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04/07/2023
Does Prompt-Tuning Language Model Ensure Privacy?
Prompt-tuning has received attention as an efficient tuning method in th...
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01/18/2023
Label Inference Attack against Split Learning under Regression Setting
As a crucial building block in vertical Federated Learning (vFL), Split ...
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07/18/2022
On Fair Classification with Mostly Private Sensitive Attributes
Machine learning models have demonstrated promising performance in many ...
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07/09/2021
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems
Widely deployed deep neural network (DNN) models have been proven to be ...
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02/07/2021
Privacy-preserving Cloud-based DNN Inference
Deep learning as a service (DLaaS) has been intensively studied to facil...
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09/20/2020
R^2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions
Differential privacy (DP) has emerged as a de facto standard privacy not...
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04/25/2020
Privacy Preserving Distributed Energy Trading
The smart grid incentivizes distributed agents with local generation (e....
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09/18/2019
VideoDP: A Universal Platform for Video Analytics with Differential Privacy
Massive amounts of video data are ubiquitously generated in personal dev...
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11/01/2017
