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papersTODAY 04:00 UTC

New benchmark tests multi-turn prompt injection attacks on LLM agents

Researchers released a 21-scenario benchmark for evaluating how well LLM agents resist adaptive, cross-session attacks from an autonomous LLM attacker. The setup pits an attacking model against defenders that start each session fresh, targeting prompt injection and multi-turn manipulation risks. The work appears on arXiv as a cross-listing in cs.AI and cs.LG.

arXiv LLM agents cs.AI cs.LG multi-turn manipulation prompt-injection

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AIAdaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security ↗TODAY 04:00 UTC

arXiv cs.LGAdaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security ↗TODAY 04:00 UTC