{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T12:12:14Z","timestamp":1753272734610,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,5]],"date-time":"2021-08-05T00:00:00Z","timestamp":1628121600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,8,5]]},"DOI":"10.1145\/3474124.3474208","type":"proceedings-article","created":{"date-parts":[[2021,11,4]],"date-time":"2021-11-04T22:40:25Z","timestamp":1636065625000},"page":"247-251","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Revisiting Machine Learning Training Process for Enhanced Data Privacy"],"prefix":"10.1145","author":[{"given":"Adit","family":"Goyal","sequence":"first","affiliation":[{"name":"Jaypee Institute of Information Technology, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vikas","family":"Hassija","sequence":"additional","affiliation":[{"name":"Jaypee Institute of Information Technology, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victor Hugo C. de","family":"Albuquerque","sequence":"additional","affiliation":[{"name":"Federal University of Ceara, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,11,4]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Alessandro Achille Giovanni Paolini and Stefano Soatto. 2019. Where is the information in a deep neural network?arXiv preprint arXiv:1905.12213(2019).  Alessandro Achille Giovanni Paolini and Stefano Soatto. 2019. Where is the information in a deep neural network?arXiv preprint arXiv:1905.12213(2019)."},{"key":"e_1_3_2_1_2_1","unstructured":"Thomas Baumhauer Pascal Sch\u00f6ttle and Matthias Zeppelzauer. 2020. Machine unlearning: Linear filtration for logit-based classifiers. arXiv preprint arXiv:2002.02730(2020).  Thomas Baumhauer Pascal Sch\u00f6ttle and Matthias Zeppelzauer. 2020. Machine unlearning: Linear filtration for logit-based classifiers. arXiv preprint arXiv:2002.02730(2020)."},{"key":"e_1_3_2_1_3_1","unstructured":"Lucas Bourtoule Varun Chandrasekaran Christopher\u00a0A Choquette-Choo Hengrui Jia Adelin Travers Baiwu Zhang David Lie and Nicolas Papernot. 2019. Machine unlearning. arXiv preprint arXiv:1912.03817(2019).  Lucas Bourtoule Varun Chandrasekaran Christopher\u00a0A Choquette-Choo Hengrui Jia Adelin Travers Baiwu Zhang David Lie and Nicolas Papernot. 2019. Machine unlearning. arXiv preprint arXiv:1912.03817(2019)."},{"key":"e_1_3_2_1_4_1","volume-title":"Towards Making Systems Forget with Machine Unlearning. In 2015 IEEE Symposium on Security and Privacy. 463\u2013480","author":"Cao Y.","year":"2015","unstructured":"Y. Cao and J. Yang . 2015 . Towards Making Systems Forget with Machine Unlearning. In 2015 IEEE Symposium on Security and Privacy. 463\u2013480 . https:\/\/doi.org\/10.1109\/SP. 2015 .35 Y. Cao and J. Yang. 2015. Towards Making Systems Forget with Machine Unlearning. In 2015 IEEE Symposium on Security and Privacy. 463\u2013480. https:\/\/doi.org\/10.1109\/SP.2015.35"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Cynthia Dwork. 2011. Differential Privacy. Springer US Boston MA 338\u2013340. https:\/\/doi.org\/10.1007\/978-1-4419-5906-5_752  Cynthia Dwork. 2011. Differential Privacy. Springer US Boston MA 338\u2013340. https:\/\/doi.org\/10.1007\/978-1-4419-5906-5_752","DOI":"10.1007\/978-1-4419-5906-5_752"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Aditya Golatkar Alessandro Achille Avinash Ravichandran Marzia Polito and Stefano Soatto. 2020. Mixed-Privacy Forgetting in Deep Networks.  Aditya Golatkar Alessandro Achille Avinash Ravichandran Marzia Polito and Stefano Soatto. 2020. Mixed-Privacy Forgetting in Deep Networks.","DOI":"10.1109\/CVPR46437.2021.00085"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00932"},{"key":"e_1_3_2_1_8_1","volume-title":"International Conference on Machine Learning. PMLR, 1225\u20131234","author":"Hardt Moritz","year":"2016","unstructured":"Moritz Hardt , Ben Recht , and Yoram Singer . 2016 . Train faster, generalize better: Stability of stochastic gradient descent . In International Conference on Machine Learning. PMLR, 1225\u20131234 . Moritz Hardt, Ben Recht, and Yoram Singer. 2016. Train faster, generalize better: Stability of stochastic gradient descent. In International Conference on Machine Learning. PMLR, 1225\u20131234."},{"key":"e_1_3_2_1_9_1","volume-title":"Bill Text. https:\/\/leginfo.legislature.ca.gov\/faces\/billTextClient.xhtml?bill_id=201720180AB375 Online","author":"Information California\u00a0Legislative","year":"2021","unstructured":"California\u00a0Legislative Information . 2018. California Legislative Information , Bill Text. https:\/\/leginfo.legislature.ca.gov\/faces\/billTextClient.xhtml?bill_id=201720180AB375 Online ; accessed 11 April 2021 . California\u00a0Legislative Information. 2018. California Legislative Information, Bill Text. https:\/\/leginfo.legislature.ca.gov\/faces\/billTextClient.xhtml?bill_id=201720180AB375 Online; accessed 11 April 2021."},{"key":"e_1_3_2_1_10_1","unstructured":"Alex Krizhevsky. 2012. Learning Multiple Layers of Features from Tiny Images. University of Toronto (05 2012).  Alex Krizhevsky. 2012. Learning Multiple Layers of Features from Tiny Images. University of Toronto (05 2012)."},{"key":"e_1_3_2_1_11_1","unstructured":"Yann LeCun Corinna Cortes and Christopher J.C.\u00a0Burges. [n.d.]. The MNIST Database of handwritten digits. http:\/\/yann.lecun.com\/exdb\/mnist\/ Online; accessed 15 April 2021.  Yann LeCun Corinna Cortes and Christopher J.C.\u00a0Burges. [n.d.]. The MNIST Database of handwritten digits. http:\/\/yann.lecun.com\/exdb\/mnist\/ Online; accessed 15 April 2021."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clsr.2013.03.010"},{"key":"e_1_3_2_1_13_1","unstructured":"James Martens. 2014. New insights and perspectives on the natural gradient method. arXiv preprint arXiv:1412.1193(2014).  James Martens. 2014. New insights and perspectives on the natural gradient method. arXiv preprint arXiv:1412.1193(2014)."},{"volume-title":"Words We\u2019re Watching: \u2019Streisand Effect\u2019. https:\/\/www.merriam-webster.com\/words-at-play\/words-were-watching-streisand-effect-barbra Online","year":"2021","key":"e_1_3_2_1_14_1","unstructured":"Merriam-Webster. [n.d.]. Words We\u2019re Watching: \u2019Streisand Effect\u2019. https:\/\/www.merriam-webster.com\/words-at-play\/words-were-watching-streisand-effect-barbra Online ; accessed 15 April 2021 . Merriam-Webster. [n.d.]. Words We\u2019re Watching: \u2019Streisand Effect\u2019. https:\/\/www.merriam-webster.com\/words-at-play\/words-were-watching-streisand-effect-barbra Online; accessed 15 April 2021."},{"key":"e_1_3_2_1_15_1","unstructured":"Jost\u00a0Tobias Springenberg Alexey Dosovitskiy Thomas Brox and Martin Riedmiller. 2014. Striving for simplicity: The all convolutional net. arXiv preprint arXiv:1412.6806(2014).  Jost\u00a0Tobias Springenberg Alexey Dosovitskiy Thomas Brox and Martin Riedmiller. 2014. Striving for simplicity: The all convolutional net. arXiv preprint arXiv:1412.6806(2014)."}],"event":{"name":"IC3 '21: 2021 Thirteenth International Conference on Contemporary Computing","acronym":"IC3 '21","location":"Noida India"},"container-title":["2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474124.3474208","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474124.3474208","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:20Z","timestamp":1750195700000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474124.3474208"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,5]]},"references-count":15,"alternative-id":["10.1145\/3474124.3474208","10.1145\/3474124"],"URL":"https:\/\/doi.org\/10.1145\/3474124.3474208","relation":{},"subject":[],"published":{"date-parts":[[2021,8,5]]},"assertion":[{"value":"2021-11-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}