JetBrains Research
Research is crucial for progress and innovation, which is why at JetBrains we are passionate about both scientific and market research
Research
It is a well-known problem by now that training LLMs on sensitive data raises serious privacy concerns. In a recent blog post, we talked about membership inference attacks and our research on mitigating them.
At JetBrains Research, we are deeply concerned about user privacy and continually developing new methods and tools to improve privacy protection. In this post, we present DPTrainer, a new library we’ve developed and now open-sourced. DPTrainer smoothly integrates Opacus and Hugging Face Trainer so that you can train privacy-preserving models without rewriting training loops or modifying trainer source code.
