Open-source federated learning frameworks for IoT: A comparative review and analysis
The rapid development of Internet of Things (IoT) systems has led to the problem of
managing and analyzing the large volumes of data that they generate. Traditional …
managing and analyzing the large volumes of data that they generate. Traditional …
[HTML][HTML] Private set intersection: A systematic literature review
Abstract Secure Multi-party Computation (SMPC) is a family of protocols which allow some
parties to compute a function on their private inputs, obtaining the output at the end and …
parties to compute a function on their private inputs, obtaining the output at the end and …
Craterlake: a hardware accelerator for efficient unbounded computation on encrypted data
Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers
with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due …
with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due …
Feature inference attack on model predictions in vertical federated learning
Federated learning (FL) is an emerging paradigm for facilitating multiple organizations' data
collaboration without revealing their private data to each other. Recently, vertical FL, where …
collaboration without revealing their private data to each other. Recently, vertical FL, where …
A survey of COVID-19 contact tracing apps
The recent outbreak of COVID-19 has taken the world by surprise, forcing lockdowns and
straining public health care systems. COVID-19 is known to be a highly infectious virus, and …
straining public health care systems. COVID-19 is known to be a highly infectious virus, and …
Privacy preserving vertical federated learning for tree-based models
Federated learning (FL) is an emerging paradigm that enables multiple organizations to
jointly train a model without revealing their private data to each other. This paper studies {\it …
jointly train a model without revealing their private data to each other. This paper studies {\it …
Ferret: Fast extension for correlated OT with small communication
Correlated oblivious transfer (COT) is a crucial building block for secure multi-party
computation (MPC) and can be generated efficiently via OT extension. Recent works based …
computation (MPC) and can be generated efficiently via OT extension. Recent works based …
PIR with compressed queries and amortized query processing
Private information retrieval (PIR) is a key building block in many privacy-preserving
systems. Unfortunately, existing constructions remain very expensive. This paper introduces …
systems. Unfortunately, existing constructions remain very expensive. This paper introduces …
SpOT-light: lightweight private set intersection from sparse OT extension
We describe a novel approach for two-party private set intersection (PSI) with semi-honest
security. Compared to existing PSI protocols, ours has a more favorable balance between …
security. Compared to existing PSI protocols, ours has a more favorable balance between …
Private set intersection in the internet setting from lightweight oblivious PRF
We present a new protocol for two-party private set intersection (PSI) with semi-honest
security in the plain model and one-sided malicious security in the random oracle model …
security in the plain model and one-sided malicious security in the random oracle model …