Unverified50% confidenceTradeoffExact time
基于关键词的输入过滤面临对抗性规避挑战，攻击者可使用同义词替换、语言切换或编码混淆绕过，更健壮的方案是使用独立训练的意图分类模型
1
Sources
50%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
UnverifiedJailbreaking bypasses safety filters through carefully crafted prompts (such as role-playing, multi-step inducement, and language obfuscation)74% similarUnverified自然语言作为攻击载体使得攻击样本几乎无法被签名检测，每次攻击可用不同措辞表达相同恶意意图67% similarUnverified自然语言约束方案面临LLM对约束解读与人类意图一致性、以及Prompt Injection攻击绕过约束的挑战65% similarUnverifiedTraditional n-gram models and neural language models trained on a single language assign extremely low probability scores to cross-lingual word sequences, causing the decoder to tend to forcibly map foreign-language words to phonetically similar words in the target language.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/573777API
curl https://kongchang.com/api/v1/knowledge/claims/573777MCP
get_claim(id=573777)