55 citations · 220 across the 35 of their papers we have counts for
8 papers · 1 filter
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference
Jiaxiang Liu, Simon Oya, Florian Kerschbaum
Differentially private training algorithms provide protection against one of the most popular attacks in machine learning: the membership inference attack. However, these privacy a…
IHOP: Improved Statistical Query Recovery against Searchable Symmetric Encryption through Quadratic Optimization
Simon Oya, Florian Kerschbaum
Effective query recovery attacks against Searchable Symmetric Encryption (SSE) schemes typically rely on auxiliary ground-truth information about the queries or dataset. Query reco…
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)
Nils Lukas, Edward Jiang, Xinda Li +1
Deep Neural Network (DNN) watermarking is a method for provenance verification of DNN models. Watermarking should be robust against watermark removal attacks that derive a surrogat…
Selective MPC: Distributed Computation of Differentially Private Key-Value Statistics
Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch +1
Key-value data is a naturally occurring data type that has not been thoroughly investigated in the local trust model. Existing local differentially private (LDP) solutions for comp…
Equi-Joins Over Encrypted Data for Series of Queries
Masoumeh Shafieinejad, Suraj Gupta, Jin Yang Liu +2
Encryption provides a method to protect data outsourced to a DBMS provider, e.g., in the cloud. However, performing database operations over encrypted data requires specialized enc…
PCOR: Private Contextual Outlier Release via Differentially Private Search
Masoumeh Shafieinejad, Florian Kerschbaum, Ihab F. Ilyas
Outlier detection plays a significant role in various real world applications such as intrusion, malfunction, and fraud detection. Traditionally, outlier detection techniques are a…