6 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CR2019★ 3 cited
A Game-Theoretic Approach to Adversarial Linear Support Vector Classification
Farhad Farokhi
In this paper, we employ a game-theoretic model to analyze the interaction between an adversary and a classifier. There are two classes (i.e., positive and negative classes) to whi…
cs.CR2019★ 6 cited
The Value of Collaboration in Convex Machine Learning with Differential Privacy
Nan Wu, Farhad Farokhi, David Smith +1
In this paper, we apply machine learning to distributed private data owned by multiple data owners, entities with access to non-overlapping training datasets. We use noisy, differe…
math.OC2013★ 3 cited
A Faithful Distributed Implementation of Dual Decomposition and Average Consensus Algorithms
Takashi Tanaka, Farhad Farokhi, Cédric Langbort
We consider large scale cost allocation problems and consensus seeking problems for multiple agents, in which agents are suggested to collaborate in a distributed algorithm to find…