- Valentino Rizzo, Stefano Traverso, Marco Mellia. Unveiling Web Fingerprinting in the Wild Via Code Mining and Machine Learning. PoPETs, 2021(1):43-63, 2021.
- Theodor Schnitzler, Muhammad Shujaat Mirza, Markus Dürmuth, Christina Pöpper. SoK: Managing Longitudinal Privacy of Publicly Shared Personal Online Data. PoPETs, 2021(1):229-249, 2021.
- Mark Abspoel, Daniel Escudero 0001, Nikolaj Volgushev. Secure training of decision trees with continuous attributes. PoPETs, 2021(1):167-187, 2021.
- Arezoo Rajabi, Rakesh B. Bobba, Mike Rosulek, Charles V. Wright, Wu-chi Feng. On the (Im)Practicality of Adversarial Perturbation for Image Privacy. PoPETs, 2021(1):85-106, 2021.
- Miguel Ambrona, Dario Fiore, Claudio Soriente. Controlled Functional Encryption Revisited: Multi-Authority Extensions and Efficient Schemes for Quadratic Functions. PoPETs, 2021(1):21-42, 2021.
- A. K. M. Mubashwir Alam, Sagar Sharma, Keke Chen. SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications. PoPETs, 2021(1):5-20, 2021.
- Leonardo Babun, Z. Berkay Celik, Patrick D. McDaniel, A. Selcuk Uluagac. Real-time Analysis of Privacy-(un)aware IoT Applications. PoPETs, 2021(1):145-166, 2021.
- Stan Gurtler, Ian Goldberg. SoK: Privacy-Preserving Reputation Systems. PoPETs, 2021(1):107-127, 2021.
- Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin. Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning. PoPETs, 2021(1):188-208, 2021.
- Ashish Dandekar, Debabrota Basu, Stéphane Bressan. Differential Privacy at Risk: Bridging Randomness and Privacy Budget. PoPETs, 2021(1):64-84, 2021.