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We consider the problem of outsourcing computation on data authenticated by different users. Our aim is to describe and implement the simplest possible solution to provide data integrity in cloud-base...
Decision tree and its generalization of random forests are a simple yet powerful machine learning model for many classification and regression problems. Recent works propose how to privately evaluate ...
Homomorphic Encryption (HE) is a cryptosystem which supports computation on encrypted data. López-Alt et al. (STOC 2012) proposed a generalized notion of HE, called Multi-Key Homomorphic Encryption (M...
In this paper, we propose a Multi-Key Homomorphic Encryption (MKHE) which allows homomorphic evaluation of a binary gate (with bootstrapping) on ciphertexts encrypted under different keys. We generali...
Multi-key fully homomorphic encryption (MKFHE) allows computations on ciphertexts encrypted by different users (public keys), and the results can be jointly decrypted using the secret keys of all the ...
Multi-Key Full Homomorphic Encryption scheme (MKFHE) can perform arbitrary operation on encrypted data under different public keys (users), and the final ciphertext can be jointly decrypted. Therefore...
Demanding computations are increasingly outsourced to cloud platforms. For such outsourced computations, the efficient verifiability of results is a crucial requirement. When sensitive data is involve...
Multi-Key Homomorphic Signatures (MKHS) enable clients in a system to sign and upload messages to an untrusted server. At any later point in time, the server can perform a computation CC on data provi...
Fully homomorphic encryption (FHE) is a powerful notion of encryption which allows data to be encrypted in such a way that anyone can perform arbitrary computations over the encrypted data without dec...
We consider a setting where users store their encrypted documents on a remote server and can selectively share documents with each other. A user should be able to perform keyword searches over all the...
Traditional fully homomorphic encryption (FHE) schemes support computation on data encrypted under a single key. In STOC 2012, López-Alt et al. introduced the notion of multi-key FHE (MKFHE), which al...
We study the security of symmetric encryption schemes in settings with multiple users and realistic adversaries who can adaptively corrupt encryption keys. To avoid confinement to any particular defin...
Secure channel protocols protect data transmission over a network from being overheard or tampered with. In the common abstraction, cryptographic models for channels involve a single key for ensuring ...
The multi-key, or multi-user, setting challenges cryptographic algorithms to maintain high levels of security when used with many different keys, by many different users. Its significance lies in the ...
Multi-key fully homomorphic encryption (MFHE) schemes allow polynomially many users without trusted setup assumptions to send their data (encrypted under different FHE keys chosen by users independent...

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