Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising
Fuente:
arXiv
Saved in:
| Main Authors: | Szandala, Tomasz, Ezzeddine, Fatima, Rusin, Natalia, Giordano, Silvia, Ayoub, Omran |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fair Recourse for All: Ensuring Individual and Group Fairness in Counterfactual Explanations
by: Ezzeddine, Fatima, et al.
Published: (2026)
by: Ezzeddine, Fatima, et al.
Published: (2026)
Knowledge Distillation-Based Model Extraction Attack using GAN-based Private Counterfactual Explanations
by: Ezzeddine, Fatima, et al.
Published: (2024)
by: Ezzeddine, Fatima, et al.
Published: (2024)
Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability
by: Ezzeddine, Fatima, et al.
Published: (2024)
by: Ezzeddine, Fatima, et al.
Published: (2024)
Explanations Leak: Membership Inference with Differential Privacy and Active Learning Defense
by: Ezzeddine, Fatima, et al.
Published: (2026)
by: Ezzeddine, Fatima, et al.
Published: (2026)
Data-Driven Fairness Generalization for Deepfake Detection
by: Ezeakunne, Uzoamaka, et al.
Published: (2024)
by: Ezeakunne, Uzoamaka, et al.
Published: (2024)
GESD: Beyond Outcome-Oriented Fairness
by: Popoola, Gideon, et al.
Published: (2026)
by: Popoola, Gideon, et al.
Published: (2026)
Understanding Fairness Surrogate Functions in Algorithmic Fairness
by: Yao, Wei, et al.
Published: (2023)
by: Yao, Wei, et al.
Published: (2023)
Auditing Fairness under Model Updates: Fundamental Complexity and Property-Preserving Updates
by: Ajarra, Ayoub, et al.
Published: (2026)
by: Ajarra, Ayoub, et al.
Published: (2026)
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
by: Han, Xiaotian, et al.
Published: (2023)
by: Han, Xiaotian, et al.
Published: (2023)
FairGU: Fairness-aware Graph Unlearning in Social Networks
by: Luo, Renqiang, et al.
Published: (2026)
by: Luo, Renqiang, et al.
Published: (2026)
ComFairGNN: Community Fair Graph Neural Network
by: Sium, Yonas, et al.
Published: (2024)
by: Sium, Yonas, et al.
Published: (2024)
Fairness in Federated Learning: Fairness for Whom?
by: Taik, Afaf, et al.
Published: (2025)
by: Taik, Afaf, et al.
Published: (2025)
GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
by: Sulaiman, Modar, et al.
Published: (2025)
by: Sulaiman, Modar, et al.
Published: (2025)
FairPO: Robust Preference Optimization for Fair Multi-Label Learning
by: Mondal, Soumen Kumar, et al.
Published: (2025)
by: Mondal, Soumen Kumar, et al.
Published: (2025)
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025)
by: Kim, Woosung, et al.
Published: (2025)
Fair Clustering with Clusterlets
by: Setzu, Mattia, et al.
Published: (2025)
by: Setzu, Mattia, et al.
Published: (2025)
Monitoring of Static Fairness
by: Henzinger, Thomas A., et al.
Published: (2025)
by: Henzinger, Thomas A., et al.
Published: (2025)
Fairness Through Matching
by: Kim, Kunwoong, et al.
Published: (2025)
by: Kim, Kunwoong, et al.
Published: (2025)
Lookahead Counterfactual Fairness
by: Zuo, Zhiqun, et al.
Published: (2024)
by: Zuo, Zhiqun, et al.
Published: (2024)
FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data
by: Lammers, Kathrin, et al.
Published: (2025)
by: Lammers, Kathrin, et al.
Published: (2025)
FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation
by: Heilmann, Xenia, et al.
Published: (2025)
by: Heilmann, Xenia, et al.
Published: (2025)
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation
by: Sikder, Md Fahim, et al.
Published: (2024)
by: Sikder, Md Fahim, et al.
Published: (2024)
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity
by: Sokol, Kacper, et al.
Published: (2022)
by: Sokol, Kacper, et al.
Published: (2022)
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques
by: Duong, Manh Khoi, et al.
Published: (2024)
by: Duong, Manh Khoi, et al.
Published: (2024)
On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction
by: Ezzeddine, Fatima, et al.
Published: (2025)
by: Ezzeddine, Fatima, et al.
Published: (2025)
FairMT: Fairness for Heterogeneous Multi-Task Learning
by: Hu, Guanyu, et al.
Published: (2025)
by: Hu, Guanyu, et al.
Published: (2025)
Fair CCA for Fair Representation Learning: An ADNI Study
by: Hou, Bojian, et al.
Published: (2025)
by: Hou, Bojian, et al.
Published: (2025)
OxonFair: A Flexible Toolkit for Algorithmic Fairness
by: Delaney, Eoin, et al.
Published: (2024)
by: Delaney, Eoin, et al.
Published: (2024)
NeuFair: Neural Network Fairness Repair with Dropout
by: Dasu, Vishnu Asutosh, et al.
Published: (2024)
by: Dasu, Vishnu Asutosh, et al.
Published: (2024)
FairProof : Confidential and Certifiable Fairness for Neural Networks
by: Yadav, Chhavi, et al.
Published: (2024)
by: Yadav, Chhavi, et al.
Published: (2024)
FairPFN: Transformers Can do Counterfactual Fairness
by: Robertson, Jake, et al.
Published: (2024)
by: Robertson, Jake, et al.
Published: (2024)
FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation
by: Nagesh, Nitish, et al.
Published: (2025)
by: Nagesh, Nitish, et al.
Published: (2025)
FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification
by: Cohen-Inger, Nurit, et al.
Published: (2025)
by: Cohen-Inger, Nurit, et al.
Published: (2025)
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
by: Li, Can, et al.
Published: (2023)
by: Li, Can, et al.
Published: (2023)
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
by: Alamdari, Parand A., et al.
Published: (2023)
by: Alamdari, Parand A., et al.
Published: (2023)
Exploring How Fair Model Representations Relate to Fair Recommendations
by: Vassøy, Bjørnar, et al.
Published: (2026)
by: Vassøy, Bjørnar, et al.
Published: (2026)
Fair Clustering via Alignment
by: Kim, Kunwoong, et al.
Published: (2025)
by: Kim, Kunwoong, et al.
Published: (2025)
FROG: Fair Removal on Graphs
by: Chen, Ziheng, et al.
Published: (2025)
by: Chen, Ziheng, et al.
Published: (2025)
Similar Items
-
Fair Recourse for All: Ensuring Individual and Group Fairness in Counterfactual Explanations
by: Ezzeddine, Fatima, et al.
Published: (2026) -
Knowledge Distillation-Based Model Extraction Attack using GAN-based Private Counterfactual Explanations
by: Ezzeddine, Fatima, et al.
Published: (2024) -
Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability
by: Ezzeddine, Fatima, et al.
Published: (2024) -
Explanations Leak: Membership Inference with Differential Privacy and Active Learning Defense
by: Ezzeddine, Fatima, et al.
Published: (2026) -
Data-Driven Fairness Generalization for Deepfake Detection
by: Ezeakunne, Uzoamaka, et al.
Published: (2024)