{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:07:06Z","timestamp":1755839226325,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T00:00:00Z","timestamp":1629244800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,8,18]]},"DOI":"10.1145\/3483207.3483224","type":"proceedings-article","created":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T16:26:20Z","timestamp":1635438380000},"page":"100-106","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer"],"prefix":"10.1145","author":[{"given":"Joni","family":"Korpihalkola","sequence":"first","affiliation":[{"name":"JAMK University of Applied Sciences, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tuomo","family":"Sipola","sequence":"additional","affiliation":[{"name":"JAMK University of Applied Sciences, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samir","family":"Puuska","sequence":"additional","affiliation":[{"name":"University of Jyv\u00e4skyl\u00e4, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tero","family":"Kokkonen","sequence":"additional","affiliation":[{"name":"JAMK University of Applied Sciences, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,28]]},"reference":[{"volume-title":"Advanced deep convolutional neural network approaches for digital pathology image analysis: A comprehensive evaluation with different use cases. arXiv preprint arXiv:1904.09075","year":"2019","author":"Alom Md Zahangir","key":"e_1_3_2_1_1_1"},{"volume-title":"Artificial intelligence in digital pathology\u2014new tools for diagnosis and precision oncology. Nature reviews Clinical oncology 16, 11","year":"2019","author":"Bera Kaustav","key":"e_1_3_2_1_2_1"},{"key":"e_1_3_2_1_3_1","unstructured":"Mike Dusenberry and Fei Hu. 2018. Deep Learning for Breast Cancer Mitosis Detection. https:\/\/github.com\/CODAIT\/deep-histopath\/raw\/master\/docs\/tupac16-paper\/paper.pdf.  Mike Dusenberry and Fei Hu. 2018. Deep Learning for Breast Cancer Mitosis Detection. https:\/\/github.com\/CODAIT\/deep-histopath\/raw\/master\/docs\/tupac16-paper\/paper.pdf."},{"volume-title":"Differential evolution","author":"Feoktistov Vitaliy","key":"e_1_3_2_1_4_1"},{"volume-title":"Explaining and Harnessing Adversarial Examples. In International Conference on Learning Representations. http:\/\/arxiv.org\/abs\/1412","year":"2015","author":"Goodfellow Ian","key":"e_1_3_2_1_5_1"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2973069"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ebiom.2017.12.026"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"B. C. Lin H. J. Hsu and S. K. Huang. 2020. Testing Convolutional Neural Network using Adversarial Attacks on Potential Critical Pixels. In 2020 IEEE 44th Annual Computers Software and Applications Conference (COMPSAC). 1743\u20131748. https:\/\/doi.org\/10.1109\/COMPSAC48688.2020.000-3  B. C. Lin H. J. Hsu and S. K. Huang. 2020. Testing Convolutional Neural Network using Adversarial Attacks on Potential Critical Pixels. In 2020 IEEE 44th Annual Computers Software and Applications Conference (COMPSAC). 1743\u20131748. https:\/\/doi.org\/10.1109\/COMPSAC48688.2020.000-3","DOI":"10.1109\/COMPSAC48688.2020.000-3"},{"volume-title":"Tumor Proliferation Assessment Challenge","year":"2016","author":"Medical Image Analysis Group Eindhoven (IMAG\/e). 2016.","key":"e_1_3_2_1_9_1"},{"volume-title":"A machine learning based delta-radiomics process for early prediction of treatment response of pancreatic cancer. npj Precision Oncology 3, 25","year":"2019","author":"Nasief Haidy","key":"e_1_3_2_1_10_1"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3052973.3053009"},{"volume-title":"Mitigating Adversarial Attacks on Medical Image Understanding Systems. In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). 1517\u20131521","year":"2020","author":"Paul R.","key":"e_1_3_2_1_12_1"},{"volume-title":"Handbook of Optimization","author":"Price Kenneth V","key":"e_1_3_2_1_13_1"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/EDUCON.2018.8363488"},{"volume-title":"Tallinn manual 2.0 on the international law applicable to cyber operations","author":"Schmitt Michael N","key":"e_1_3_2_1_15_1"},{"volume-title":"Trends and Applications in Information Systems and Technologies (Advances in Intelligent Systems and Computing), \u00c1lvaro Rocha","author":"Sipola Tuomo","key":"e_1_3_2_1_16_1"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.11610\/isij.4615"},{"volume-title":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). 5705\u20135708","year":"2020","author":"Spanakis E. G.","key":"e_1_3_2_1_18_1"},{"volume-title":"Adversarial Neural Malware Detection Models. In MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM). 1\u20138. https:\/\/doi.org\/10","year":"2018","author":"Stokes J. W.","key":"e_1_3_2_1_19_1"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2890858"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2890858"},{"key":"e_1_3_2_1_22_1","unstructured":"U.S. National Cancer Institute at the National Institutes of Health (NIH). [n.d.]. Cancer Incidence Rate. https:\/\/seer.cancer.gov\/statistics\/types\/incidence.html.  U.S. National Cancer Institute at the National Institutes of Health (NIH). [n.d.]. Cancer Incidence Rate. https:\/\/seer.cancer.gov\/statistics\/types\/incidence.html."},{"key":"e_1_3_2_1_23_1","unstructured":"U.S. National Cancer Institute at the National Institutes of Health (NIH). [n.d.]. Cancer Statistics. https:\/\/www.cancer.gov\/about-cancer\/understanding\/statistics.  U.S. National Cancer Institute at the National Institutes of Health (NIH). [n.d.]. Cancer Statistics. https:\/\/www.cancer.gov\/about-cancer\/understanding\/statistics."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1136\/jcp.2003.010777"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.02.012"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0161286"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-019-0686-2"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-019-1211-x"},{"volume-title":"Network-based machine learning and graph theory algorithms for precision oncology. npj Precision Oncology 1, 25","year":"2017","author":"Zhang Wei","key":"e_1_3_2_1_29_1"}],"event":{"name":"SPML 2021: 2021 4th International Conference on Signal Processing and Machine Learning","acronym":"SPML 2021","location":"Beijing China"},"container-title":["2021 4th International Conference on Signal Processing and Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3483207.3483224","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3483207.3483224","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:57Z","timestamp":1750191537000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3483207.3483224"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,18]]},"references-count":29,"alternative-id":["10.1145\/3483207.3483224","10.1145\/3483207"],"URL":"https:\/\/doi.org\/10.1145\/3483207.3483224","relation":{},"subject":[],"published":{"date-parts":[[2021,8,18]]},"assertion":[{"value":"2021-10-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}