Federated Learning: Security and Privacy
暫譯: 聯邦學習：安全性與隱私

Somanath Tripathy received his PhD from IIT Guwahati in 2007. Currently, he is a professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Patna, where he has been a faculty member since December 2008. Prof. Tripathy has held significant administrative positions at IIT Patna, including Associate Dean of Academics (January 2016 - March 2017), Head, Computer Centre (November 2022-November 2023) and Associate Dean of Administration (July 2021 - November 2023). His research interests encompass Cybersecurity, Malware Detection, Secure Machine Learning, Lightweight Cryptography, and Blockchain. Tripathy holds two patents and has published over 130 research papers in reputed journals and conferences. He has led several projects as Principal Investigator, notably his team developed a malware detection app presented to the Bureau of Police Research and Development (BPRD) and the Ministry of Home Affairs (MHA) as part of a sponsored project. Tripathy is currently an editor of the IETE Technical Review and an associate editor of the journal Multimedia Tools and Applications.

Harsh Kasyap is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (BHU), Varanasi, India. He is also an honorary research fellow at WMG, University of Warwick, UK. Prior to that, Harsh was a Research Associate, working in the Alan Turing Institute London, where he established significant research collaborations with the HSBC, Bank of Italy and TNO, advancing the fields of data privacy, AI security and fairness. He obtained his Ph.D. from the IIT Patna, India. His Ph.D. thesis title was "Security and Privacy Preserving Techniques for Federated Learning". His research interests are Federated Learning, Machine Learning Security, Trustworthy AI, Privacy and Data Security.

Minghong Fang is a tenure-track Assistant Professor in the Department of Computer Science and Engineering at the University of Louisville. He was a Postdoctoral Associate in the Department of Electrical and Computer Engineering at Duke University from 2022 to 2024. He received his Ph.D. degree from the Department of Electrical and Computer Engineering at The Ohio State University in August 2022. He has published several high-impact research papers in top-tier security conferences, including the USENIX Security Symposium, the ACM Conference on Computer and Communications Security (CCS), and the Network and Distributed System Security (NDSS) Symposium. Notably, his USENIX Security 2020 paper was selected as one of the "Normalized Top-100 Security Papers Since 1981". His research interests broadly span various aspects of AI safety and security.

Somanath Tripathy 於2007年獲得印度理工學院古瓦哈提分校（IIT Guwahati）的博士學位。目前，他是印度理工學院巴特那分校（IIT Patna）計算機科學與工程系的教授，自2008年12月以來一直擔任教職。Tripathy教授在IIT Patna擔任過多個重要的行政職位，包括學術副院長（2016年1月 - 2017年3月）、計算中心主任（2022年11月 - 2023年11月）以及行政副院長（2021年7月 - 2023年11月）。他的研究興趣包括網絡安全、惡意軟體檢測、安全機器學習、輕量級加密技術和區塊鏈。Tripathy擁有兩項專利，並在知名期刊和會議上發表了超過130篇研究論文。他作為主要研究者領導了多個項目，特別是他的團隊開發了一款惡意軟體檢測應用，並將其呈現給警察研究與發展局（BPRD）和內政部（MHA）作為贊助項目的一部分。Tripathy目前是IETE技術評論的編輯，以及期刊《多媒體工具與應用》的副編輯。

Harsh Kasyap 是印度理工學院（BHU）瓦拉納西分校計算機科學與工程系的助理教授。他同時也是英國華威大學（University of Warwick）WMG的榮譽研究員。在此之前，Harsh曾擔任倫敦艾倫·圖靈研究所的研究助理，並與匯豐銀行（HSBC）、意大利銀行（Bank of Italy）和荷蘭國家研究機構（TNO）建立了重要的研究合作，推進了數據隱私、人工智慧安全和公平性等領域。他在印度IIT Patna獲得博士學位，博士論文題目為「聯邦學習的安全與隱私保護技術」。他的研究興趣包括聯邦學習、機器學習安全、可信的人工智慧、隱私和數據安全。

Minghong Fang 是路易斯維爾大學計算機科學與工程系的終身教職助理教授。他於2022年至2024年在杜克大學（Duke University）電氣與計算機工程系擔任博士後研究員。他於2022年8月在俄亥俄州立大學（The Ohio State University）獲得電氣與計算機工程博士學位。他在頂級安全會議上發表了幾篇高影響力的研究論文，包括USENIX安全研討會、ACM計算機與通信安全會議（CCS）以及網絡與分佈系統安全研討會（NDSS）。值得注意的是，他的USENIX安全2020論文被選為「自1981年以來的100篇標準化安全論文」之一。他的研究興趣廣泛涵蓋人工智慧安全與安全性的各個方面。