97 citations · 163 across the 34 of their papers we have counts for
7 papers · 1 filter
Privacy-Preserving State Estimation with Crowd Sensors: An Information-Theoretic Respective
Farhad Farokhi
Privacy-preserving state estimation for linear time-invariant dynamical systems with crowd sensors is considered. At any time step, the estimator has access to measurements from a…
Sharing in a Trustless World: Privacy-Preserving Data Analytics with Potentially Cheating Participants
Tham Nguyen, Hassan Jameel Asghar, Raghav Bhakar +2
Lack of trust between organisations and privacy concerns about their data are impediments to an otherwise potentially symbiotic joint data analysis. We propose DataRing, a data sha…
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification
Farhad Farokhi
We consider the problem of publicly releasing a dataset for support vector machine classification while not infringing on the privacy of data subjects (i.e., individuals whose priv…
Developing Non-Stochastic Privacy-Preserving Policies Using Agglomerative Clustering
Ni Ding, Farhad Farokhi
We consider a non-stochastic privacy-preserving problem in which an adversary aims to infer sensitive information from publicly accessible data without using statistics. We…
Differential Privacy for Evolving Almost-Periodic Datasets with Continual Linear Queries: Application to Energy Data Privacy
Farhad Farokhi
For evolving datasets with continual reports, the composition rule for differential privacy (DP) dictates that the scale of DP noise must grow linearly with the number of the queri…
Taking a Lesson from Quantum Particles for Statistical Data Privacy
Farhad Farokhi
Privacy is under threat from artificial intelligence revolution fueled by unprecedented abundance of data. Differential privacy, an established candidate for privacy protection, is…
Temporally Discounted Differential Privacy for Evolving Datasets on an Infinite Horizon
Farhad Farokhi
We define discounted differential privacy, as an alternative to (conventional) differential privacy, to investigate privacy of evolving datasets, containing time series over an unb…