Exploiting ML-DSA bugs [pdf]
type: NewsArticle
description: Researchers have identified exploitable vulnerabilities in the ML-DSA (Module-Lattice-Based Digital Signature Algorithm) implementation, as detailed in a newly released technical paper. The findings highlight security flaws that could allow attackers to compromise the cryptographic scheme, which is a key component in post-quantum cryptography standards. These bugs pose significant risks to systems relying on ML-DSA for secure digital signatures.
date published: 2026-06-06 00:49:55+00:00
date modified: 2026-06-06 01:17:10.069059+00:00
language: en
is accessible for free: true
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publisher: Web Pulse
keywords: machine-learning, ai-safety, ai-research
mentions: ML-DSA
citation: CreativeWork