1 citations · 2 across the 5 of their papers we have counts for
5 papers · 1 filter
Enhancing Privacy, Neglecting Harms: An Analysis of Real-World Digital Privacy Incidents
Shannon Veitch, C. Shem, Lena Csomor +7
Privacy-enhancing technologies (PETs) have emerged as a technical means for providing individuals with greater control over their information. Yet despite the growing deployment of…
Adopt a PET! An Exploration of PETs, Policy, and Practicalities for Industry in Canada
Masoumeh Shafieinejad, Xi He, Bailey Kacsmar
Privacy is an instance of a social norm formed through legal, technical, and cultural dimensions. Institutions such as regulators, industry, and researchers act as societal agents…
PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting
Rasoul Akhavan Mahdavi, Nils Lukas, Faezeh Ebrahimianghazani +7
Two parties with private data sets can find shared elements using a Private Set Intersection (PSI) protocol without revealing any information beyond the intersection. Circuit PSI p…
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions
Abdulrahman Diaa, Lucas Fenaux, Thomas Humphries +9
Machine Learning as a Service (MLaaS) is an increasingly popular design where a company with abundant computing resources trains a deep neural network and offers query access for t…
Comprehension from Chaos: Towards Informed Consent for Private Computation
Bailey Kacsmar, Vasisht Duddu, Kyle Tilbury +2
Private computation, which includes techniques like multi-party computation and private query execution, holds great promise for enabling organizations to analyze data they and the…