{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T12:41:22Z","timestamp":1780317682317,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T00:00:00Z","timestamp":1722297600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Department of Energy","award":["DE-AC07-05ID14517"],"award-info":[{"award-number":["DE-AC07-05ID14517"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7,30]]},"DOI":"10.1145\/3664476.3664520","type":"proceedings-article","created":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T12:35:50Z","timestamp":1721910950000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["From Code to EM Signals: A Generative Approach to Side Channel Analysis-based Anomaly Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5668-0664","authenticated-orcid":false,"given":"Kurt A.","family":"Vedros","sequence":"first","affiliation":[{"name":"University of Idaho, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3020-291X","authenticated-orcid":false,"given":"Constantinos","family":"Kolias","sequence":"additional","affiliation":[{"name":"University of Idaho, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2830-1038","authenticated-orcid":false,"given":"Daniel","family":"Barbara","sequence":"additional","affiliation":[{"name":"George Mason University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3923-2389","authenticated-orcid":false,"given":"Robert C.","family":"Ivans","sequence":"additional","affiliation":[{"name":"Idaho National Laboratory, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,7,30]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International conference on machine learning. PMLR, 214\u2013223","author":"Arjovsky Martin","year":"2017","unstructured":"Martin Arjovsky, Soumith Chintala, and L\u00e9on Bottou. 2017. Wasserstein generative adversarial networks. In International conference on machine learning. PMLR, 214\u2013223."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"e_1_3_2_1_3_1","volume-title":"Advances in Neural Information Processing Systems, I.\u00a0Guyon, U.\u00a0Von Luxburg, S.\u00a0Bengio, H.\u00a0Wallach, R.\u00a0Fergus, S.\u00a0Vishwanathan, and R.\u00a0Garnett (Eds.). Vol.\u00a030. Curran Associates","author":"Gulrajani Ishaan","unstructured":"Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron\u00a0C Courville. 2017. Improved Training of Wasserstein GANs. In Advances in Neural Information Processing Systems, I.\u00a0Guyon, U.\u00a0Von Luxburg, S.\u00a0Bengio, H.\u00a0Wallach, R.\u00a0Fergus, S.\u00a0Vishwanathan, and R.\u00a0Garnett (Eds.). Vol.\u00a030. Curran Associates, Inc."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_5_1","volume-title":"Cyber Sensing","author":"Khan Haider\u00a0Adnan","year":"2018","unstructured":"Haider\u00a0Adnan Khan, Monjur Alam, Alenka Zajic, and Milos Prvulovic. 2018. Detailed tracking of program control flow using analog side-channel signals: a promise for iot malware detection and a threat for many cryptographic implementations. In Cyber Sensing 2018, Vol.\u00a010630. International Society for Optics and Photonics, 1063005."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1561\/9781680836233"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/SPW50608.2020.00040"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD.2017.8203769"},{"key":"e_1_3_2_1_9_1","volume-title":"Diffgan-tts: High-fidelity and efficient text-to-speech with denoising diffusion gans. arXiv preprint arXiv:2201.11972","author":"Liu Songxiang","year":"2022","unstructured":"Songxiang Liu, Dan Su, and Dong Yu. 2022. Diffgan-tts: High-fidelity and efficient text-to-speech with denoising diffusion gans. arXiv preprint arXiv:2201.11972 (2022)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978299"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_13"},{"key":"e_1_3_2_1_12_1","volume-title":"Detecting Code Injections in Noisy Environments through EM Signal Analysis and SVD Denoising. Master\u2019s thesis","author":"Miller Ekaterina","unstructured":"Ekaterina Miller. 2022. Detecting Code Injections in Noisy Environments through EM Signal Analysis and SVD Denoising. Master\u2019s thesis. University of Idaho. https:\/\/www.proquest.com\/dissertations-theses\/detecting-code-injections-noisy-environments\/docview\/2674042935\/se-2"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2020.3037659"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/HST.2018.8383884"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA47549.2020.00016"},{"key":"e_1_3_2_1_16_1","volume-title":"On the Limits of EM Based Detection of Control Logic Injection Attacks In Noisy Environments. In 2021 Resilience Week (RWS)","author":"Vedros Kurt","unstructured":"Kurt Vedros, Georgios\u00a0Michail Makrakis, Constantinos Kolias, Min Xian, Daniel Barbara, and Craig Rieger. 2021. On the Limits of EM Based Detection of Control Logic Injection Attacks In Noisy Environments. In 2021 Resilience Week (RWS). IEEE, 1\u20139."},{"key":"e_1_3_2_1_17_1","volume-title":"Towards GAN-based Code-to-Signal Synthesis. In MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM). IEEE, 716\u2013721","author":"Vedros A","year":"2023","unstructured":"Kurt\u00a0A Vedros, Constantinos Kolias, and Robert\u00a0C Ivans. 2023. Do Programs Dream of Electromagnetic Signals? Towards GAN-based Code-to-Signal Synthesis. In MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM). IEEE, 716\u2013721."},{"key":"e_1_3_2_1_18_1","volume-title":"Towards Scalable EM-based Anomaly Detection For Embedded Devices Through Synthetic Fingerprinting. arXiv preprint arXiv:2302.02324","author":"Vedros A","year":"2023","unstructured":"Kurt\u00a0A Vedros, Georgios\u00a0Michail Makrakis, Constantinos Kolias, Robert\u00a0C Ivans, and Craig Rieger. 2023. Towards Scalable EM-based Anomaly Detection For Embedded Devices Through Synthetic Fingerprinting. arXiv preprint arXiv:2302.02324 (2023)."},{"key":"e_1_3_2_1_19_1","volume-title":"Generative adversarial network based on resnet for conditional image restoration. arXiv preprint arXiv:1707.04881","author":"Wang Meng","year":"2017","unstructured":"Meng Wang, Huafeng Li, and Fang Li. 2017. Generative adversarial network based on resnet for conditional image restoration. arXiv preprint arXiv:1707.04881 (2017)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/HST.2019.8740838"}],"event":{"name":"ARES 2024: The 19th International Conference on Availability, Reliability and Security","location":"Vienna Austria","acronym":"ARES 2024"},"container-title":["Proceedings of the 19th International Conference on Availability, Reliability and Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664476.3664520","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3664476.3664520","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664476.3664520","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664476.3664520","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:55:43Z","timestamp":1755881743000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664476.3664520"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,30]]},"references-count":20,"alternative-id":["10.1145\/3664476.3664520","10.1145\/3664476"],"URL":"https:\/\/doi.org\/10.1145\/3664476.3664520","relation":{},"subject":[],"published":{"date-parts":[[2024,7,30]]},"assertion":[{"value":"2024-07-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}