Cover Image

Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Elobaid, Alaa, Ramoly, Nathan, Younes, Lara, Papadopoulos, Symeon, Ntoutsi, Eirini, Kompatsiaris, Ioannis
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
by: Roy, Arjun, et al.
Published: (2023)

Achieving Socio-Economic Parity through the Lens of EU AI Act
by: Roy, Arjun, et al.
Published: (2025)

Demographic and Linguistic Bias Evaluation in Omnimodal Language Models
by: Elobaid, Alaa
Published: (2026)

IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
by: Karantaidis, George, et al.
Published: (2024)

Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge
by: Violos, John, et al.
Published: (2024)

Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition
by: Karantaidis, George, et al.
Published: (2025)

Any-Resolution AI-Generated Image Detection by Spectral Learning
by: Karageorgiou, Dimitrios, et al.
Published: (2024)

InDistill: Information flow-preserving knowledge distillation for model compression
by: Sarridis, Ioannis, et al.
Published: (2022)

BAdd: Bias Mitigation through Bias Addition
by: Sarridis, Ioannis, et al.
Published: (2024)

Towards Standardizing AI Bias Exploration
by: Krasanakis, Emmanouil, et al.
Published: (2024)

Reducing Inference Energy Consumption Using Dual Complementary CNNs
by: Kinnas, Michail, et al.
Published: (2024)

MAVias: Mitigate any Visual Bias
by: Sarridis, Ioannis, et al.
Published: (2024)

VB-Mitigator: An Open-source Framework for Evaluating and Advancing Visual Bias Mitigation
by: Sarridis, Ioannis, et al.
Published: (2025)

Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb
by: Swati, Swati, et al.
Published: (2024)

Designing and Generating Diverse, Equitable Face Image Datasets for Face Verification Tasks
by: Baltsou, Georgia, et al.
Published: (2025)

Improving Generalization in Deepfake Detection with Face Foundation Models and Metric Learning
by: Mylonas, Stelios, et al.
Published: (2025)

Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health
by: Kumar, Vivek, et al.
Published: (2024)

Evaluating AI Group Fairness: a Fuzzy Logic Perspective
by: Krasanakis, Emmanouil, et al.
Published: (2024)

Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checking
by: Chrysidis, Zacharias, et al.
Published: (2024)

A Brief Review for Compression and Transfer Learning Techniques in DeepFake Detection
by: Karathanasis, Andreas, et al.
Published: (2025)

Mitigating Semantic Drift: Evaluating LLMs' Efficacy in Psychotherapy through MI Dialogue Summarization
by: Kumar, Vivek, et al.
Published: (2025)

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence
by: Violos, John, et al.
Published: (2025)

MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs
by: Swati, Swati, et al.
Published: (2025)

Transparent Neighborhood Approximation for Text Classifier Explanation
by: Cai, Yi, et al.
Published: (2024)

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations
by: Sarridis, Ioannis, et al.
Published: (2023)

SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes
by: Baltsou, Georgia, et al.
Published: (2024)

FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations
by: Sarridis, Ioannis, et al.
Published: (2024)

TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE
by: Panagiotou, Emmanouil, et al.
Published: (2024)

Fairness Evaluation with Item Response Theory
by: Xu, Ziqi, et al.
Published: (2024)

DiffusionPrint: Learning Generative Fingerprints for Diffusion-Based Inpainting Localization
by: Giakoumoglou, Paschalis, et al.
Published: (2026)

AuViRe: Audio-visual Speech Representation Reconstruction for Deepfake Temporal Localization
by: Koutlis, Christos, et al.
Published: (2025)

DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and Localization
by: Koutlis, Christos, et al.
Published: (2024)

Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection
by: Koutlis, Christos, et al.
Published: (2024)

SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection Methods
by: Schinas, Manos, et al.
Published: (2024)

Sampling Strategies for Mitigating Bias in Face Synthesis Methods
by: Maragkoudakis, Emmanouil, et al.
Published: (2024)

GRILL: Restoring Gradient Signal in Ill-Conditioned Layers for More Effective Adversarial Attacks on Autoencoders
by: Ramanaik, Chethan Krishnamurthy, et al.
Published: (2025)

A CLIP-based siamese approach for meme classification
by: Huertas-Tato, Javier, et al.
Published: (2024)

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems
by: Papadimitriou, Ioannis, et al.
Published: (2024)

TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping
by: Konstantinidou, Despina, et al.
Published: (2024)

Understanding the Performance Plateau in Text-to-Video Retrieval: A Comprehensive Empirical and Linguistic Analysis
by: Pegia, Maria-Eirini, et al.
Published: (2026)