What AI says about SOFT

SOFT is a defense technique that protects large language models from membership inference attacks during fine-tuning by selectively obfuscating influential training samples. It replaces vulnerable data with paraphrased alternatives to balance privacy protection and model utility, as demonstrated in a USENIX Security'25 paper from Purdue University and Cisco Research.