{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:43:45Z","timestamp":1763192625279,"version":"3.45.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T00:00:00Z","timestamp":1760400000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T00:00:00Z","timestamp":1760400000000},"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":[[2025,10,14]]},"DOI":"10.1109\/bcca66705.2025.11229654","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:17Z","timestamp":1763145977000},"page":"641-649","source":"Crossref","is-referenced-by-count":0,"title":["ASPARaGUS: Blockchain-Based Efficient Framework for Neural Network Poisoning Mitigation"],"prefix":"10.1109","author":[{"given":"Ashley","family":"Day","sequence":"first","affiliation":[{"name":"Boise State University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joshua","family":"Smith","sequence":"additional","affiliation":[{"name":"Hamilton College,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaby G.","family":"Dagher","sequence":"additional","affiliation":[{"name":"Boise State University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tim","family":"Andersen","sequence":"additional","affiliation":[{"name":"Boise State University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Certified defenses for data poisoning attacks","volume":"30","author":"Steinhardt","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref2","article-title":"Adversarial perturbations against deep neural networks for malware classification","author":"Grosse","year":"2016","journal-title":"arXiv preprint arXiv:1606.04435"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref4","article-title":"Ensemble adversarial training: Attacks and defenses","author":"Tram\u00e8r","year":"2017","journal-title":"arXiv preprint arXiv:1705.07204"},{"key":"ref5","article-title":"Targeted backdoor attacks on deep learning systems using data poisoning","author":"Chen","year":"2017","journal-title":"arXiv preprint arXiv:1712.05526"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3264418"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CogMI58952.2023.00015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48184-2_32"},{"key":"ref9","article-title":"Towards a rigorous science of interpretable machine learning","author":"Doshi-Velez","year":"2017","journal-title":"arXiv preprint arXiv:1702.08608"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3233547.3233667"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"ref12","article-title":"Explainable artificial intelligence: Understanding, visualizing and interpreting deep learning models","author":"Samek","year":"2017","journal-title":"arXiv preprint arXiv:1708.08296"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2018.00057"},{"key":"ref14","article-title":"Poison frogs! targeted clean-label poisoning attacks on neural networks","volume":"31","author":"Shafahi","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref15","article-title":"Detecting backdoor attacks on deep neural networks by activation clustering","author":"Chen","year":"2018","journal-title":"arXiv preprint arXiv:1811.03728"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/e21080723"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3056773"},{"issue":"4","key":"ref18","first-page":"39","article-title":"Accelerating the machine learning lifecycle with mlflow","volume":"41","author":"Zaharia","year":"2018","journal-title":"IEEE Data Eng. Bull."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2939502.2939516"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107130"},{"article-title":"Bitcoin: A peer-to-peer electronic cash system","year":"2008","author":"Nakamoto","key":"ref21"},{"key":"ref22","article-title":"Intriguing properties of neural networks","author":"Szegedy","year":"2013","journal-title":"arXiv preprint arXiv:1312.6199"},{"key":"ref23","article-title":"Explaining and harnessing adversarial examples","author":"Goodfellow","year":"2014","journal-title":"arXiv preprint arXiv:1412.6572"}],"event":{"name":"2025 7th International Conference on Blockchain Computing and Applications (BCCA)","start":{"date-parts":[[2025,10,14]]},"location":"Durbovnic, Croatia","end":{"date-parts":[[2025,10,17]]}},"container-title":["2025 7th International Conference on Blockchain Computing and Applications (BCCA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11229428\/11227167\/11229654.pdf?arnumber=11229654","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:40:54Z","timestamp":1763192454000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11229654\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,14]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/bcca66705.2025.11229654","relation":{},"subject":[],"published":{"date-parts":[[2025,10,14]]}}}