Theme: Responsible AI and Futuristic Technologies
Date: September 26 - 27, 2022
Venue: Physical and Virtual (on Zoom)
Paper Submission deadline: August 20, 2022, 11:59 PM EST
The organizing committee is happy to announce the third edition of the DeepLearning IndabaX Nigeria Conference. IndabaX is a locally-organised Indaba (i.e gathering) that aims to enhance knowledge and build capacity in machine learning and artificial intelligence across individual countries in Africa.
This theme of this year’s conference is
“Responsible AI in National Security and Healthcare.” Artificial intelligence (AI) technologies have rapidly advanced over the years. As technology continues to improve, its impact on the economy with respect to productivity, growth, equality, market power, innovation, and employment cannot be overemphasized. The healthcare sector is currently experiencing a revolution as early adopter hospitals, health systems, and physician groups are beginning to deploy AI to improve patient outcomes, streamline care delivery, and generate powerful insights from large pools of data.
It is against this background that we call for short papers (2000 – 3000 words) that will kick start educative conversations around AI and inform policy.
The paper should clearly state the research goals, elaborate on the methods used, and discuss the results in order to allow the scientific committee to assess their quality. Ongoing research is not welcome as we expect clear indication of the research's conclusions. Please note that only original contributions will be considered for presentation at the conference.
Topics of Interest
| Responsible AI in security |
Responsible AI in healthcare |
| Adversarial learning |
Model confidentiality |
| Security of deep learning systems |
Ethics and BIAS in AI for Healthcare and Diagnosis |
| Robust statistics |
AI for Critical Decision Making in Healthcare |
| Learning in games |
Disease Prediction |
| Economics of security |
Statistical learning |
| Differential privacy |
Data science and health |
| Computer forensics |
Digital epidemiology |
| Spam detection |
E-Health |
| Phishing detection and prevention |
Big data and public health |
| Botnet detection |
Statistics and personalized medicine |
| Intrusion detection and response |
Health economics |
| Malware identification and analysis |
Health and human and social science |
| Data anonymization/de-anonymization |
Modeling of infectious diseases |
| Security in social networks |
Large-scale clinical research - Integration of genomics data |
| Big data analytics for security |
Large-scale clinical research - Integration of imaging data |
| User authentication |
Drug target |
| Distributed inference and decision making for security |
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| Secure multiparty computation and cryptographic approaches |
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| Privacy-preserving data mining |
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| Adaptive side-channel attacks |
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| Design and analysis of CAPTCHAs |
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| AI approaches to trust and reputation |
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| Vulnerability testing through intelligent probing (e.g. fuzzing) |
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| Content-driven security policy management & access control |
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| Techniques and methods for generating training and test sets |
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| Anomalous behavior detection (e.g. for the purpose of fraud detection) |
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| Model confidentiality |
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Submission Guidelines
- Research paper must be original and on topics at the intersection of AI/ML and health, security, privacy, or other related areas.
- Paper submissions should be in double-column ACM format (excluding the bibliography and well-marked appendices) and not more than 12 pages.
- Submissions must be in English and properly anonymized.
- All accepted submissions will be presented at the workshop and published in the CEUR Workshop Proceedings.
- One author of each accepted paper will be required to attend the conference to present the paper for it to be included in the proceedings. However, they do not have to attend the workshop in person. They can present their paper remotely.
For any questions, please contact a.olanrewaju@ui.edu.ng
BEST PAPER AWARD
We look forward to outstanding contributions. Therefore, there will be an award for the best paper selected by the reviewers.