Legacy encryption systems depend on sharing a key (public or private) among the peers
involved in exchanging an encrypted message. However, this approach poses privacy …

The Number Theoretic Transform (NTT) is a powerful mathematical tool that has become
increasingly important in develo** Post Quantum Cryptography (PQC) and Homomorphic …

Private Set Intersection (PSI) is a cryptographic technique that allows two parties to compute
the intersection of their sets without revealing anything except the intersection. We use fully …

Achieving fully homomorphic encryption was a longstanding open problem in cryptography
until it was resolved by Gentry in 2009. Soon after, several homomorphic encryption …

Homomorphic encryption (HE)---the ability to perform computation on encrypted data---is an
attractive remedy to increasing concerns about data privacy in deep learning (DL). However …

We present novel variants of the dual-lattice attack against LWE in the presence of an
unusually short secret. These variants are informed by recent progress in BKW-style …

Homomorphic encryption is an emerging form of encryption that provides the ability to
compute on encrypted data without ever decrypting them. Potential applications include …

Trigger-Action platforms are web-based systems that enable users to create automation
rules by stitching together online services representing digital and physical resources using …

Bootstrap** is a crucial operation in Gentry's breakthrough work on fully homomorphic
encryption (FHE), where a homomorphic encryption scheme evaluates its own decryption …

Biological data science is an emerging field facing multiple challenges for hosting, sharing,
computing on, and interacting with large data sets. Privacy regulations and concerns about …