{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T17:30:59Z","timestamp":1771954259530,"version":"3.50.1"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,11]]},"DOI":"10.1109\/globalsip45357.2019.8969491","type":"proceedings-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T00:51:57Z","timestamp":1580431917000},"page":"1-5","source":"Crossref","is-referenced-by-count":51,"title":["Generative Counterfactual Introspection for Explainable Deep Learning"],"prefix":"10.1109","author":[{"given":"Shusen","family":"Liu","sequence":"first","affiliation":[{"name":"Lawrence Livermore National Laboratory,CASC, Computation,Livermore,USA"}]},{"given":"Bhavya","family":"Kailkhura","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory,CASC, Computation,Livermore,USA"}]},{"given":"Donald","family":"Loveland","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory,MSD, Physical and Life Science,Livermore,USA"}]},{"given":"Yong","family":"Han","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory,MSD, Physical and Life Science,Livermore,USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms5308"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.15252\/msb.20156651"},{"key":"ref4","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"Simonyan","year":"2013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978\u20133-319-10590-153."},{"key":"ref6","article-title":"Understanding neural networks through deep visualization","author":"Yosinski","year":"2015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1214\/09-SS057"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmat.2017.08.002"},{"key":"ref9","first-page":"2280","article-title":"Examples are not enough, learn to criticize! criticism for interpretability","volume-title":"Advances in Neural Information Processing Systems","author":"Kim"},{"key":"ref10","article-title":"Counterfactual visual explanations","volume-title":"CoRR","author":"Goyal","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2916751"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref15","article-title":"Tree-view: Peeking into deep neural networks via feature-space partitioning","author":"Thiagarajan","year":"2016"},{"key":"ref16","article-title":"Multifaceted feature visualization: Uncovering the different types of features learned by each neuron in deep neural networks","author":"Nguyen","year":"2016"},{"issue":"3","key":"ref17","first-page":"1","article-title":"Visualizing higher-layer features of a deep network","volume":"1341","author":"Erhan","year":"2009","journal-title":"University of Montreal"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00007"},{"key":"ref19","article-title":"Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav)","author":"Kim","year":"2017"},{"key":"ref20","first-page":"4066","article-title":"Counterfactual fairness","author":"Kusner","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref21","article-title":"Explaining deep learning models using causal inference","author":"Narendra","year":"2018"},{"key":"ref22","first-page":"264","article-title":"Counterfactual visual explanations","volume-title":"ICML","author":"Yash Goyal"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_17"},{"key":"ref24","article-title":"Explaining and harnessing adversarial examples","author":"Goodfellow","year":"2014"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2886017"},{"key":"ref26","article-title":"Universal hard-label black-box perturbations: Breaking security-through-obscurity defenses","author":"Hogan","year":"2018"},{"key":"ref27","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Advances in neural information processing systems","author":"Goodfellow"},{"key":"ref28","article-title":"MNIST handwritten digit database","author":"LeCun","year":"2010"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref30","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref32","article-title":"Robustness may be at odds with accuracy","author":"Tsipras","year":"2018"}],"event":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","location":"Ottawa, ON, Canada","start":{"date-parts":[[2019,11,11]]},"end":{"date-parts":[[2019,11,14]]}},"container-title":["2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8961038\/8969075\/08969491.pdf?arnumber=8969491","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T18:08:57Z","timestamp":1757095737000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8969491\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/globalsip45357.2019.8969491","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}