Adversarial mutation
Mechanically generating fresh variants of known attacks along defined transformation axes — synonym and voice swaps, encodings, homoglyphs, letter-spacing, embedding the directive in a code comment or JSON blob, persona recombinations — to test generalisation rather than memory. Validity is the hard part: a transformation that garbles the payload into nonsense is a broken sample, not a missed detection, so every mutation has to be invertible and round-tripped back to the original before it is allowed to be scored.
See also overfitting · h4rm3l · AutoDAN
Related terms
-
Overfitting
Testing & measurement
Fitting the examples instead of the phenomenon. In detection work it usually looks like a rule matched to the exact phrasings in the corpus — a pattern…
-
h4rm3l
Attack families
A family built around composable string transformations: a small language of primitives — character substitution, insertion, role framing, encoding — that…
-
AutoDAN
Attack families
The automated successor to DAN: instead of a human writing the persona prompt, a search process — typically a genetic algorithm or gradient-guided…
Testing & measurement
The words that decide whether a published detection number is evidence or decoration. Most vendor numbers in this space are quoted without any of them; see how we test for how these are applied in practice.