Power Adjusting Games Under Block-Dependent Pool Payout Schemes
Advanced power adjusting block withholding attacks such as PAW and T-PAW have been analyzed so far under a global-reset
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← 返回所有主题Advanced power adjusting block withholding attacks such as PAW and T-PAW have been analyzed so far under a global-reset
Local Coordinate-wise Linear (LCL) properties, introduced by Levi, Mosheiff, and Shagrithaya (2025), capture coding-theo
In a membership inference attack, an attacker is given the data of a particular individual, and tries to determine if th
In federated learning (FL), secure aggregation enables a server to compute the sum of local model updates of $N$ clients
Fix a prime power q. We prove that deciding whether a received word y in Fnqm lies at rank distance at most n-2 from the
Permissioned blockchains authenticate transactions, votes and quorum certificates with computationally secure signatures
Homomorphic encryption enables computation on input data without decrypting it. This paper extends a construction based
Neural receivers for 5G New Radio (NR) match classical model-based receivers in link-level performance, but their robust
A quantum computer could recover the key of any Ethereum account whose public key appears on chain. We prove that no sid
Existing approaches to differential privacy in diffusion models rely on loose sensitivity bounds and isotropic Gaussian
At CRYPTO 2007, Damgård and Nielsen introduced a preprocessing approach to multi-party computation (MPC) to achieve line
We revisit DM-RSA, an RSA variant that uses two independent moduli, whose original version was broken by Håstad's attack
Secure aggregation enables a server to compute the sum of users' gradients or model updates without revealing individual
We study differentially private black-box evaluation of arbitrary high-dimensional functions. Given a dataset $S$ and qu
Let $m\ge5$ be odd and $q=2^m$. For every odd $r$ with $3\le r<m$ and $\gcd(r,m)=1$ we give the reduced polynomial $P_{m
The formal derivative of the reduced polynomial representative of a map on a binary finite field depends on the coordina
We propose a general framework for non-interactive locally differentially private (LDP) learning of structured univariat
Bilinear Compressive Security (BCS) is a lightweight encryption scheme that combines compressed sensing with a fresh ran
Shannon entropy is a standard measure of ciphertext randomness, evaluated either globally over the byte histogram of the
Modern attack surfaces are inherently dynamic. Vulnerabilities emerge over time and they remain exposed to exploit until