Unverified50% confidenceFactExact time
The paper explicitly points out that a defense relying solely on obfuscating vector order can be reversed by a learning model of moderate scale.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedFor tasks like reverse engineering that emphasize depth of reasoning rather than creative divergence, quantized models can maintain analysis quality close to the original.69% similarUnverifiedThe paper recommends that sufficiently strong retrieval and reranking baselines must be established as controls before introducing complex learned selection mechanisms.68% similarUnverified同样的模型只改几句提示词，回答效果可能天壤之别，提示词设计本质上是持续测试、不断调整、反复优化的循环68% similarUnverifiedThe behavior of adversarial examples interfering with decision logic has precedents in traditional machine learning research.68% similarUnverified大模型能在逆向环节表现出色，根本原因在于预训练对海量人类编写代码进行统计建模，具备识别代码模式而非仅字面的能力67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1014382API
curl https://kongchang.com/api/v1/knowledge/claims/1014382MCP
get_claim(id=1014382)