[image 04711] CfP: ICONIP 2022 Special Session

[Isao Echizen]

Image-MLの皆様，

国立情報学研究所の越前です．
以下のようなSpecial Sessionを検討しています．
ご興味のある方，投稿をご検討頂けますと幸いです．

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ICONIP 2022 - Special Session on “Challenging Deepfake through Explainable
AI”
- Agile methods to combat increasing deepfakes -

https://www.iiitdmj.ac.in/others/conferences/Special-Session-at-ICONIP-2022/
index.html
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Deepfake detection has become an utmost important issue across the world
especially looking
at its impact on the society. While deepfake technology has already made its
place in society,
the construction of interpretable and easily explainable models is essential
to restore the trust
of humans.

This special issue will address the increasing demand of explainable AI
techniques to combat
deepfakes. This dedicated session is expected to publish high quality
research articles under
ICONIP 2022, an annual flagship conference organized by the Asia Pacific
Neural Network
Society (APNNS).

<Topics of interest include, but are not limited to>

Deep Learning Techniques to Analyze and Detect Deepfakes
* Deep CNNs in the Detection of Deepfake
* Generative Adversarial Networks for Deepfake Detection
* Spatial, Spectral, and Temporal techniques
* Deep Reinforcement Learning in Deepfake Detection
* Deepfake Detection Techniques under Adversarial Attacks
* Ensemble of Deep Learning Models to generalize Deepfake Detection
Capability.

Explainable AI to Combat Deepfake
* Combatting Deepfake by Audio/ Visual Interpretability
* Rationalizing Neural Predictions for Deepfake Detection
* Attention-based Explainable Deepfake Detection
* AI Methods for Learning Semantic
* Guided Backpropagation for visualizing CNN features
* Use of popular explainable AI methods, such as Deep Taylor, Integrated
Gradients, for Deepfake Detection
* Local Interpretable Model-Agnostic Explanations (LIME) models for Deepfake
Detection.

Blockchain Technology and Deepfake
* Distributed Ledgers and Consensus Methods to prevent Deepfake
* Blockchain and Smart Contracts to Combat Deepfakes
* Blockchain Security and Privacy Threats through Deepfake

Hybrid Approaches to Combat Deepfakes
* Human individualities to detect Deepfake Attacks
* New Datasets for AI Synthesized Media Detection
* Social Impacts of Deepfake
* Resilience against the use of Deepfakes during Social Interaction and
probable new dimensions

<Important Dates and Links>

Submission Deadline: 11:59 PM (AoE), June 15, 2022
Notification Date: 11:59 PM (AoE), August 15, 2022
Camera-Ready Deadline: 11:59 PM (AoE), August 31, 2022

Online Submission through EasyChair:
https://easychair.org/conferences/?conf=iconip2022
Contact iconip.2022 ＠ gmail.com for any query

<Session Organizers>

Pritee Khanna, PDPM Indian Institute of Information Technology, Design and
Manufacturing, Jabalpur, India
Isao Echizen, National Institute of Informatics, Tokyo, Japan
Harkeerat Kaur, Indian Institute of Technology Jammu, India

-
Isao Echizen, Ph.D
Director / Professor, Information and Society Research Division,
National Institute of Informatics (NII)
Director, Global Research Center for Synthetic Media,
National Institute of Informatics (NII)
Professor, Department of Information and Communication Engineering,
Graduate School of Information Science and Technology, The University of
Tokyo
2-1-2, Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430, JAPAN
mailto: iechizen ＠ nii.ac.jp
TEL:+81-3-4212-2516 (Direct), FAX:+81-3-3556-1916
http://research.nii.ac.jp/~iechizen/official/index-e.html