[论文学习]SOFT:选择性数据混淆——保护LLM微调免受成员推理攻击深度解读
SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks (K. Zhang et al., USENIX Security 2025)
摘要
大型语言模型(LLM)的微调往往涉及私有或敏感数据,带来严重的隐私洩露风险。SOFT&am…
2026/7/2 1:25:30