

2022
Energy-Efficient Computation Offloading in Mobile Edge Computing Systems With Uncertainties.
IEEE Trans. Wirel. Commun., 2022

Differentially Private Genomic Data Release For GWAS Reproducibility.
CoRR, 2022

DP-PSI: Private and Secure Set Intersection.
CoRR, 2022

Robust Fingerprinting of Genomic Databases.
CoRR, 2022

Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties.
CoRR, 2022

Genomic Data Sharing under Dependent Local Differential Privacy.
Proceedings of the CODASPY '22: Twelveth ACM Conference on Data and Application Security and Privacy, Baltimore, MD, USA, April 24, 2022

2021
ECONOMY: Point Clouds-Based Energy-Efficient Autonomous Navigation for UAVs.
IEEE Trans. Netw. Sci. Eng., 2021

Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism.
Proc. VLDB Endow., 2021

Toward Combatting COVID-19: A Risk Assessment System.
IEEE Internet Things J., 2021

Differentially-Private Fingerprinting of Relational Databases.
CoRR, 2021

The Curse of Correlations for Robust Fingerprinting of Relational Databases.
Proceedings of the RAID '21: 24th International Symposium on Research in Attacks, 2021

Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Unsupervised Anomaly Detection in IoT Systems for Smart Cities.
IEEE Trans. Netw. Sci. Eng., 2020

Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach.
IEEE Trans. Comput. Soc. Syst., 2020

AI at the Edge: Blockchain-Empowered Secure Multiparty Learning With Heterogeneous Models.
IEEE Internet Things J., 2020

TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map.
IEEE Access, 2020

Preserving Genomic Privacy via Selective Sharing.
Proceedings of the WPES'20: Proceedings of the 19th Workshop on Privacy in the Electronic Society, 2020

2019
Quantized Adversarial Training: An Iterative Quantized Local Search Approach.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Differentially Private Community Detection in Attributed Social Networks.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Cost-Sensitive Deep Active Learning for Epileptic Seizure Detection.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2015
Energy-efficient route planning for autonomous aerial vehicles based on graph signal recovery.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015


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