Estimate the vulnerability of training samples to membership inference attacks by analyzing their loss traces during model training - no shadow models required!

State-of-the-art membership inference attacks (MIAs) typically require training many reference models, making it difficult to scale these attacks to large pre-trained language models (LLMs). As a resu...

The Computational Privacy Group at Imperial College London is organizing the first Machine Learning Privacy meetup, recognizing the growing community of researchers in and around London working at the...