Multiplicative complexity is a complexity measure defined as the minimum number of AND gates required to implement a given primitive by a circuit over the basis (AND, XOR, NOT). Implementations of ciphers with a small number of AND gates are preferred in protocols for fully homomorphic encryption, multi-party computation and zero-knowledge proofs. In 2002, Fischer and Peralta showed that the number of $n$-variable Boolean functions with multiplicative complexity one equals $2\binom{2^n}{3}$. In this paper, we study Boolean functions with multiplicative complexity 2. By characterizing the structure of these functions in terms of affine equivalence relations, we provide a closed form formula for the number of Boolean functions with multiplica...
We prove a lower bound of 4.5n - o(n) for the circuit complexity of an explicit Boolean function (th...
AbstractIn this paper we investigate the combinational complexity of Boolean functions satisfying a ...
This paper describes a purely functional library for computing level-$p$-complexity of Boolean funct...
Abstract. Multiplicative complexity is a complexity measure defined as the minimum number of AND gat...
The multiplicative complexity of a Boolean function is the minimum number of AND gates that are nece...
A generic way to design lightweight cryptographic primitives is to construct simple rounds using sma...
AbstractThe multiplicative complexity c∧(f) of a Boolean function f is the minimum number of AND gat...
AbstractThe multiplicative complexity of a Boolean function f is defined as the minimum number of bi...
AbstractLet the multiplicative complexity L(f) of a boolean function f be the minimal number of ∧-ga...
The multiplicative complexity of a Boolean function is the minimum number of AND gates (i.e., multip...
The multiplicative complexity of a Boolean function is the minimum number of AND gates (i.e., multip...
Communication complexity of two-party (multiparty) protocols has established itself as a successfu...
From 12.03.06 to 17.03.06, the Dagstuhl Seminar 06111 ``Complexity of Boolean Functions\u27\u27 was ...
Abstract. We prove a lower bound of 5n − o(n) for the circuit complexity of an explicit (constructib...
We study the realization of monotone Boolean functions by networks. Our main result is a precise ver...
We prove a lower bound of 4.5n - o(n) for the circuit complexity of an explicit Boolean function (th...
AbstractIn this paper we investigate the combinational complexity of Boolean functions satisfying a ...
This paper describes a purely functional library for computing level-$p$-complexity of Boolean funct...
Abstract. Multiplicative complexity is a complexity measure defined as the minimum number of AND gat...
The multiplicative complexity of a Boolean function is the minimum number of AND gates that are nece...
A generic way to design lightweight cryptographic primitives is to construct simple rounds using sma...
AbstractThe multiplicative complexity c∧(f) of a Boolean function f is the minimum number of AND gat...
AbstractThe multiplicative complexity of a Boolean function f is defined as the minimum number of bi...
AbstractLet the multiplicative complexity L(f) of a boolean function f be the minimal number of ∧-ga...
The multiplicative complexity of a Boolean function is the minimum number of AND gates (i.e., multip...
The multiplicative complexity of a Boolean function is the minimum number of AND gates (i.e., multip...
Communication complexity of two-party (multiparty) protocols has established itself as a successfu...
From 12.03.06 to 17.03.06, the Dagstuhl Seminar 06111 ``Complexity of Boolean Functions\u27\u27 was ...
Abstract. We prove a lower bound of 5n − o(n) for the circuit complexity of an explicit (constructib...
We study the realization of monotone Boolean functions by networks. Our main result is a precise ver...
We prove a lower bound of 4.5n - o(n) for the circuit complexity of an explicit Boolean function (th...
AbstractIn this paper we investigate the combinational complexity of Boolean functions satisfying a ...
This paper describes a purely functional library for computing level-$p$-complexity of Boolean funct...