paper
Prompt Injection in Automated Résumé Screening with Large Language Models: Single and Multi-Injection Settings
paperactiveprovisional
prompt-injection-in-automated-r-sum-screening-with-large-language-models-single-and-multi-injection-settings-d060bac3·1 events·first seen 7d agoAliases: Prompt Injection in Automated Résumé Screening with Large Language Models: Single and Multi-Injection Settings
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Recent events (1)
Prompt injection attacks on LLM-based résumé screening: effectiveness and fairness implications
A new arXiv paper studies prompt injection in automated résumé screening, where candidates embed subtle self-promotional text to manipulate LLM rankings without adding genuine qualifications. Controlled experiments show injection reliably boosts rankings when manipulation is rare and candidate quality is homogeneous, but effectiveness collapses as adoption spreads. The work raises fairness concerns because lower-quality candidates can occasionally outrank higher-quality ones, and identifies conditions under which LLM-based hiring systems are most vulnerable.