xAI4Biometrics
Workshop on Explainable & Interpretable Artificial Intelligence for Biometrics at WACV 2021

January 5, 2021 | Fully Virtual Event

About The Workshop

About the Workshop

The xAI4Biometrics Workshop at WACV 2021 aims at promoting a better understanding, through explainability and interpretability, of currently common and accepted practices in several and varied applications of biometrics. These applications, in scenarios comprising identity verification for access/border control, watching lists surveillance, anti-spoofing measures embedded in biometric recognition systems, forensic applications, among many others, affect the daily life of an ever-growing population. 

Important Dates


Submission firm deadline: November 5, 2020 (AoE)
Author notification: November 20, 2020
Camera ready & registration: November 30, 2020
WACV 2021 conference: January 5-9, 2021
xAI4Biometrics Workshop: January 5, 2021

Keynote Speakers

Speaker 1

Cynthia Rudin

Duke University

Speaker 2

Peter Eisert

Humboldt University & Fraunhofer HHI

Call for Papers

The xAI4Biometrics Workshop welcomes submissions that focus on biometrics and promote the development of: a) methods to interpret the biometric models to validate their decisions as well as to improve the models and to detect possible vulnerabilities; b) quantitative methods to objectively assess and compare different explanations of the automatic decisions; c) methods to generate better explanations; and d) more transparent algorithms.

Interest Topics

The xAI4Biometrics Workshop welcomes works that focus on biometrics and promote the development of:

  • Methods to interpret the biometric models to validate their decisions as well as to improve the models and to detect possible vulnerabilities;
  • Quantitative methods to objectively assess and compare different explanations of the automatic decisions;
  • Methods and metrics to study/evaluate the quality of explanations obtained by post-model approaches and improve the explanations;
  • Methods to generate model-agnostic explanations;
  • Transparency and fairness in AI algorithms avoiding bias;
  • Interpretable methods able to explain decisions of previously built and unconstrained (black-box) models;
  • Inherently interpretable (white-box) models;
  • Methods that use post-model explanations to improve the models’ training;
  • Methods to achieve/design inherently interpretable algorithms (rule-based, case-based reasoning, regularization methods);
  • Study on causal learning, causal discovery, causal reasoning, causal explanations, and causal inference;
  • Natural Language generation for explanatory models;
  • Methods for adversarial attacks detection, explanation and defense (“How can we interpret adversarial examples?”);
  • Theoretical approaches of explainability (“What makes a good explanation?”);
  • Applications of all the above including proof0of-concepts and demonstrators of how to integrate explainable AI into real-world work-flows and industrial processes.

The workshop papers will be published in IEEE Xplore as WACV 2021 Workshops Proceedings and will be indexed separately from the main conference proceedings.

The papers submitted to the workshop should follow the same formatting requirements as the main conference.

For details and templates click here.

Organisers

General Chairs

Speaker 1

Jaime S. Cardoso

INESC TEC & U. Porto

Speaker 2

Matt Fredrikson

Carnegie Mellon University

Speaker 1

Cynthia Rudin

Duke University

Programme Committee

Speaker 1

Andreas Holzinger

Medical University Graz

Speaker 2

Ana F. Sequeira

INESC TEC

Speaker 2

Wilson Silva

INESC TEC & U. Porto

Publicity & Local Organisation Chairs

Speaker 1

Sara P. Oliveira

INESC TEC & U. Porto

Speaker 1

João R. Pinto

INESC TEC & U. Porto

Speaker 2

Tiago Gonçalves

INESC TEC & U. Porto

Sponsorship Chairs

Speaker 1

Marta Gomez-Barrero

Hochschule Ansbach

Speaker 2

Tiago Gonçalves

INESC TEC & U. Porto

Technical Programme Committee

Ana F. Sequeira, INESC TEC, Portugal

Ana Rebelo, INESC TEC, Portugal

Andreas Holzinger, Medical University Graz, Austria

Cynthia Rudin, Duke University, United States

Isabel Rio-Torto, University of Porto, Portugal

Jaime S. Cardoso, INESC TEC and University of Porto, Portugal

João R. Pinto, INESC TEC and University of Porto, Portugal

Jonathon Philips, NIST, United States

Kelwin Fernandes, NILG.AI, Portugal

Kiran Raja, Norwegian University of Science and Technology, Norway

Luis Teixeira, INESC TEC and University of Porto, Portugal

Mark Przybocki, NIST, United States

Marta Gomez-Barrero, Hochschule Ansbach, Germany

Matt Fredrikson, Carnegie Mellon University, United States

Peter Eisert, Humboldt University Berlin & Fraunhofer HHI, Germany

Tiago Gonçalves, INESC TEC and University of Porto, Portugal

Tiago de Freitas Pereira, IDIAP Research Institute, Switzerland

Wilson Silva, INESC TEC and University of Porto, Portugal

Wojciech Samek, Fraunhofer HHI, Germany

Supporters

Sponsorship funds are always critical in ensuring the success of scientific events such as this. The xAI4Biometrics Workshop 2021 organization greatly appreciates your support and participation and will do its best to ensure that your sponsorship meets the needs of your company.

Interested in supporting the xAI4Biometrics Workshop?