137 citations · 144 across the 8 of their papers we have counts for
4 papers · 1 filter
Headless Horseman: Adversarial Attacks on Transfer Learning Models
Ahmed Abdelkader, Michael J. Curry, Liam Fowl +5
Transfer learning facilitates the training of task-specific classifiers using pre-trained models as feature extractors. We present a family of transferable adversarial attacks agai…
MSE-Optimal Neural Network Initialization via Layer Fusion
Ramina Ghods, Andrew S. Lan, Tom Goldstein +1
Deep neural networks achieve state-of-the-art performance for a range of classification and inference tasks. However, the use of stochastic gradient descent combined with the nonco…
Siamese Neural Networks for Wireless Positioning and Channel Charting
Eric Lei, Oscar Castañeda, Olav Tirkkonen +2
Neural networks have been proposed recently for positioning and channel charting of user equipments (UEs) in wireless systems. Both of these approaches process channel state inform…
Adversarially robust transfer learning
Ali Shafahi, Parsa Saadatpanah, Chen Zhu +4
Transfer learning, in which a network is trained on one task and re-purposed on another, is often used to produce neural network classifiers when data is scarce or full-scale train…