Jackson Wang
1 indexed paper
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126
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Crypto×1
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2026
AttackEval: A Systematic Empirical Study of Prompt Injection Attack Effectiveness Against Large Language Models
AttackEval systematically evaluates the effectiveness of 250 prompt injection prompts across ten attack categories, finding that composite and obfuscation attacks are highly effective against current LLM defenses.
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