research
∙
05/24/2020
Continuous Release of Data Streams under both Centralized and Local Differential Privacy
In this paper, we study the problem of publishing a stream of real-value...
share
research
∙
12/07/2018
Reaching Data Confidentiality and Model Accountability on the CalTrain
Distributed collaborative learning (DCL) paradigms enable building joint...
research
∙
08/05/2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
The prediction accuracy has been the long-lasting and sole standard for ...
research
∙
07/03/2018
Securing Input Data of Deep Learning Inference Systems via Partitioned Enclave Execution
Deep learning systems have been widely deployed as backend engines of ar...
research
∙
05/31/2018
Defending Against Model Stealing Attacks Using Deceptive Perturbations
Machine learning models are vulnerable to simple model stealing attacks ...
research
∙
01/31/2018