{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:13:20Z","timestamp":1755839600986,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,10]],"date-time":"2023-07-10T00:00:00Z","timestamp":1688947200000},"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":[[2023,7,10]]},"DOI":"10.1145\/3595353.3595886","type":"proceedings-article","created":{"date-parts":[[2023,9,2]],"date-time":"2023-09-02T16:07:09Z","timestamp":1693670829000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["On the Application of Synthetic Media to Penetration Testing"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-6161-6701","authenticated-orcid":false,"given":"Nathalia","family":"Soares","sequence":"first","affiliation":[{"name":"Louisiana State University, Baggil(i) Truth (Bit) Lab, USA and Louisiana State University, Center of Computation & Technology 2Division of Computer Science & Engineering, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4358-946X","authenticated-orcid":false,"given":"Steven","family":"Seiden","sequence":"additional","affiliation":[{"name":"Louisiana State University, Baggil(i) Truth (Bit) Lab, USA and Louisiana State University, Center of Computation & Technology 2Division of Computer Science & Engineering, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9574-9537","authenticated-orcid":false,"given":"Ibrahim","family":"Baggili","sequence":"additional","affiliation":[{"name":"Louisiana State University, Baggil(i) Truth (Bit) Lab, USA and Louisiana State University, Center of Computation & Technology 2Division of Computer Science & Engineering, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0682-6087","authenticated-orcid":false,"given":"Andrew","family":"Webb","sequence":"additional","affiliation":[{"name":"Louisiana State University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,9,2]]},"reference":[{"unstructured":"Aditya. 2018. A Reddit user starts \u2019deepfake\u2019. https:\/\/www.eyerys.com\/articles\/timeline\/reddit-user-starts-deepfake#event-a-href-articles-timeline-blackpink-management-asks-police-investigate-alleged-photo-leak-of-jennie-and-bts-vblackpinks-management-asks-police-to-investigate-the-alleged-photo-leak-of-jennie-with-bts039-s-v-a  Aditya. 2018. A Reddit user starts \u2019deepfake\u2019. https:\/\/www.eyerys.com\/articles\/timeline\/reddit-user-starts-deepfake#event-a-href-articles-timeline-blackpink-management-asks-police-investigate-alleged-photo-leak-of-jennie-and-bts-vblackpinks-management-asks-police-to-investigate-the-alleged-photo-leak-of-jennie-with-bts039-s-v-a","key":"e_1_3_2_1_1_1"},{"key":"e_1_3_2_1_2_1","volume-title":"CVPR workshops, Vol.\u00a01. 38","author":"Agarwal Shruti","year":"2019","unstructured":"Shruti Agarwal , Hany Farid , Yuming Gu , Mingming He , Koki Nagano , and Hao Li . 2019 . Protecting World Leaders Against Deep Fakes .. In CVPR workshops, Vol.\u00a01. 38 . Shruti Agarwal, Hany Farid, Yuming Gu, Mingming He, Koki Nagano, and Hao Li. 2019. Protecting World Leaders Against Deep Fakes.. In CVPR workshops, Vol.\u00a01. 38."},{"doi-asserted-by":"crossref","unstructured":"Nash Anderson Daniel\u00a0L Belavy Stephen\u00a0M Perle Sharief Hendricks Luiz Hespanhol Evert Verhagen and Aamir\u00a0R Memon. 2023. AI did not write this manuscript or did it? Can we trick the AI text detector into generated texts? The potential future of ChatGPT and AI in Sports & Exercise Medicine manuscript generation. BMJ Open Sport & Exercise Medicine 9 1 (2023). https:\/\/doi.org\/10.1136\/bmjsem-2023-001568 arXiv:https:\/\/bmjopensem.bmj.com\/content\/9\/1\/e001568.full.pdf 10.1136\/bmjsem-2023-001568","key":"#cr-split#-e_1_3_2_1_3_1.1","DOI":"10.1136\/bmjsem-2023-001568"},{"doi-asserted-by":"crossref","unstructured":"Nash Anderson Daniel\u00a0L Belavy Stephen\u00a0M Perle Sharief Hendricks Luiz Hespanhol Evert Verhagen and Aamir\u00a0R Memon. 2023. AI did not write this manuscript or did it? Can we trick the AI text detector into generated texts? The potential future of ChatGPT and AI in Sports & Exercise Medicine manuscript generation. BMJ Open Sport & Exercise Medicine 9 1 (2023). https:\/\/doi.org\/10.1136\/bmjsem-2023-001568 arXiv:https:\/\/bmjopensem.bmj.com\/content\/9\/1\/e001568.full.pdf","key":"#cr-split#-e_1_3_2_1_3_1.2","DOI":"10.1136\/bmjsem-2023-001568"},{"unstructured":"Jon Bateman. 2020. Deepfakes and Synthetic Media in the financial system: Assessing threat scenarios. https:\/\/carnegieendowment.org\/2020\/07\/08\/deepfakes-and-synthetic-media-in-financial-system-assessing-threat-scenarios-pub-82237  Jon Bateman. 2020. Deepfakes and Synthetic Media in the financial system: Assessing threat scenarios. https:\/\/carnegieendowment.org\/2020\/07\/08\/deepfakes-and-synthetic-media-in-financial-system-assessing-threat-scenarios-pub-82237","key":"e_1_3_2_1_4_1"},{"key":"e_1_3_2_1_5_1","volume-title":"The weaponisation of synthetic media: what threat does this pose to national security?Ciber Elcano57","author":"Bonfanti E","year":"2020","unstructured":"Matteo\u00a0 E Bonfanti . 2020. The weaponisation of synthetic media: what threat does this pose to national security?Ciber Elcano57 ( 2020 ). Matteo\u00a0E Bonfanti. 2020. The weaponisation of synthetic media: what threat does this pose to national security?Ciber Elcano57 (2020)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.1016\/j.jvcir.2021.103239"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_7_1","DOI":"10.1109\/TIFS.2016.2555286"},{"key":"e_1_3_2_1_8_1","volume-title":"A robust GAN-generated face detection method based on dual-color spaces and an improved Xception","author":"Chen Beijing","year":"2021","unstructured":"Beijing Chen , Xin Liu , Yuhui Zheng , Guoying Zhao , and Yun-Qing Shi . 2021. A robust GAN-generated face detection method based on dual-color spaces and an improved Xception . IEEE Transactions on Circuits and Systems for Video Technology ( 2021 ). Beijing Chen, Xin Liu, Yuhui Zheng, Guoying Zhao, and Yun-Qing Shi. 2021. A robust GAN-generated face detection method based on dual-color spaces and an improved Xception. IEEE Transactions on Circuits and Systems for Video Technology (2021)."},{"key":"e_1_3_2_1_9_1","volume-title":"Fakecatcher: Detection of synthetic portrait videos using biological signals","author":"Ciftci Umur\u00a0Aybars","year":"2020","unstructured":"Umur\u00a0Aybars Ciftci , Ilke Demir , and Lijun Yin . 2020 . Fakecatcher: Detection of synthetic portrait videos using biological signals . IEEE transactions on pattern analysis and machine intelligence (2020). Umur\u00a0Aybars Ciftci, Ilke Demir, and Lijun Yin. 2020. Fakecatcher: Detection of synthetic portrait videos using biological signals. IEEE transactions on pattern analysis and machine intelligence (2020)."},{"unstructured":"XM Cyber. 2022. What is a blue team?https:\/\/www.xmcyber.com\/glossary\/what-is-a-blue-team\/  XM Cyber. 2022. What is a blue team?https:\/\/www.xmcyber.com\/glossary\/what-is-a-blue-team\/","key":"e_1_3_2_1_10_1"},{"unstructured":"Gelei Deng. 2023. PentestGPT. https:\/\/github.com\/GreyDGL\/PentestGPT.  Gelei Deng. 2023. PentestGPT. https:\/\/github.com\/GreyDGL\/PentestGPT.","key":"e_1_3_2_1_11_1"},{"doi-asserted-by":"crossref","unstructured":"Hui Ding Kumar Sricharan and Rama Chellappa. 2017. ExprGAN: Facial Expression Editing with Controllable Expression Intensity. arxiv:1709.03842\u00a0[cs.CV]  Hui Ding Kumar Sricharan and Rama Chellappa. 2017. ExprGAN: Facial Expression Editing with Controllable Expression Intensity. arxiv:1709.03842\u00a0[cs.CV]","key":"e_1_3_2_1_12_1","DOI":"10.1609\/aaai.v32i1.12277"},{"key":"e_1_3_2_1_13_1","article-title":"Creating, Using, Misusing, and Detecting Deep Fakes","volume":"1","author":"Farid Hany","year":"2022","unstructured":"Hany Farid . 2022 . Creating, Using, Misusing, and Detecting Deep Fakes . Journal of Online Trust and Safety 1 , 4 (2022). Hany Farid. 2022. Creating, Using, Misusing, and Detecting Deep Fakes. Journal of Online Trust and Safety 1, 4 (2022).","journal-title":"Journal of Online Trust and Safety"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1007\/s11042-019-08115-w"},{"volume-title":"Detection of AI-Generated Synthetic Faces","author":"Gragnaniello Diego","unstructured":"Diego Gragnaniello , Francesco Marra , and Luisa Verdoliva . 2022. Detection of AI-Generated Synthetic Faces . Springer International Publishing , Cham , 191\u2013212. https:\/\/doi.org\/10.1007\/978-3-030-87664-7_9 10.1007\/978-3-030-87664-7_9 Diego Gragnaniello, Francesco Marra, and Luisa Verdoliva. 2022. Detection of AI-Generated Synthetic Faces. Springer International Publishing, Cham, 191\u2013212. https:\/\/doi.org\/10.1007\/978-3-030-87664-7_9","key":"e_1_3_2_1_15_1"},{"key":"e_1_3_2_1_16_1","volume-title":"ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2904\u20132908","author":"Guo Hui","year":"2022","unstructured":"Hui Guo , Shu Hu , Xin Wang , Ming-Ching Chang , and Siwei Lyu . 2022 . Eyes tell all: Irregular pupil shapes reveal GAN-generated faces . In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2904\u20132908 . Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, and Siwei Lyu. 2022. Eyes tell all: Irregular pupil shapes reveal GAN-generated faces. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2904\u20132908."},{"unstructured":"Drew Harwell. 2019. An artificial-intelligence first: Voice-mimicking software reportedly used in a major theft. https:\/\/www.washingtonpost.com\/technology\/2019\/09\/04\/an-artificial-intelligence-first-voice-mimicking-software-reportedly-used-major-theft\/  Drew Harwell. 2019. An artificial-intelligence first: Voice-mimicking software reportedly used in a major theft. https:\/\/www.washingtonpost.com\/technology\/2019\/09\/04\/an-artificial-intelligence-first-voice-mimicking-software-reportedly-used-major-theft\/","key":"e_1_3_2_1_17_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_18_1","DOI":"10.1109\/MSP.2017.2741510"},{"unstructured":"Alex Hughes. 2023. Why AI-generated hands are the stuff of nightmares explained by a scientist. https:\/\/www.sciencefocus.com\/future-technology\/why-ai-generated-hands-are-the-stuff-of-nightmares-explained-by-a-scientist\/  Alex Hughes. 2023. Why AI-generated hands are the stuff of nightmares explained by a scientist. https:\/\/www.sciencefocus.com\/future-technology\/why-ai-generated-hands-are-the-stuff-of-nightmares-explained-by-a-scientist\/","key":"e_1_3_2_1_19_1"},{"unstructured":"IBM. 2020. What is natural language processing?https:\/\/www.ibm.com\/topics\/natural-language-processing  IBM. 2020. What is natural language processing?https:\/\/www.ibm.com\/topics\/natural-language-processing","key":"e_1_3_2_1_20_1"},{"unstructured":"Todd Jones. 2022. The 12 Latest Types of Social Engineering Attacks. https:\/\/www.aura.com\/learn\/types-of-social-engineering-attacks  Todd Jones. 2022. The 12 Latest Types of Social Engineering Attacks. https:\/\/www.aura.com\/learn\/types-of-social-engineering-attacks","key":"e_1_3_2_1_21_1"},{"unstructured":"Jan\u00a0Hendrik Kirchner Lama Ahmad Scott Aaronson and Jan Leike. 2023. New AI classifier for indicating AI-written text. https:\/\/openai.com\/blog\/new-ai-classifier-for-indicating-ai-written-text  Jan\u00a0Hendrik Kirchner Lama Ahmad Scott Aaronson and Jan Leike. 2023. New AI classifier for indicating AI-written text. https:\/\/openai.com\/blog\/new-ai-classifier-for-indicating-ai-written-text","key":"e_1_3_2_1_22_1"},{"key":"e_1_3_2_1_23_1","volume-title":"Image quality assessment based fake face detection. Multimedia Tools and Applications","author":"Kiruthika S","year":"2022","unstructured":"S Kiruthika and V Masilamani . 2022. Image quality assessment based fake face detection. Multimedia Tools and Applications ( 2022 ). S Kiruthika and V Masilamani. 2022. Image quality assessment based fake face detection. Multimedia Tools and Applications (2022)."},{"unstructured":"Anita Kivindyo. 2023. What are Generative Pre-trained Transformers (GPTs)?https:\/\/medium.com\/@anitakivindyo\/what-are-generative-pre-trained-transformers-gpts-b37a8ad94400  Anita Kivindyo. 2023. What are Generative Pre-trained Transformers (GPTs)?https:\/\/medium.com\/@anitakivindyo\/what-are-generative-pre-trained-transformers-gpts-b37a8ad94400","key":"e_1_3_2_1_24_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_25_1","DOI":"10.1109\/WIFS.2018.8630787"},{"key":"e_1_3_2_1_26_1","volume-title":"Exposing deepfake videos by detecting face warping artifacts. arXiv preprint arXiv:1811.00656","author":"Li Yuezun","year":"2018","unstructured":"Yuezun Li and Siwei Lyu . 2018. Exposing deepfake videos by detecting face warping artifacts. arXiv preprint arXiv:1811.00656 ( 2018 ). Yuezun Li and Siwei Lyu. 2018. Exposing deepfake videos by detecting face warping artifacts. arXiv preprint arXiv:1811.00656 (2018)."},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 18187\u201318196","author":"Liao Wentong","year":"2022","unstructured":"Wentong Liao , Kai Hu , Michael\u00a0Ying Yang , and Bodo Rosenhahn . 2022 . Text to image generation with semantic-spatial aware GAN . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 18187\u201318196 . Wentong Liao, Kai Hu, Michael\u00a0Ying Yang, and Bodo Rosenhahn. 2022. Text to image generation with semantic-spatial aware GAN. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 18187\u201318196."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_28_1","DOI":"10.1109\/WACVW.2019.00020"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_29_1","DOI":"10.1145\/3425780"},{"key":"e_1_3_2_1_30_1","volume-title":"Deep learning for deepfakes creation and detection. arXiv preprint arXiv:1909.11573 1","author":"Nguyen Thanh\u00a0Thi","year":"2019","unstructured":"Thanh\u00a0Thi Nguyen , Cuong\u00a0 M Nguyen , Dung\u00a0Tien Nguyen , Duc\u00a0Thanh Nguyen , and Saeid Nahavandi . 2019. Deep learning for deepfakes creation and detection. arXiv preprint arXiv:1909.11573 1 ( 2019 ), 2. Thanh\u00a0Thi Nguyen, Cuong\u00a0M Nguyen, Dung\u00a0Tien Nguyen, Duc\u00a0Thanh Nguyen, and Saeid Nahavandi. 2019. Deep learning for deepfakes creation and detection. arXiv preprint arXiv:1909.11573 1 (2019), 2."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_31_1","DOI":"10.1016\/j.cviu.2022.103525"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_32_1","DOI":"10.1073\/pnas.2120481119"},{"key":"e_1_3_2_1_33_1","volume-title":"DeepFake detection based on discrepancies between faces and their context","author":"Nirkin Yuval","year":"2021","unstructured":"Yuval Nirkin , Lior Wolf , Yosi Keller , and Tal Hassner . 2021. DeepFake detection based on discrepancies between faces and their context . IEEE Transactions on Pattern Analysis and Machine Intelligence ( 2021 ). Yuval Nirkin, Lior Wolf, Yosi Keller, and Tal Hassner. 2021. DeepFake detection based on discrepancies between faces and their context. IEEE Transactions on Pattern Analysis and Machine Intelligence (2021)."},{"unstructured":"OpenAi. 2023. GPT-4. https:\/\/openai.com\/research\/gpt-4  OpenAi. 2023. GPT-4. https:\/\/openai.com\/research\/gpt-4","key":"e_1_3_2_1_34_1"},{"unstructured":"Tutorials Point. 2021. Types of penetration testing. https:\/\/tutorialspoint.com\/penetration_testing\/types_of_penetration_testing.htm  Tutorials Point. 2021. Types of penetration testing. https:\/\/tutorialspoint.com\/penetration_testing\/types_of_penetration_testing.htm","key":"e_1_3_2_1_35_1"},{"key":"e_1_3_2_1_36_1","volume-title":"International Conference on Machine Learning. PMLR, 8821\u20138831","author":"Ramesh Aditya","year":"2021","unstructured":"Aditya Ramesh , Mikhail Pavlov , Gabriel Goh , Scott Gray , Chelsea Voss , Alec Radford , Mark Chen , and Ilya Sutskever . 2021 . Zero-shot text-to-image generation . In International Conference on Machine Learning. PMLR, 8821\u20138831 . Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021. Zero-shot text-to-image generation. In International Conference on Machine Learning. PMLR, 8821\u20138831."},{"key":"e_1_3_2_1_37_1","volume-title":"International conference on machine learning. PMLR, 1060\u20131069","author":"Reed Scott","year":"2016","unstructured":"Scott Reed , Zeynep Akata , Xinchen Yan , Lajanugen Logeswaran , Bernt Schiele , and Honglak Lee . 2016 . Generative adversarial text to image synthesis . In International conference on machine learning. PMLR, 1060\u20131069 . Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee. 2016. Generative adversarial text to image synthesis. In International conference on machine learning. PMLR, 1060\u20131069."},{"unstructured":"Sensity. 2022. the Deepfake Offensive Toolkit. https:\/\/github.com\/sensity-ai\/dot\/blob\/main\/README.md  Sensity. 2022. the Deepfake Offensive Toolkit. https:\/\/github.com\/sensity-ai\/dot\/blob\/main\/README.md","key":"e_1_3_2_1_38_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_39_1","DOI":"10.1145\/2929464.2929475"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1109\/MITP.2020.2985492","article-title":"All around me are synthetic faces\u201d: the mad world of AI-generated media","volume":"22","author":"Whittaker Lucas","year":"2020","unstructured":"Lucas Whittaker , Tim\u00a0 C Kietzmann , Jan Kietzmann , and Amir Dabirian . 2020 . \u201c All around me are synthetic faces\u201d: the mad world of AI-generated media . IT Professional 22 , 5 (2020), 90 \u2013 99 . Lucas Whittaker, Tim\u00a0C Kietzmann, Jan Kietzmann, and Amir Dabirian. 2020. \u201cAll around me are synthetic faces\u201d: the mad world of AI-generated media. IT Professional 22, 5 (2020), 90\u201399.","journal-title":"IT Professional"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_41_1","DOI":"10.1016\/j.future.2021.06.043"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_42_1","DOI":"10.1145\/3335203.3335724"},{"unstructured":"Timur Yunusov. 2022. How I used deepfakes to bypass security verifications in a bank. https:\/\/www.finextra.com\/blogposting\/22795\/how-i-used-deepfakes-to-bypass-security-verifications-in-a-bank  Timur Yunusov. 2022. How I used deepfakes to bypass security verifications in a bank. https:\/\/www.finextra.com\/blogposting\/22795\/how-i-used-deepfakes-to-bypass-security-verifications-in-a-bank","key":"e_1_3_2_1_43_1"},{"key":"e_1_3_2_1_44_1","volume-title":"Deepfakes: Detecting forged and synthetic media content using machine learning. In Artificial Intelligence in Cyber Security: Impact and Implications","author":"Zobaed Sm","year":"2021","unstructured":"Sm Zobaed , Fazle Rabby , Istiaq Hossain , Ekram Hossain , Sazib Hasan , Asif Karim , and Khan\u00a0Md Hasib . 2021 . Deepfakes: Detecting forged and synthetic media content using machine learning. In Artificial Intelligence in Cyber Security: Impact and Implications . Springer , 177\u2013201. Sm Zobaed, Fazle Rabby, Istiaq Hossain, Ekram Hossain, Sazib Hasan, Asif Karim, and Khan\u00a0Md Hasib. 2021. Deepfakes: Detecting forged and synthetic media content using machine learning. In Artificial Intelligence in Cyber Security: Impact and Implications. Springer, 177\u2013201."},{"key":"e_1_3_2_1_45_1","first-page":"1","article-title":"A Quantitative Analysis of Offensive Cyber Operation (OCO) Automation Tools","volume":"42","author":"Zurowski Samuel","year":"2022","unstructured":"Samuel Zurowski , George Lord , and Ibrahim Baggili . 2022 . A Quantitative Analysis of Offensive Cyber Operation (OCO) Automation Tools . Association for Computing Machinery 42 (2022), 1 ,11. Samuel Zurowski, George Lord, and Ibrahim Baggili. 2022. A Quantitative Analysis of Offensive Cyber Operation (OCO) Automation Tools. Association for Computing Machinery 42 (2022), 1,11.","journal-title":"Association for Computing Machinery"}],"event":{"sponsor":["SIGSAC ACM Special Interest Group on Security, Audit, and Control"],"acronym":"ASIA CCS '23","name":"ASIA CCS '23: ACM Asia Conference on Computer and Communications Security","location":"Melbourne VIC Australia"},"container-title":["The 2nd Workshop on the security implications of Deepfakes and Cheapfakes"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3595353.3595886","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3595353.3595886","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T22:48:39Z","timestamp":1750286919000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3595353.3595886"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,10]]},"references-count":46,"alternative-id":["10.1145\/3595353.3595886","10.1145\/3595353"],"URL":"https:\/\/doi.org\/10.1145\/3595353.3595886","relation":{},"subject":[],"published":{"date-parts":[[2023,7,10]]},"assertion":[{"value":"2023-09-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}