Since its introduction by Wagner (CRYPTO `02), the $k$-list algorithm has found significant utility in cryptanalysis. One important application thereof is in computing forgeries on several interactive signature schemes that implicitly rely on the hardness of the ROS problem formulated by Schnorr (ICICS `01). The current best attack strategy for these schemes relies the conjectured runtime of the $k$-list algorithm over $\mathbb{Z}_p$. The tightest known analysis of Wagner's algorithm over...

With the advancement of NIST PQC standardization, three of the four candidates in Round 4 are code-based schemes, namely Classic McEliece, HQC and BIKE. Currently, one of the most important tasks is to further analyze their security levels for the suggested parameter sets. At PKC 2022 Esser and Bellini restated the major information set decoding (ISD) algorithms by using nearest neighbor search and then applied these ISD algorithms to estimate the bit security of Classic McEliece, HQC and...

Firekite is a synchronous stream cipher using a pseudo-random number generator (PRNG) whose security relies on the hardness of the \textit{Learning Parity with Noise} (LPN) problem. It is one of a few LPN-based symmetric encryption schemes and it can be very efficiently implemented on a low-end SoC FPGA. The designers, Bogos, Korolija, Locher, and Vaudenay, demonstrated appealing properties of Firekite such as requiring only one source of cryptographically strong bits, small key size, high...

The Shortest Vector Problem (SVP) is one of the mathematical foundations of lattice based cryptography. Lattice sieve algorithms are amongst the foremost methods of solving SVP. The asymptotically fastest known classical and quantum sieves solve SVP in a \(d\)-dimensional lattice in \(2^{cd + o(d)}\) time steps with \(2^{c'd + o(d)}\) memory for constants \(c, c'\). In this work, we give various quantum sieving algorithms that trade computational steps for memory. We first give a quantum...

The k-xor or Generalized Birthday Problem aims at finding, given k lists of bit-strings, a k-tuple among them XORing to 0. If the lists are unbounded, the best classical (exponential) time complexity has withstood since Wagner's CRYPTO 2002 paper. If the lists are bounded (of the same size) and such that there is a single solution, the dissection algorithms of Dinur et al. (CRYPTO 2012) improve the memory usage over a simple meet-in-the-middle. In this paper, we study quantum algorithms for...

We study a generalization of the $k$-list problem, also known as the Generalized Birthday problem. In the $k$-list problem, one starts with $k$ lists of binary vectors and has to find a set of vectors -- one from each list -- that sum to the all-zero target vector. In our generalized {\em Approximate $k$-list problem}, one has to find a set of vectors that sum to a vector of small Hamming weight $\omega$. Thus, we relax the condition on the target vector and allow for some error...

We present an algorithm for the approximate $k$-List problem for the Euclidean distance that improves upon the Bai-Laarhoven-Stehle (BLS) algorithm from ANTS'16. The improvement stems from the observation that almost all the solutions to the approximate $k$-List problem form a particular configuration in $n$-dimensional space. Due to special properties of configurations, it is much easier to verify whether a $k$-tuple forms a configuration rather than checking whether it gives a solution to...

We study two open problems proposed by Wagner in his seminal work on the generalized birthday problem. First, with the use of multicollisions, we improve Wagner's $3$-tree algorithm. The new 3-tree only slightly outperforms Wagner's 3-tree, however, in some applications this suffices, and as a proof of concept, we apply the new algorithm to slightly reduce the security of two CAESAR proposals. Next, with the use of multiple collisions based on Hellman's table, we give improvements to the...