86 citations · 201 across the 19 of their papers we have counts for
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cs.LG2023
Unintended Memorization in Large ASR Models, and How to Mitigate It
Lun Wang, Om Thakkar, Rajiv Mathews
It is well-known that neural networks can unintentionally memorize their training examples, causing privacy concerns. However, auditing memorization in large non-auto-regressive au…
cs.LG2023★ 2 cited
Why Is Public Pretraining Necessary for Private Model Training?
Arun Ganesh, Mahdi Haghifam, Milad Nasr +5
In the privacy-utility tradeoff of a model trained on benchmark language and vision tasks, remarkable improvements have been widely reported with the use of pretraining on publicly…