Search Results for author: Mohammadkazem Taram

Found 3 papers, 1 papers with code

Privacy in Deep Learning: A Survey

no code implementations25 Apr 2020 Fatemehsadat Mireshghallah, Mohammadkazem Taram, Praneeth Vepakomma, Abhishek Singh, Ramesh Raskar, Hadi Esmaeilzadeh

In this survey, we review the privacy concerns brought by deep learning, and the mitigating techniques introduced to tackle these issues.

Recommendation Systems

Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy

no code implementations26 Mar 2020 Fatemehsadat Mireshghallah, Mohammadkazem Taram, Ali Jalali, Ahmed Taha Elthakeb, Dean Tullsen, Hadi Esmaeilzadeh

We formulate this problem as a gradient-based perturbation maximization method that discovers this subset in the input feature space with respect to the functionality of the prediction model used by the provider.

Shredder: Learning Noise Distributions to Protect Inference Privacy

3 code implementations26 May 2019 Fatemehsadat Mireshghallah, Mohammadkazem Taram, Prakash Ramrakhyani, Dean Tullsen, Hadi Esmaeilzadeh

To address this challenge, this paper devises Shredder, an end-to-end framework, that, without altering the topology or the weights of a pre-trained network, learns additive noise distributions that significantly reduce the information content of communicated data while maintaining the inference accuracy.

Image Classification

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