Adversarial Multimedia Forensics
暫譯: 對抗性多媒體取證

本書探討數位鑑識、安全性和機器學習的各個方面，同時提供對不斷演變的多媒體鑑識和數據安全領域的寶貴見解。本書的內容可以總結為兩個主要領域。第一個領域主要針對與數位影像鑑識相關的技術和方法論。它討論了影像操控檢測的先進技術，包括使用深度學習架構生成和操控合成衛星影像。本書還探討了在不利條件下的臉部識別方法以及鑑識在刑事調查中的重要性。此外，本書強調了應用於照片和視頻的反鑑識措施，重點關注其有效性和權衡。

本書的第二個領域聚焦於更廣泛的安全性領域，包括合成人聲的檢測、安全的深度神經網絡（DNN）以及在機器學習安全背景下的聯邦學習。它研究了使用神經聲碼器工件檢測合成人聲的新方法，並探討了在對抗性攻擊面前，聯邦學習的脆弱性和安全挑戰。此外，本書深入探討了語言隱寫術和隱寫分析的領域，討論了利用深度學習和自然語言處理來增強有效載荷和檢測準確性的演變技術。

總體而言，本書提供了對不斷演變的數位鑑識和安全領域的全面概述，使其成為對影像鑑識、機器學習安全和信息保護感興趣的研究人員和學生的寶貴資源。它為讀者提供了最新的知識和工具，以應對數位環境所帶來的複雜挑戰。在這一相關領域工作的專業人士也會發現本書是一個有價值的資源。

Ehsan Nowroozi is a Senior Lecturer (Associate Professor) at Ravensbourne University London, Department of Business and Computing, London, UK. He received his doctorate from Siena University in 2020. He is a highly skilled researcher in the field of artificial intelligence for cybersecurity that addresses areas such as adversarial machine learning (Adv-ML), adversarial multimedia forensics (Adv-MF), network security, and digital forensics (DF). To makes AI systems more secure and resilient, Ehsan's work emphasizes determining and defending against adversarial threats. His research has had a significant impact on the development of AI-cyber and the ability to defend against cyber threats. He had four postdocs in different high-prestige universities, including a Research Fellow at the Centre for Secure Information Technologies (CSIT) at Queen's University Belfast in the United Kingdom, a Research Fellow at the Security and Privacy Research Group (SPRITZ) at the University of Padua in Italy, a Research Fellow at the Visual Information Processing and Protection (VIPP) at the University of Siena in Italy, a Research Fellow at the Sabanci University in Turkey. He was also an assistant professor at Bahcesehir University, Istanbul, Turkey. He has worked on a variety of projects funded by renowned institutions, such as DARPA, the Air Force Research Laboratory (AFRL) of the U.S. government, the Italian Ministry of University and Research (MUR), and THALES United Kingdom. He serves as a reviewer for prominent journals, such as IEEE TNSM, IEEE TIFS, and IEEE TNNLS. In addition, he has been a senior member of the Institute of Electrical and Electronics Engineers (IEEE) since 2022 and an ACM Professional member since 2023.

Dr. Kassem Kallas is a seasoned Research Scientist with expertise in the fields of Machine Learning (ML) and Artificial Intelligence (AI). He has a wealth of experience in applying these concepts to real-world problems. Dr. Kallas earned his Ph.D. in Information Engineering and Sciences from the University of Siena, Italy.He has worked on a variety of projects, including ones funded by renowned institutions such as DARPA, Air Force Research Laboratory (AFRL) of the U.S. government, and the Italian Ministry of University and Research (MUR) to research adversarial deep learning and adversarial signal processing. He worked on applying deep learning to wireless communication systems at the National Institute of Standards and Technology (NIST), USA.In addition to his academic and professional accomplishments, Dr. Kallas has gained valuable experience in the business and industrial sectors. He worked as an R&D scientist at ViDiTrust srl and AI consultant at Centrica-ImagineMore. Dr. Kallas is currently a research scientist at the French National Institute for Research in Digital Science and Technology (INRIA), where he continues to make significant contributions to the field. He has also been recognised for his achievements with the Best Paper Award at the Ninth International Conference on Advances in Multimedia (MMEDIA) in 2017 and top 3% paper award at ICASSP 2023. He is a Senior Member of IEEE and is part of the IEEE Young Professionals, IEEE Signal Processing Society, the European Association for Signal Processing (EURASIP), and Asia-Pacific Signal and Information Processing Association (APSIPA). In addition, he has been a reviewer at the IEEE WCNC'2016, IRACON-WS 2017, Inscrypt 2019 and iSES 2019 conferences and the IEEE Transactions on Information Forensics and Security (TIFS), IEEE Transactions on Signal Processing, EURASIP Journal on Information Security and National Institute of Standards and Technology (NIST) journal of research. He has been a technical committee - PC member at the 51st International Carnahan Conference on Security Technology ICCST 2017, and a Session Chair for NGN and Network Management at IARIA Ninth International Conferences on Advances in Multimedia (MMEDIA), 2017. He also participated in the ITU AI/ML in 5G 2020 Challenge and proposed an AI-based solution to the problem statement "Beam-Selection in Millimeter-Wave MIMO Systems". His research interests include Game-theoretic concepts for Adversarial Signal Processing, pattern recognition, and image processing for anti-counterfeiting applications, and Machine Learning security threats and defences. In his spare time, Dr. Kallas volunteers as a mentor at IEEE Collabortec. He is also pursuing an Executive Master of Business Administration (E-MBA) in Strategic Leadership at Valar Institute at Quantic School of Business and Technology to further enhance his expertise in the field of business.
Dr. Alireza Jolfaei is an Associate Professor in Cybersecurity and Networking in the College of Science and Engineering at Flinders University. He is a Senior Member of the IEEE and a Distinguished Speaker of the ACM on the topic of Cybersecurity. He has previously been a faculty member with Macquarie University and Federation University in Australia, and Temple University in the USA. He received a Ph.D. degree in Applied Cryptography from Griffith University, Gold Coast, Australia. His main research interest is in Cyber-Physical Systems Security, where he investigates the hidden interdependencies in industrial communication protocols and aims to provide fundamentally new methods for security-aware modelling, analysis and design of safety-critical cyber-physical systems in the presence of cyber-adversaries. He has been a chief investigator of several internal and external grants with a total amount exceeding $2,6 million. He successfully supervised eight HDR students to completion. He received the prestigious IEEE Australian Council award for his research paper published in the IEEE Transactions on Information Forensics and Security.

Ehsan Nowroozi 是倫敦拉文斯本大學商業與計算系的高級講師（副教授），位於英國倫敦。他於2020年在西耶那大學獲得博士學位。他在人工智慧（AI）與網路安全領域是一位技術精湛的研究者，專注於對抗性機器學習（adversarial machine learning, Adv-ML）、對抗性多媒體取證（adversarial multimedia forensics, Adv-MF）、網路安全和數位取證（digital forensics, DF）等領域。為了使AI系統更加安全和具韌性，Ehsan的研究強調確定和防禦對抗性威脅。他的研究對AI-網路安全的發展及防禦網路威脅的能力產生了重大影響。他曾在四所不同的高聲望大學擔任博士後研究員，包括英國貝爾法斯特女王大學的安全資訊技術中心（Centre for Secure Information Technologies, CSIT）、意大利帕多瓦大學的安全與隱私研究小組（Security and Privacy Research Group, SPRITZ）、意大利西耶那大學的視覺資訊處理與保護（Visual Information Processing and Protection, VIPP）以及土耳其薩班哲大學。他也曾擔任土耳其伊斯坦堡巴赫切希爾大學的助理教授。他參與了多個由知名機構資助的項目，如美國國防高級研究計畫局（DARPA）、美國空軍研究實驗室（Air Force Research Laboratory, AFRL）、意大利大學與研究部（Ministry of University and Research, MUR）及英國THALES。他擔任多本知名期刊的審稿人，如IEEE TNSM、IEEE TIFS和IEEE TNNLS。此外，自2022年以來，他已成為電氣與電子工程師學會（IEEE）的高級會員，並自2023年起成為ACM專業會員。

Kassem Kallas博士是一位經驗豐富的研究科學家，專長於機器學習（Machine Learning, ML）和人工智慧（Artificial Intelligence, AI）領域。他在將這些概念應用於現實世界問題方面擁有豐富的經驗。Kallas博士在意大利西耶那大學獲得資訊工程與科學的博士學位。他參與了多個項目，包括由知名機構資助的項目，如美國國防高級研究計畫局（DARPA）、美國空軍研究實驗室（AFRL）及意大利大學與研究部（MUR），研究對抗性深度學習和對抗性信號處理。他曾在美國國家標準與技術研究所（NIST）從事深度學習在無線通信系統中的應用。除了學術和專業成就外，Kallas博士在商業和工業領域也獲得了寶貴的經驗。他曾擔任ViDiTrust srl的研發科學家和Centrica-ImagineMore的AI顧問。Kallas博士目前是法國國家數位科學與技術研究所（INRIA）的研究科學家，繼續對該領域做出重要貢獻。他因在2017年第九屆國際多媒體進展會議（MMEDIA）上獲得最佳論文獎和在ICASSP 2023上獲得前3%論文獎而受到認可。他是IEEE的高級會員，並參與IEEE青年專業人士、IEEE信號處理學會、歐洲信號處理協會（EURASIP）和亞太信號與資訊處理協會（APSIPA）。此外，他曾擔任IEEE WCNC'2016、IRACON-WS 2017、Inscrypt 2019和iSES 2019會議的審稿人，以及IEEE資訊取證與安全期刊（TIFS）、IEEE信號處理期刊、EURASIP資訊安全期刊和國家標準與技術研究所（NIST）研究期刊的審稿人。他曾擔任第51屆國際卡納漢安全技術會議（ICCST 2017）的技術委員會-程序委員會成員，並在2017年第九屆國際多媒體進展會議（MMEDIA）擔任NGN和網路管理的會議主席。他還參加了ITU AI/ML在5G 2020挑戰賽，並提出了一個基於AI的解決方案，針對「毫米波MIMO系統中的波束選擇」的問題陳述。他的研究興趣包括對抗性信號處理的博弈論概念、反偽造應用的模式識別和影像處理，以及機器學習的安全威脅與防禦。在空閒時間，Kallas博士擔任IEEE Collabortec的導師。他目前也在Quantic商學院的Valar Institute攻讀戰略領導的高階工商管理碩士（E-MBA），以進一步提升他在商業領域的專業知識。

Alireza Jolfaei博士是弗林德斯大學科學與工程學院的網路安全與網路副教授。他是IEEE的高級會員，也是ACM的網路安全主題特邀演講者。他曾在澳大利亞的麥考瑞大學和聯邦大學，以及美國的天普大學擔任教職。他在澳大利亞黃金海岸的格里菲斯大學獲得應用密碼學的博士學位。他的主要研究興趣在於網路物理系統安全，研究工業通信協議中的隱藏相互依賴性，旨在提供根本性的新方法，以便在面對網路對手時進行安全意識的建模、分析和設計安全關鍵的網路物理系統。他是多個內部和外部資助計畫的首席研究員，總金額超過260萬美元。他成功指導了八名HDR學生完成學業。他因在IEEE資訊取證與安全期刊上發表的研究論文而獲得了IEEE澳大利亞委員會的榮譽獎。