9 citations · 38 across the 15 of their papers we have counts for
4 papers · 1 filter
Removing Spurious Correlation from Neural Network Interpretations
Milad Fotouhi, Mohammad Taha Bahadori, Oluwaseyi Feyisetan +2
The existing algorithms for identification of neurons responsible for undesired and harmful behaviors do not consider the effects of confounders such as topic of the conversation.…
Fast Training Dataset Attribution via In-Context Learning
Milad Fotouhi, Mohammad Taha Bahadori, Oluwaseyi Feyisetan +2
We investigate the use of in-context learning and prompt engineering to estimate the contributions of training data in the outputs of instruction-tuned large language models (LLMs)…
On a Utilitarian Approach to Privacy Preserving Text Generation
Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan +1
Differentially-private mechanisms for text generation typically add carefully calibrated noise to input words and use the nearest neighbor to the noised input as the output word. W…
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric
Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan +1
Balancing the privacy-utility tradeoff is a crucial requirement of many practical machine learning systems that deal with sensitive customer data. A popular approach for privacy-pr…