Unverified60% confidenceFactExact time
Backdoor attacks plant triggers in training data, causing the model to behave normally on regular inputs but produce preset malicious outputs when specific trigger words are encountered.
2
Sources
60%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
Related Claims
UnverifiedSecret trigger words are essentially a variant of backdoor attacks, in which hidden associations are implanted in the model during training or deployment, and the model's behavior is hijacked when the input contains a specific pattern.79% similarVerified提示注入是一种针对大语言模型的攻击手法，攻击者通过在模型输入数据中嵌入恶意指令劫持模型的正常行为76% similarUnverifiedSensitive information from training data can be extracted by reverse-engineering model weights, which is known as a model inversion attack.75% similarUnverifiedModel behavior is shaped jointly by training data, prompts, context, and external tool calls, and contamination or misuse of any one link can lead to harmful output, leakage of sensitive information, or unauthorized operations.74% similarUnverifiedAfter alignment training eliminates a certain type of harmful output, the model may learn more subtle ways of expression.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/501426API
curl https://kongchang.com/api/v1/knowledge/claims/501426MCP
get_claim(id=501426)