Synthetic Linear Analysis: Improved Attacks on CubeHash and Rabbit

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Synthetic Linear Analysis: Improved Attacks on CubeHash and Rabbit

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It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

Exploiting the Signal-Leak Bias in Diffusion Models

Near Collision Attack Against Grain V1

PAE: Towards More Efficient and BBB-Secure AE from a Single Public Permutation

Timing and spatial selection bias in rapid extreme event attribution

Green Cryptography and Other Optimisations

BBB security for 5-round even-Mansour-based key-alternating Feistel ciphers

How Words Move Hearts: Interpretable Machine Learning Models of Bias, Engagement, and Influence in Socio-Political Systems

Stronger serial dependence in the depth plane than the fronto-parallel plane between realistic objects: Evidence from virtual reality

Security in the Presence of Quantum Adversaries

Bridging the gap between theoretical and practical privacy technologies for at-risk populations

Perturbation theory models for LSST-era galaxy clustering: Tests with subpercent mock catalog measurements in Fourier and configuration space

Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition

Orthros: A Low-Latency PRF

Atom: A Stream Cipher with Double Key Filter

Serial Lightweight Implementation Techniques for Block Ciphers

How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19

A Deeper Look at the Energy Consumption of Lightweight Block Ciphers

Efficient Bootstrapping for Approximate Homomorphic Encryption with Non-sparse Keys

Advances in Bias-aware Recommendation on the Web