2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching
Cangxiong Chen, Neill D. F. Campbell
Recent works have demonstrated that it is possible to reconstruct training images and their labels from gradients of an image-classification model when its architecture is known. U…
stat.ML2021★ 2 cited
Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification
Cangxiong Chen, Neill D. F. Campbell
Federated learning of deep learning models for supervised tasks, e.g. image classification and segmentation, has found many applications: for example in human-in-the-loop tasks suc…