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8 novembre 2019

[POSTDOC] CEA Tech, Bio-inspired Approach for Adversarial Machine Learning


Catégorie : Post-doctorant


CEA Tech (LETI, Grenoble) proposes a post-doctoral position on a Bio-inspired Approach for Adversarial Machine Learning.

 

The target of the subject is to analyze a bio-inspired approach based on the so-called Catastrophic Forgettingparadigm to better understand the inherent mechanisms of adversarial examples attacks and propose new defense scheme against such integrity flaws of classical Machine Learning models (here, deep neural networks).

Thus, the topic of the post-doctoral position gathers two major critical issues in the field of Machine Learning and more particularly for deep neural networks:

The innovative idea of the project associated to this post-doctoral position is to use research from Neuroscience focused on Catastrophic Forgetting to design and evaluate new defense strategies against adversarial examples.

The main goal of the post-doctoral work will be to investigate the use of specific networks associated to reinjection processes, as developed in a human memory model and explore how the reinjection procedure use to avoid the catastrophic forgetting issue can alleviate the number of miss-classifications produced by adversarial attacks.

PLACE : CEA Tech, GRENOBLE

CONTACTS :

https://academicpositions.com/ad/cea-tech/2019/post-doc-bio-inspired-approach-for-adversarial-machine-learning/134800

 

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