74 citations · 195 across the 15 of their papers we have counts for
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cs.LG2016★ 27 cited
A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Beilun Wang, Ji Gao, Yanjun Qi
Most machine learning classifiers, including deep neural networks, are vulnerable to adversarial examples. Such inputs are typically generated by adding small but purposeful modifi…
cs.LG2016★ 24 cited
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
Jack Lanchantin, Ritambhara Singh, Beilun Wang +1
Deep neural network (DNN) models have recently obtained state-of-the-art prediction accuracy for the transcription factor binding (TFBS) site classification task. However, it remai…
cs.LG2016★ 1 cited
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models
Beilun Wang, Ritambhara Singh, Yanjun Qi
Identifying context-specific entity networks from aggregated data is an important task, arising often in bioinformatics and neuroimaging. Computationally, this task can be formulat…