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Awareness, Adoption, and Misconceptions of Web Privacy Tools
Volume: 2021 Issue: 3 Pages: 308–333 DOI: Download PDF Abstract: Privacy and security tools can help users protect themselves online. Unfortunately, people are often unaware of such tools, and have potentially harmful misconceptions about the protections provided by the tools they know about.
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Peter Story*, Daniel Smullen, Yaxing Yao, Alessandro Acquisti, Lorrie ...
DOI 10.2478/popets-2021-0049 Received 2020-11-30; revised 2021-03-15; accepted 2021-03-16. *Corresponding Author: Peter Story: School of Computer Science, Carnegie Mellon University, E-mail: [email protected] Daniel Smullen, Lorrie Faith Cranor: School of Com-puter Science, Carnegie Mellon University
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PoPETs Proceedings — Automated Extraction and Presentation of Data ...
Volume: 2021 Issue: 2 Pages: 88–110 DOI: Download PDF Abstract: Privacy policies are documents required by law and regulations that notify users of the collection, use, and sharing of their personal information on services or applications.
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https://petsymposium.org/popets/2021/popets-2021-0…
SoK: Privacy-Preserving Collaborative Tree-based Model Learning
Keywords: decision-tree induction, collaborative learn-ing, privacy-preserving protocols, leakage analysis DOI 10.2478/popets-2021-0043 Received 2020-11-30; revised 2021-03-15; accepted 2021-03-16.
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PoPETs Proceedings — Three Years Later: A Study of MAC Address ...
Volume: 2021 Issue: 3 Pages: 164–181 DOI: https://doi.org/10.2478/popets-2021-0042 Download PDF Abstract: Mobile device manufacturers and operating system developers increasingly deploy MAC address randomization to protect user privacy and prevent adversaries from tracking persistent hardware identifiers.
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PoPETs Proceedings — Privacy-Preserving Approximate k-Nearest-Neighbors ...
Volume: 2021 Issue: 4 Pages: 549–574 DOI: https://doi.org/10.2478/popets-2021-0084 Download PDF Abstract: We study the problem of privacy-preserving approximate kNN search in an outsourced environment — the client sends the encrypted data to an untrusted server and later can perform secure approximate kNN search and updates.
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https://petsymposium.org/popets/2021/popets-2021-0…
Blocking Without Breaking: Identification and Mitigation of Non ...
Proceedings on Privacy Enhancing Technologies ; 2021 (4):369–388 Anna Maria Mandalari*, Daniel J. Dubois, Roman Kolcun, Muhammad Talha Paracha, Hamed Haddadi, and David Choffnes
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https://petsymposium.org/popets/2021/popets-2021-0…
José Cabrero-Holgueras* and Sergio Pastrana SoK:Privacy ...
Proceedings on Privacy Enhancing Technologies ; 2021 (4):139–162 José Cabrero-Holgueras* and Sergio Pastrana
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https://petsymposium.org/popets/2021/popets-2021-0…
PoPETs Proceedings — GANDaLF: GAN for Data-Limited Fingerprinting
Volume: 2021 Issue: 2 Pages: 305–322 DOI: Download PDF Abstract: We introduce Generative Adversarial Networks for Data-Limited Fingerprinting (GANDaLF), a new deep-learning-based technique to perform Website Fingerprinting (WF) on Tor traffic.
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PoPETs Proceedings — EL PASSO: Efficient and Lightweight Privacy ...
Volume: 2021 Issue: 2 Pages: 70–87 DOI: Download PDF Abstract: Anonymous credentials are a solid foundation for privacy-preserving Single Sign-On (SSO). They enable unlinkable authentication across domains and allow users to prove their identity without revealing more than necessary.