Moti Yung

Moti Yung is affiliated with Columbia University in the United States and has contributed extensively to the field of computer science, with a particular focus on cryptography and data security. Their research encompasses diverse topics, ranging from cryptographic implementations to privacy-preserving technologies and algorithms applied to network security and user authentication systems.

Their recent published papers include:

• Dynamic Volume-Hiding Encrypted Multi-Maps with Applications to Searchable Encryption, 2023, Proceedings on Privacy Enhancing Technologies
• The Self-Anti-Censorship Nature of Encryption: On the Prevalence of Anamorphic Cryptography, 2023, Proceedings on Privacy Enhancing Technologies
• Seeking Foundations for the Science of Cyber Security, 2021, Information Systems Frontiers
• Special issue on security and privacy of blockchain technologies, 2020, International Journal of Information Security
• Eddystone-EID: Secure and Private Infrastructural Protocol for BLE Beacons, 2022, IEEE Transactions on Information Forensics and Security

Frequent coauthors include:

• Duong Hieu Phan
• Giuseppe Persiano
• Rongmao Chen
• Xinyi Huang
• Mirosław Kutyłowski

They have published multiple works in prominent venues, among which the most frequent are:

• Proceedings on Privacy Enhancing Technologies
• arXiv (Cornell University)
• Computer
• Information Systems Frontiers
• International Journal of Information Security

Moti Yung's book publications are notable and published primarily through Springer Science+Business Media and the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. The titles include:

• Information Security and Cryptology (2020, 2021, 2024)
• Science of Cyber Security (2021)
• Information and Communications Security (2023)
• Security and Privacy in Communication Networks (2021)
• Applied Cryptography and Network Security Second International Conference ACNS 2004 Yellow Mountain China June 8-11 2004 Proceedings (2021)

Their main fields of study encompass computer science broadly, with subfields in:

• Artificial Intelligence
• Information Systems
• Computational Theory and Mathematics
• Computer Networks and Communications
• Electrical and Electronic Engineering

Their primary research topics cover:

• Cryptography and Data Security
• Cryptographic Implementations and Security
• Privacy-Preserving Technologies in Data
• Complexity and Algorithms in Graphs
• Internet Traffic Analysis and Secure E-voting
• Adversarial Robustness in Machine Learning
• User Authentication and Security Systems