Showing 2024Show all
3 papers · 1 filter
cs.CR2024
Inference Privacy: Properties and Mechanisms
Fengwei Tian, Ravi Tandon
Ensuring privacy during inference stage is crucial to prevent malicious third parties from reconstructing users' private inputs from outputs of public models. Despite a large body…
cs.CR2024
Correction to Local Information Privacy and Its Applications to Data Aggregation
Bo Jiang, Ming Li, Ravi Tandon
In our previous works, we defined Local Information Privacy (LIP) as a context-aware privacy notion and presented the corresponding privacy-preserving mechanism. Then we claim that…
cs.CR2024
CURATE: Scaling-up Differentially Private Causal Graph Discovery
Payel Bhattacharjee, Ravi Tandon
Causal Graph Discovery (CGD) is the process of estimating the underlying probabilistic graphical model that represents joint distribution of features of a dataset. CGD-algorithms a…