Yunhui Long

Orcid: 0009-0007-2603-5550

According to our database1, Yunhui Long authored at least 19 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SoK: Privacy-Preserving Data Synthesis.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

2023
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks.
CoRR, 2022

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions.
CoRR, 2022

LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
Understanding and mitigating privacy risk in machine learning systems
PhD thesis, 2020

A Pragmatic Approach to Membership Inferences on Machine Learning Models.
Proceedings of the IEEE European Symposium on Security and Privacy, 2020

A Hypothesis Testing Approach to Sharing Logs with Confidence.
Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020

2019
Scalable Differentially Private Generative Student Model via PATE.
CoRR, 2019

Secure Two-Party Feature Selection.
CoRR, 2019

BEEER: distributed record and replay for medical devices in hospital operating rooms.
Proceedings of the 6th Annual Symposium on Hot Topics in the Science of Security, 2019

2018
Distributed and Secure ML with Self-tallying Multi-party Aggregation.
CoRR, 2018

Understanding Membership Inferences on Well-Generalized Learning Models.
CoRR, 2018

CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition.
Proceedings of the 27th USENIX Security Symposium, 2018

2017
Towards Measuring Membership Privacy.
CoRR, 2017

2013
A fast polarimeter calibration method using vector projection algorithm.
Proceedings of the 6th IEEE International Conference on Advanced Infocomm Technology, 2013


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