Data privacy concerns are increasing significantly in the context of the Internet of Things,
cloud services, edge computing, artificial intelligence applications, and other applications …

Fully Homomorphic Encryption (FHE) is seeing increasing real-world deployment to protect
data in use by allowing computation over encrypted data. However, the same malleability …

Succinct non-interactive arguments of knowledge (SNARKs) enable non-interactive efficient
verification of NP computations and admit short proofs. However, all current SNARK …

Homomorphic encryption has become a practical solution for protecting the privacy of
computations on sensitive data. However, existing homomorphic encryption pipelines do not …

Multiparty fully homomorphic encryption (MFHE) schemes enable multiple parties to
efficiently compute functions on their sensitive data while retaining confidentiality. However …

Homomorphic encryption (HE) enables computation on encrypted data, which in turn
facilitates the outsourcing of computation on private data. However, HE offers no guarantee …

Homomorphic encryption, which enables the execution of arithmetic operations directly on
ciphertexts, is a promising solution for protecting privacy of cloud-delegated computations …

Cryptographic applications often require proving statements about hidden secrets satisfying
certain circuit relations. Moreover, these proofs must often be generated obliviously, ie …

Fully Homomorphic Encryption (FHE) is a prevalent cryptographic primitive that allows for
computation on encrypted data. In various cryptographic protocols, this enables outsourcing …

Privacy-preserving smart meter data collection and analysis are critical for optimizing smart
grid environments without compromising privacy. Using homomorphic encryption …