Cover Image

Discovering Intersectional Bias via Directional Alignment in Face Recognition Embeddings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Serna, Ignacio
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TopoFR: A Closer Look at Topology Alignment on Face Recognition
by: Dan, Jun, et al.
Published: (2024)

ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
by: Huang, Yangyu, et al.
Published: (2021)

Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering
by: Varshney, Payal, et al.
Published: (2025)

Unified Knowledge Distillation Framework: Fine-Grained Alignment and Geometric Relationship Preservation for Deep Face Recognition
by: Mishra, Durgesh, et al.
Published: (2025)

A Rapid Test for Accuracy and Bias of Face Recognition Technology
by: Knott, Manuel, et al.
Published: (2025)

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models
by: Krug, Valerie, et al.
Published: (2025)

Realistic Face Reconstruction from Facial Embeddings via Diffusion Models
by: Han, Dong, et al.
Published: (2026)

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition
by: Yeung, Michael, et al.
Published: (2024)

Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
by: Haas, René, et al.
Published: (2023)

Hypergraph Laplacian Eigenmaps and Face Recognition Problems
by: Tran, Loc Hoang
Published: (2024)

Rethinking Impersonation and Dodging Attacks on Face Recognition Systems
by: Zhou, Fengfan, et al.
Published: (2024)

Face Identity Unlearning for Retrieval via Embedding Dispersion
by: Zakharov, Mikhail
Published: (2025)

Are Face Embeddings Compatible Across Deep Neural Network Models?
by: Rubab, Fizza, et al.
Published: (2026)

BiasMap: Leveraging Cross-Attentions to Discover and Mitigate Hidden Social Biases in Text-to-Image Generation
by: Chakraborty, Rajatsubhra, et al.
Published: (2025)

DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications
by: Fayad, Ibrahim, et al.
Published: (2025)

Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders
by: Ma, Xin, et al.
Published: (2019)

Data-Driven Analysis of Intersectional Bias in Image Classification: A Framework with Bias-Weighted Augmentation
by: Yesmin, Farjana
Published: (2025)

Inference Attacks Against Face Recognition Model without Classification Layers
by: Huang, Yuanqing, et al.
Published: (2024)

SHED: Style-Homogenized Embedding Alignment for Domain Generalization
by: Gan, Kai, et al.
Published: (2026)

Mitigating Spurious Background Bias in Multimedia Recognition with Disentangled Concept Bottlenecks
by: Huang, Gaoxiang, et al.
Published: (2025)

Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets
by: Chen, Zhichao, et al.
Published: (2026)

SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition
by: Nzalasse, Kassi, et al.
Published: (2024)

Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition
by: Aganian, Dustin, et al.
Published: (2025)

Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment
by: Schall, Konstantin, et al.
Published: (2024)

Federated Learning for Face Recognition via Intra-subject Self-supervised Learning
by: Kim, Hansol, et al.
Published: (2024)

Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment
by: Rizvi, Syed Sameen Ahmad, et al.
Published: (2024)

Two-Step Data Augmentation for Masked Face Detection and Recognition: Turning Fake Masks to Real
by: Yang, Yan, et al.
Published: (2025)

FameBias: Embedding Manipulation Bias Attack in Text-to-Image Models
by: Roh, Jaechul, et al.
Published: (2024)

Masked Face Recognition with Generative-to-Discriminative Representations
by: Ge, Shiming, et al.
Published: (2024)

From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models
by: Chhua, Kaylee, et al.
Published: (2024)

Bias-Aware Face Mask Detection Dataset
by: Kantarcı, Alperen, et al.
Published: (2022)

Made to Order: Discovering monotonic temporal changes via self-supervised video ordering
by: Yang, Charig, et al.
Published: (2024)

Face Detection: Present State and Research Directions
by: Prabhat, Purnendu, et al.
Published: (2024)

Low-Resolution Face Recognition via Adaptable Instance-Relation Distillation
by: Shi, Ruixin, et al.
Published: (2024)

Disentangled Representation Learning via Modular Compositional Bias
by: Jung, Whie, et al.
Published: (2025)

Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability
by: Shi, Yingdong, et al.
Published: (2025)

Bias Leaves a Gradient Trail: Label-Free Bias Identification via Gradient Probes on Concept Decompositions
by: Vitry, Thomas, et al.
Published: (2026)

LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels
by: Ohki, Tetsushi, et al.
Published: (2024)

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion
by: Wang, Hanrui, et al.
Published: (2025)

Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks
by: Raj, Ankita, et al.
Published: (2025)