{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T15:12:10Z","timestamp":1784301130728,"version":"3.55.0"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319667867","type":"print"},{"value":"9783319667874","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-66787-4_3","type":"book-chapter","created":{"date-parts":[[2017,8,24]],"date-time":"2017-08-24T13:06:02Z","timestamp":1503579962000},"page":"45-68","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":288,"title":["Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures"],"prefix":"10.1007","author":[{"given":"Eleonora","family":"Cagli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C\u00e9cile","family":"Dumas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emmanuel","family":"Prouff","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,8,25]]},"reference":[{"key":"3_CR1","unstructured":"Keras library. https:\/\/keras.io\/"},{"key":"3_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/978-3-662-48324-4_20","volume-title":"Cryptographic Hardware and Embedded Systems \u2013 CHES 2015","author":"S Bela\u00efd","year":"2015","unstructured":"Bela\u00efd, S., Coron, J.-S., Fouque, P.-A., G\u00e9rard, B., Kammerer, J.-G., Prouff, E.: Improved side-channel analysis of finite-field multiplication. In: G\u00fcneysu, T., Handschuh, H. (eds.) CHES 2015. LNCS, vol. 9293, pp. 395\u2013415. Springer, Heidelberg (2015). doi: 10.1007\/978-3-662-48324-4_20"},{"key":"3_CR3","volume-title":"Pattern Recognition and Machine Learning","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, Heidelberg (2006)"},{"key":"3_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-319-54669-8_1","volume-title":"Smart Card Research and Advanced Applications","author":"E Cagli","year":"2017","unstructured":"Cagli, E., Dumas, C., Prouff, E.: Kernel discriminant analysis for information extraction in the presence of masking. In: Lemke-Rust, K., Tunstall, M. (eds.) CARDIS 2016. LNCS, vol. 10146, pp. 1\u201322. Springer, Cham (2017). doi: 10.1007\/978-3-319-54669-8_1"},{"key":"3_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/3-540-36400-5_3","volume-title":"Cryptographic Hardware and Embedded Systems - CHES 2002","author":"S Chari","year":"2003","unstructured":"Chari, S., Rao, J.R., Rohatgi, P.: Template attacks. In: Kaliski, B.S., Ko\u00e7, K., Paar, C. (eds.) CHES 2002. LNCS, vol. 2523, pp. 13\u201328. Springer, Heidelberg (2003). doi: 10.1007\/3-540-36400-5_3"},{"key":"3_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/978-3-319-08302-5_17","volume-title":"Smart Card Research and Advanced Applications","author":"O Choudary","year":"2014","unstructured":"Choudary, O., Kuhn, M.G.: Efficient template attacks. In: Francillon, A., Rohatgi, P. (eds.) CARDIS 2013. LNCS, vol. 8419, pp. 253\u2013270. Springer, Cham (2014). doi: 10.1007\/978-3-319-08302-5_17"},{"key":"3_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1007\/3-540-44499-8_20","volume-title":"Cryptographic Hardware and Embedded Systems \u2014 CHES 2000","author":"C Clavier","year":"2000","unstructured":"Clavier, C., Coron, J.-S., Dabbous, N.: Differential power analysis in the presence of hardware countermeasures. In: Ko\u00e7, \u00c7.K., Paar, C. (eds.) CHES 2000. LNCS, vol. 1965, pp. 252\u2013263. Springer, Heidelberg (2000). doi: 10.1007\/3-540-44499-8_20"},{"key":"3_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1007\/978-3-642-04138-9_12","volume-title":"Cryptographic Hardware and Embedded Systems - CHES 2009","author":"J-S Coron","year":"2009","unstructured":"Coron, J.-S., Kizhvatov, I.: An efficient method for random delay generation in embedded software. In: Clavier, C., Gaj, K. (eds.) CHES 2009. LNCS, vol. 5747, pp. 156\u2013170. Springer, Heidelberg (2009). doi: 10.1007\/978-3-642-04138-9_12"},{"key":"3_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/978-3-642-15031-9_7","volume-title":"Cryptographic Hardware and Embedded Systems, CHES 2010","author":"J-S Coron","year":"2010","unstructured":"Coron, J.-S., Kizhvatov, I.: Analysis and improvement of the random delay countermeasure of CHES 2009. In: Mangard, S., Standaert, F.-X. (eds.) CHES 2010. LNCS, vol. 6225, pp. 95\u2013109. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-15031-9_7"},{"key":"3_CR10","volume-title":"Elements of Information Theory","author":"TM Cover","year":"2012","unstructured":"Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley, New York (2012)"},{"key":"3_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/978-3-642-37288-9_9","volume-title":"Smart Card Research and Advanced Applications","author":"F Durvaux","year":"2013","unstructured":"Durvaux, F., Renauld, M., Standaert, F.-X., van Oldeneel tot Oldenzeel, L., Veyrat-Charvillon, N.: Efficient removal of random delays from embedded software implementations using Hidden Markov models. In: Mangard, S. (ed.) CARDIS 2012. LNCS, vol. 7771, pp. 123\u2013140. Springer, Heidelberg (2013). doi: 10.1007\/978-3-642-37288-9_9"},{"issue":"7","key":"3_CR12","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1111\/j.1469-1809.1936.tb02137.x","volume":"7","author":"RA Fisher","year":"1936","unstructured":"Fisher, R.A.: The use of multiple measurements in taxonomic problems. Ann. Eugen. 7(7), 179\u2013188 (1936)","journal-title":"Ann. Eugen."},{"key":"3_CR13","volume-title":"Deep Learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016). http:\/\/www.deeplearningbook.org"},{"key":"3_CR14","unstructured":"Hinton, G.E., Srivastava, N., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Improving neural networks by preventing co-adaptation of feature detectors. CoRR, abs\/1207.0580 (2012)"},{"issue":"4","key":"3_CR15","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1007\/s13389-011-0023-x","volume":"1","author":"G Hospodar","year":"2011","unstructured":"Hospodar, G., Gierlichs, B., De Mulder, E., Verbauwhede, I., Vandewalle, J.: Machine learning in side-channel analysis: a first study. J. Crypt. Eng. 1(4), 293\u2013302 (2011)","journal-title":"J. Crypt. Eng."},{"key":"3_CR16","unstructured":"Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. CoRR, abs\/1502.03167 (2015)"},{"key":"3_CR17","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 25, pp. 1097\u20131105. Curran Associates Inc. (2012)"},{"key":"3_CR18","unstructured":"LeCun, Y., Bengio, Y., et al.: Convolutional networks for images, speech, and time series. In: The Handbook of Brain Theory and Neural Networks, vol. 3361(10) (1995)"},{"key":"3_CR19","doi-asserted-by":"crossref","unstructured":"Lin, H.W., Tegmark, M.: Why does deep and cheap learning work so well? arXiv preprint arXiv:1608.08225 (2016)","DOI":"10.1007\/s10955-017-1836-5"},{"key":"3_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-49445-6_1","volume-title":"Security, Privacy, and Applied Cryptography Engineering","author":"H Maghrebi","year":"2016","unstructured":"Maghrebi, H., Portigliatti, T., Prouff, E.: Breaking cryptographic implementations using deep learning techniques. In: Carlet, C., Hasan, M.A., Saraswat, V. (eds.) SPACE 2016. LNCS, vol. 10076, pp. 3\u201326. Springer, Cham (2016). doi: 10.1007\/978-3-319-49445-6_1"},{"key":"3_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1007\/978-3-540-24660-2_18","volume-title":"Topics in Cryptology \u2013 CT-RSA 2004","author":"S Mangard","year":"2004","unstructured":"Mangard, S.: Hardware countermeasures against DPA \u2013 a statistical analysis of their effectiveness. In: Okamoto, T. (ed.) CT-RSA 2004. LNCS, vol. 2964, pp. 222\u2013235. Springer, Heidelberg (2004). doi: 10.1007\/978-3-540-24660-2_18"},{"key":"3_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/978-3-319-08302-5_7","volume-title":"Smart Card Research and Advanced Applications","author":"Z Martinasek","year":"2014","unstructured":"Martinasek, Z., Hajny, J., Malina, L.: Optimization of power analysis using neural network. In: Francillon, A., Rohatgi, P. (eds.) CARDIS 2013. LNCS, vol. 8419, pp. 94\u2013107. Springer, Cham (2014). doi: 10.1007\/978-3-319-08302-5_7"},{"issue":"2","key":"3_CR23","first-page":"586","volume":"22","author":"Z Martinasek","year":"2013","unstructured":"Martinasek, Z., Zeman, V.: Innovative method of the power analysis. Radioengineering 22(2), 586\u2013594 (2013)","journal-title":"Radioengineering"},{"key":"3_CR24","doi-asserted-by":"crossref","unstructured":"Nagashima, S., Homma, N., Imai, Y., Aoki, T., Satoh, A.: DPA using phase-based waveform matching against random-delay countermeasure. In: IEEE International Symposium on Circuits and Systems, ISCAS 2007, pp. 1807\u20131810. IEEE (2007)","DOI":"10.1109\/ISCAS.2007.378024"},{"key":"3_CR25","unstructured":"Nair, V., Hinton, G.E.: Rectified linear units improve restricted boltzmann machines. In: Proceedings of the 27th International Conference on Machine Learning (ICML 2010), pp. 807\u2013814 (2010)"},{"key":"3_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/978-3-642-35289-8_5","volume-title":"Neural Networks: Tricks of the Trade","author":"L Prechelt","year":"2012","unstructured":"Prechelt, L.: Early stopping \u2014 but when? In: Montavon, G., Orr, G.B., M\u00fcller, K.-R. (eds.) Neural Networks: Tricks of the Trade. LNCS, vol. 7700, pp. 53\u201367. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-35289-8_5"},{"key":"3_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1007\/11545262_3","volume-title":"Cryptographic Hardware and Embedded Systems \u2013 CHES 2005","author":"W Schindler","year":"2005","unstructured":"Schindler, W., Lemke, K., Paar, C.: A stochastic model for differential side channel cryptanalysis. In: Rao, J.R., Sunar, B. (eds.) CHES 2005. LNCS, vol. 3659, pp. 30\u201346. Springer, Heidelberg (2005). doi: 10.1007\/11545262_3"},{"key":"3_CR28","doi-asserted-by":"crossref","unstructured":"Simard, P.Y., Steinkraus, D., Platt, J.C., et al.: Best practices for convolutional neural networks applied to visual document analysis. In: ICDAR, vol. 3, pp. 958\u2013962. Citeseer (2003)","DOI":"10.1109\/ICDAR.2003.1227801"},{"key":"3_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/978-3-540-72354-7_3","volume-title":"Information Security Theory and Practices. Smart Cards, Mobile and Ubiquitous Computing Systems","author":"M Tunstall","year":"2007","unstructured":"Tunstall, M., Benoit, O.: Efficient use of random delays in embedded software. In: Sauveron, D., Markantonakis, K., Bilas, A., Quisquater, J.-J. (eds.) WISTP 2007. LNCS, vol. 4462, pp. 27\u201338. Springer, Heidelberg (2007). doi: 10.1007\/978-3-540-72354-7_3"},{"key":"3_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1007\/978-3-642-19074-2_8","volume-title":"Topics in Cryptology \u2013 CT-RSA 2011","author":"JGJ Woudenberg","year":"2011","unstructured":"Woudenberg, J.G.J., Witteman, M.F., Bakker, B.: Improving differential power analysis by elastic alignment. In: Kiayias, A. (ed.) CT-RSA 2011. LNCS, vol. 6558, pp. 104\u2013119. Springer, Heidelberg (2011). doi: 10.1007\/978-3-642-19074-2_8"},{"key":"3_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-642-34961-4_44","volume-title":"Advances in Cryptology \u2013 ASIACRYPT 2012","author":"N Veyrat-Charvillon","year":"2012","unstructured":"Veyrat-Charvillon, N., Medwed, M., Kerckhof, S., Standaert, F.-X.: Shuffling against side-channel attacks: a comprehensive study with cautionary note. In: Wang, X., Sako, K. (eds.) ASIACRYPT 2012. LNCS, vol. 7658, pp. 740\u2013757. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-34961-4_44"},{"key":"3_CR32","doi-asserted-by":"crossref","unstructured":"Wong, S.C., Gatt, A., Stamatescu, V., McDonnell, M.D.: Understanding data augmentation for classification: when to warp? In: 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp. 1\u20136. IEEE (2016)","DOI":"10.1109\/DICTA.2016.7797091"},{"key":"3_CR33","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-3-642-31912-9_12","volume-title":"Information Security and Cryptology - ICISC 2011","author":"S Yang","year":"2012","unstructured":"Yang, S., Zhou, Y., Liu, J., Chen, D.: Back propagation neural network based leakage characterization for practical security analysis of cryptographic implementations. In: Kim, H. (ed.) ICISC 2011. LNCS, vol. 7259, pp. 169\u2013185. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-31912-9_12"}],"container-title":["Lecture Notes in Computer Science","Cryptographic Hardware and Embedded Systems \u2013 CHES 2017"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-66787-4_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T01:34:00Z","timestamp":1750815240000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-66787-4_3"}},"subtitle":["Profiling Attacks Without Pre-processing"],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319667867","9783319667874"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-66787-4_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"25 August 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CHES","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Cryptographic Hardware and Embedded Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taipei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ches2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ches.iacr.org\/2017\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}