Keywords: Secure Multi-Party Computation, Privacy-preserving deep learning DOI 10.2478/popets-2019-0035 Received 2018-11-30; revised 2019-03-15; accepted 2019-03-16.
Volume: 2019 Issue: 4 Pages: 292–310 DOI: https://doi.org/10.2478/popets-2019-0070 Download PDF Abstract: In recent years, there have been several works that use website fingerprinting techniques to enable a local adversary to determine which website a Tor user visits.
Volume: 2019 Issue: 3 Pages: 26–49 DOI: Download PDF Abstract: Neural Networks (NN) provide a powerful method for machine learning training and inference. To effectively train, it is desirable for multiple parties to combine their data – however, doing so conflicts with data privacy.
Proceedings on Privacy Enhancing Technologies ; 2019 (3):66–86 an Zimmeck*, Peter Story*, Daniel Smullen, Abhilasha Ravichander, Ziqi Wang, Joel Reidenberg,
p1-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning Authors: Se Eun Oh (University of Minnesota), Saikrishna Sunkam (University of Minnesota), Nicholas Hopper (University of Minnesota) Volume: 2019 Issue: 3 Pages: 191–209 DOI: https://doi.org/10.2478/popets-2019-0043 Download PDF
Authors: Johannes K Becker (Boston University), David Li (Boston University), David Starobinski (Boston University) Volume: 2019 Issue: 3 Pages: 50–65 DOI: https://doi.org/10.2478/popets-2019-0036 Download PDF Abstract: Bluetooth Low Energy (BLE) devices use public (non-encrypted) advertising channels to announce their presence to other devices.
Volume: 2019 Issue: 3 Pages: 66–86 DOI: Download PDF Abstract: The app economy is largely reliant on data collection as its primary revenue model. To comply with legal requirements, app developers are often obligated to notify users of their privacy practices in privacy policies.
Volume: 2019 Issue: 4 Pages: 6–33 DOI: Download PDF Abstract: Most encrypted data formats leak metadata via their plaintext headers, such as format version, encryption schemes used, number of recipients who can decrypt the data, and even the recipients’ identities.
