research
∙
10/09/2022
QuTE: decentralized multiple testing on sensor networks with false discovery rate control
This paper designs methods for decentralized multiple hypothesis testing...
share
research
∙
10/09/2022
A Transformer-based deep neural network model for SSVEP classification
Steady-state visual evoked potential (SSVEP) is one of the most commonly...
research
∙
06/08/2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution
Deep neural networks obtain state-of-the-art performance on a series of ...
research
∙
04/03/2019
Boundary Attack++: Query-Efficient Decision-Based Adversarial Attack
Decision-based adversarial attack studies the generation of adversarial ...
research
∙
02/11/2019
LS-Tree: Model Interpretation When the Data Are Linguistic
We study the problem of interpreting trained classification models in th...
research
∙
08/08/2018
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data
We study instancewise feature importance scoring as a method for model i...
research
∙
05/31/2018
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
We present a probabilistic framework for studying adversarial attacks on...
research
∙
02/21/2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
We introduce instancewise feature selection as a methodology for model i...
research
∙
11/16/2017
Language-Based Image Editing with Recurrent Attentive Models
We investigate the problem of Language-Based Image Editing (LBIE) in thi...
research
∙
09/29/2017
DAGGER: A sequential algorithm for FDR control on DAGs
We propose a top-down algorithm for multiple testing on directed acyclic...
research
∙
07/04/2017
