Stream cipher is an important branch of symmetric cryptosystems, which takes obvious
advantages in speed and scale of hardware implementation. It is suitable for using in the …

The current standalone deep learning framework tends to result in overfitting and low utility.
This problem can be addressed by either a centralized framework that deploys a central …

We propose a new class of post-quantum digital signature schemes that:(a) derive their
security entirely from the security of symmetric-key primitives, believed to be quantum …

We explore cryptographic primitives with low multiplicative complexity. This is motivated by
recent progress in practical applications of secure multi-party computation (MPC), fully …

Designing an efficient cipher was always a delicate balance between linear and non-linear
operations. This goes back to the design of DES, and in fact all the way back to the seminal …

Motivated by new applications such as secure Multi-Party Computation (MPC), Fully
Homomorphic Encryption (FHE), and Zero-Knowledge proofs (ZK), the need for symmetric …

Efficient PRP/PRFs are instrumental to the design of cryptographic protocols. We investigate
the design of dedicated PRP/PRFs for three application areas-secure multiparty computation …

The idea of hybrid homomorphic encryption (HHE) is to drastically reduce bandwidth
requirements when using homomorphic encryption (HE) at the cost of more expensive …

The cube attack is a powerful cryptanalytic technique and is especially powerful against
stream ciphers. Since we need to analyze the complicated structure of a stream cipher in the …

A division property is a generic tool to search for integral distinguishers, and automatic tools
such as MILP or SAT/SMT allow us to evaluate the propagation efficiently. In the application …