4 citations · 4 across the 5 of their papers we have counts for
5 papers
Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning
Michael Khavkin, Kichang Lee, Jaeho Jin +2
Federated Learning (FL) with Differential Privacy (DP) is increasingly adopted to preserve data confidentiality in distributed machine learning. However, DP noise distorts learned…
Shelving it rather than Ditching it: Dynamically Debloating DEX and Native Methods of Android Applications without APK Modification
Zicheng Zhang, Jiakun Liu, Ferdian Thung +10
Today's Android developers tend to include numerous features to accommodate diverse user requirements, which inevitably leads to bloated apps. Yet more often than not, only a fract…
Neighborhood Disparities in Smart City Service Adoption
Shahaf Donio, Eran Toch
While local governments have invested heavily in smart city infrastructure, significant disparities in adopting these services remain in urban areas. The success of many user-facin…
Improving Users' Passwords with DPAR: a Data-driven Password Recommendation System
Assaf Morag, Liron David, Eran Toch +1
Passwords are the primary authentication method online, but even with password policies and meters, users still find it hard to create strong and memorable passwords. In this paper…
How mass surveillance can crowd out installations of COVID-19 contact tracing apps
Eran Toch, Oshrat Ayalon
During the COVID-19 pandemic, many countries have developed and deployed contact tracing technologies to curb the spread of the disease by locating and isolating people who have be…