QlarifyLabs
← Catalog
FuzzingEmerging

Glitch-token & unicode fuzzing

Feed anomalous tokens, rare unicode, homoglyphs and malformed encodings to trigger out-of-distribution behavior.

Published June 26, 2026

How it works

Certain under-trained tokens and unusual unicode sequences cause models to emit nonsense, ignore instructions, or bypass filters. Fuzzing the input encoding surfaces both reliability glitches and a real safety-bypass surface (homoglyph obfuscation of disallowed content).

When to use it

Robustness hardening; safety-filter evaluation; input-sanitization design.

Limitations

Findings can be version-specific and ephemeral as tokenizers change.

Cite this

Qlarify Labs. (2026). Glitch-token & unicode fuzzing. Retrieved from https://labs.qlarify.fi/catalog/glitch-token-fuzzing