[visionlist] Call for Papers: ICMR 2022 Special Session on Adversarial Learning for Multimedia Understanding and Retrieval

[Emre Celebi]

Call for Papers

Special Session: Adversarial Learning for Multimedia Understanding and
Retrieval
Special Session Homepage: https://al4mur.github.io/
Conference: ACM International Conference on Multimedia Retrieval (ICMR 2022)
Location/Date: Newark, NJ, USA; June 27-30, 2022
Conference Homepage: https://www.icmr2022.org/

Introduction:
=============
Nowadays we are living in the era of big multimedia data. The adversarial
characteristic naturally lives in many multimedia understanding and
retrieval models. Adversarial machine learning has become a cutting-edge
technique that attempts to fool the learning systems by generating
deceptive data with imperceptible perturbations. Particularly, the
existence of adversarial examples destroys the reliability and robustness
of deep neural networks, which almost impedes the practical deployment of
deep learning models in various multimedia systems. It has been well
demonstrated that the existing deep learning models are vulnerable to
carefully crafted attacks from malicious adversaries. Moreover, such a
security challenge goes well beyond the simple multimedia systems that
could all potentially be subject to adversarial attacks.

This ICMR special session is devoted to the publication of high-quality
research papers on adversarial learning for various multimedia
understanding and retrieval models. The special session will seek original
contributions, which address the key challenges and problems. The topics of
interest include, but are not limited to:

# Adversarial learning for large-scale image/video/music/audio retrieval
# Adversarial learning for cross-modal analysis and retrieval
# Adversarial learning for image/video classification/detection/tracking
# Adversarial learning techniques on multi-modal learning
# Advanced techniques for generating adversarial examples
# Adversarial attacks and defenses in multi-modal medical analysis
# Adversarial attacks and defenses for autonomous vehicles
# Privacy protection architectures in multi-modal data analysis
# Adversarial examples for multi-modal biomedical tasks
# Optimization algorithms in adversarial attacks and defenses
# Security issues in deep learning-based multimedia database systems
# New benchmark datasets for multimedia adversarial learning

Important Dates:
================
# Paper Submission Deadline: January 20, 2022
# Notification of Acceptance: March 30, 2022
# Deadline for Camera Ready: TBD
# Main Conference: June 27-30, 2022

Submission Guidelines:
======================
Each full paper should be limited to 6-8 pages (6 pages limit +
references). Submitted papers should present original, unpublished work,
relevant to one of the topics of the Special Session. Following the
reviewing procedure of ICMR, all submitted papers will be evaluated on the
basis of relevance, significance of contribution, technical quality,
scholarship, and quality of presentation, by at least three independent
reviewers.

Submissions should conform to the submission instructions of the ICMR 2022
Paper submission section (https://www.icmr2022.org/authors/submissions/).

Special Session Organizers:
===========================
# Zheng Zhang, A/Prof., Harbin Institute of Technology, Shenzhen, China,
email: darrenzz219 at gmail.com
# Lei Zhu, Prof., Shandong Normal University, China, email:
leizhu0608 at gmail.com
# Shuihua Wang, Dr., University of Leicester, UK, email:
shuihuawang at ieee.org
# M. Emre Celebi, Prof., University of Central Arkansas, USA, email:
ecelebi at uca.edu
--
M. Emre Celebi, Ph.D., Fellow SPIE
he/him/his
Professor and Chair
Department of Computer Science and Engineering
College of Natural Sciences and Mathematics
University of Central Arkansas
Phone: 501-852-0931
Homepage: http://faculty.uca.edu/ecelebi/
GS: http://scholar.google.com/citations?user=mUzfrV8AAAAJ&hl=en
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