most citedThe Role of User-Agent Interactions on Mobile Money Practices in Kenya and Tanzania

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2024

Statistic Maximal Leakage

Shuaiqi Wang, Zinan Lin, Giulia Fanti

We introduce a privacy measure called statistic maximal leakage that quantifies how much a privacy mechanism leaks about a specific secret, relative to the adversary's prior inform…

cs.CR2024

Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown

Aadyaa Maddi, Swadhin Routray, Alexander Goldberg +1

Differential privacy (DP) is increasingly used to protect the release of hierarchical, tabular population data, such as census data. A common approach for implementing DP in this s…

cs.HC20231 cited

User Experiences with Third-Party SIM Cards and ID Registration in Kenya and Tanzania

Edith Luhanga, Karen Sowon, Lorrie Faith Cranor +3

Mobile money services in Sub-Saharan Africa (SSA) have increased access to financial services. To ensure proper identification of users, countries have put in place Know-Your-Custo…

cs.HC20232 cited

The Role of User-Agent Interactions on Mobile Money Practices in Kenya and Tanzania

Karen Sowon, Edith Luhanga, Lorrie Faith Cranor +3

Digital financial services have catalyzed financial inclusion in Africa. Commonly implemented as a mobile wallet service referred to as mobile money (MoMo), the technology provides…

cs.LG20231 cited

Privately Customizing Prefinetuning to Better Match User Data in Federated Learning

Charlie Hou, Hongyuan Zhan, Akshat Shrivastava +4

In Federated Learning (FL), accessing private client data incurs communication and privacy costs. As a result, FL deployments commonly prefinetune pretrained foundation models on a…