LLMs exhibit 20-40% lower recall on ambiguous human names for PII detection, worsening under prompt injections, as shown via the new AmBench benchmark.
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2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CR 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
Proposes Triple-Identity Authentication by combining credentials with IMEI/IMSI and using a custom hash algorithm for decentralized verification at login and server points.
citing papers explorer
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Can Large Language Models Really Recognize Your Name?
LLMs exhibit 20-40% lower recall on ambiguous human names for PII detection, worsening under prompt injections, as shown via the new AmBench benchmark.
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Triple-Identity Authentication: The Future of Secure Access
Proposes Triple-Identity Authentication by combining credentials with IMEI/IMSI and using a custom hash algorithm for decentralized verification at login and server points.