IJCNN 2020 Special Session on Robustness and Trustworthiness in Deep Learning

https://sites.google.com/view/robustness-in-deep-learning/home

Scope and Aim

The special session is aimed to update the research community with the current challenges, recent progress, and future outlook related to robustness and trustworthiness issues in deep learning. The estimation of uncertainty or confidence in the predictive decisions is an integral part of a robust and trustworthy autonomous system — potential examples include medical diagnosis, security systems, self-driving, financial decision-making, and smart and connected cities. Currently, adversarial examples, i.e., inputs to machine learning models designed to cause the model to make a mistake, are limiting the wide-spread use of these models in real-world applications. Bayesian techniques may provide one way to introduce uncertainties in learning systems by defining probability distributions over unknown parameters and make these models robust to adversarial attacks. This special session will focus on uncertainty estimation, robustness, and trustworthiness techniques as applied to modern learning.

Topics Covered

The aim of the special session on "Robustness and Trustworthiness in Deep Learning" is to provide a forum for engineers, scientists, and researchers of this field to exchange the latest advances in theories and experiments. Researchers are invited to submit original and unpublished theoretical and experimental results in the following and related areas.

-Robust learning in deep neural networks

-Uncertainty estimation in deep learning

-Bayesian approaches in deep learning

-Adversarial attacks and defenses

-Quantifying different types of uncertainty and types of robustness

-Applications of robustness and trustworthy deep learning

Important Dates

§  -Deadline of Full Paper Submission: January 15, 2020

§  -Notification of Paper Acceptance: March 15, 2020

§  -Camera Ready Submission of Accepted Papers: April 15, 2020

§  -IEEE IJCNN/WCCI 2020, Glasgow, Scotland, UK : July 19-24, 2020

Submission Guidelines

This special session will be held in 2020 International Joint Conference on Neural Networks-IJCNN (wcci2020.org/ijcnn-sessions/), a part of 2020 IEEE World Congress on Computational Intelligence (https://wcci2020.org/ ) (Glasgow, Scotland, United Kingdom, July 19-24, 2020). All papers should be prepared according to the IJCNN 2020 policy and should be submitted electronically using the conference website (https://wcci2020.org/ ) . To submit your paper to this special session, you will choose our special session on the submission page "Robustness and Trustworthiness in Deep Learning". All papers accepted and presented at IEEE IJCNN/WCCI 2020 will be included in the conference proceedings published by IEEE Explore, which are typically indexed by EI.

More information: https://sites.google.com/view/robustness-in-deep-learning/home