Privacy Enhancing Technologies Symposium

Overview

The annual Privacy Enhancing Technologies Symposium (PETS) brings together experts from around the world to present and discuss recent advances and new perspectives on research in privacy technologies. The 26th PETS is expected to be a hybrid event with a physical gathering held in Calgary, Canada, and a concurrent virtual event. Papers undergo a journal-style reviewing process, and accepted papers are published in the journal Proceedings on Privacy Enhancing Technologies (PoPETs). Authors can submit papers to PoPETs four times a year, every three months, and are notified of the decisions about two months after submission. Authors will receive a decision of accept, revise, or reject. Papers submitted to PoPETs should present novel practical and/or theoretical research into the requirements, design, analysis, experimentation, or fielding of privacy-enhancing technologies and the social, cultural, legal, or situational contexts in which they are used. PoPETs is also open to interdisciplinary research examining people’s and communities’ privacy needs, preferences, and expectations as long as it is clear how these findings can impact the design, development, or deployment of technology with privacy implications. Suggested topics include: Anonymous communication and censorship resistance, Blockchain privacy, Building and deploying privacy-enhancing systems, Cloud computing and privacy, Compliance with privacy laws and regulations, Cryptographic tools for privacy, Data protection technologies, Defining and quantifying privacy, Differential privacy and private data analysis, Economics and game-theoretical approaches to privacy, Forensics and privacy, Genomic and medical privacy, Human factors, usability, and user-centered design of privacy technologies, Information leakage, data correlation, and abstract attacks on privacy, Interdisciplinary research connecting privacy to economics, law, psychology, etc., Internet of Things privacy, Location privacy, Machine learning and privacy, Measurement of privacy in real-world systems, Mobile devices and privacy, Policy languages and tools for privacy, Profiling and data mining, Social network privacy, Surveillance, Traffic analysis, Transparency, fairness, robustness, and abuse in privacy systems, Web privacy.

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