322 citations · 945 across the 33 of their papers we have counts for
3 papers · 1 filter
Mistral 7B
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch +15
We introduce Mistral 7B v0.1, a 7-billion-parameter language model engineered for superior performance and efficiency. Mistral 7B outperforms Llama 2 13B across all evaluated bench…
Privately generating tabular data using language models
Alexandre Sablayrolles, Yue Wang, Brian Karrer
Privately generating synthetic data from a table is an important brick of a privacy-first world. We propose and investigate a simple approach of treating each row in a table as a s…
Evaluating Privacy Leakage in Split Learning
Xinchi Qiu, Ilias Leontiadis, Luca Melis +2
Privacy-Preserving machine learning (PPML) can help us train and deploy models that utilize private information. In particular, on-device machine learning allows us to avoid sharin…