Research map / Large language models / Language, safety and interpretability
Detecting Asks in Social Engineering Attacks: Impact of Linguistic and Structural Knowledge
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace thesaurus with original LCS classes (ablation) | ask detection · Ask | F-measure: 0.072 -> 0.157 | Helped |
| replace thesaurus with original LCS classes (ablation) | framing detection · Framing | F-measure: 0.305 -> 0.424 | Helped |
| replace thesaurus with original LCS classes (ablation) | top ask detection · TopAsk | F-measure: 0.094 -> 0.250 | Helped |
| expand LCS classes to LCS+ (ablation) | ask detection · Ask | F-measure: 0.157 -> 0.482 | Helped |
| expand LCS classes to LCS+ (ablation) | framing detection · Framing | F-measure: 0.424 -> 0.600 | Helped |
| expand LCS classes to LCS+ (ablation) | top ask detection · TopAsk | F-measure: 0.250 -> 0.329 | Helped |
| add verbal processing to LCS+ (ablation) | ask detection · Ask | precision: 0.500 -> 0.659 | Helped |
| add verbal processing to LCS+ (ablation) | ask detection · Ask | F-measure: 0.482 -> 0.496 | Helped |
| add verbal processing to LCS+ (ablation) | framing detection · Framing | F-measure: 0.600 -> 0.600 | No clear effect |
| add CATVAR (ablation) | ask detection · Ask | F-measure: 0.496 -> 0.508 | Helped |
| add CATVAR (ablation) | top ask detection · TopAsk | F-measure: 0.333 -> 0.333 | No clear effect |
| add basic link processing (ablation) | top ask detection · TopAsk | F-measure: 0.333 -> 0.436 | Helped |
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