Deploying model obfuscation: towards the privacy of decision-making models on shared platforms

The automation of the industrial paradigms characterizes the era of Industry 4.0. The implementation nuances involve data and model sharing among allies and partners working on the same domain. Privacy and security of data and models are fundamental necessities that must be satisfied for this protocol's proper functioning. To this end, we propose a conceptual and algorithmic framework of a model obfuscation scheme. It is built upon the extant data obfuscation paradigm. The future work lies with the implementation and establishment of its viability. This research is expected to develop into deployable model obfuscation technique which practitioners from the industrial domain can adopt.

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Journal
SPIRE - Sciences Po Institutional REpository
Published
2024-08-16
Primary Topic
Privacy-Preserving Technologies in Data
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article
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article

Deploying model obfuscation: towards the privacy of decision-making models on shared platforms

Sengupta Kausik, Sadhukhan Payel, Chakraborty Tanujit
SPIRE - Sciences Po Institutional REpository
Privacy-Preserving Technologies in Data
article

Deploying model obfuscation: towards the privacy of decision-making models on shared platforms

Sengupta Kausik, Sadhukhan Payel, Chakraborty Tanujit
article en

Abstract

The automation of the industrial paradigms characterizes the era of Industry 4.0. The implementation nuances involve data and model sharing among allies and partners working on the same domain. Privacy and security of data and models are fundamental necessities that must be satisfied for this protocol's proper functioning. To this end, we propose a conceptual and algorithmic framework of a model obfuscation scheme. It is built upon the extant data obfuscation paradigm. The future work lies with the implementation and establishment of its viability. This research is expected to develop into deployable model obfuscation technique which practitioners from the industrial domain can adopt.

SPIRE - Sciences Po Institutional REpository
Sorbonne University Abu Dhabi (AE)
Peace, Justice and strong institutions
Openalex Percentile: Top 79%
Privacy-Preserving Technologies in Data
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