Project description
Explainable anomaly detection system for the data industry
The rapid expansion of digital technologies and the Internet of Things has led to an increasing reliance on data technologies, streams, and storage. However, as data volumes grow, anomalies, bugs, and other issues are becoming more frequent, necessitating advanced detection and prevention solutions. The ERC-funded ExplainableAD project aims to tackle challenges in explainable anomaly detection (XAD) by developing an innovative XAD system that enhances digital service security. The project will integrate deep learning-based anomaly detection with explanation discovery methods, providing users with powerful tools to identify fraudulent activity and malfunctions efficiently and transparently.
Objective
In the ExplainableAD project, we address the problem of eXplainable Anomaly Detection (XAD) on data streams with evolving, previously unknown, complex anomaly types. To bridge the gap between growing demands in the data industry and severely limited industry-grade solutions available today, we propose a breakthrough XAD system that offers unprecedented capabilities for safeguarding digital services. To this end, it seamlessly integrates deep learning-based anomaly detection (AD), which unlocks the power of detecting evolving, previously unknown, complex anomaly types, and explanation discovery (ED), which overcomes the non-interpretability of deep learning by returning human-readable, actionable insights. To establish a pathway from fundamental research to innovation, we will conduct 1) additional research activities on automated model selection, scalable execution, and data visualization; (2) prototyping, benchmarking analysis, and system demonstration; (3) large-scale use case studies with industry partners, leveraging ongoing collaborations and building new use cases across banking, finance, and healthcare domains; (4) market analysis and market entry strategy development to enable technology transfer.
Our XAD system will have a direct impact on end users across a variety of sectors, including fraud analysts in banking and financial services to combat ever-growing, complex fraud types, IT departments and cloud services to manage malfunction and performance challenges proactively, and biomedical researchers and staff to benefit from enhanced diagnostic accuracy and improved confidence. The PI will bring extensive experience from the ERC CoG grant, including a large number of publications and a highly skilled team, to this project. With a proven track record of delivering cutting-edge solutions to critical challenges faced by enterprises and society, she will leverage her strong industry connections to facilitate the transition from research to innovation.
Fields of science (EuroSciVoc)
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2024-POC
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
91128 PALAISEAU CEDEX
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.