Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Shiji, Duan, Ranjie, Wang, Xizhe, Wei, Xingxing |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation
by: Zhao, Shiji, et al.
Published: (2025)
by: Zhao, Shiji, et al.
Published: (2025)
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation
by: Zhao, Shiji, et al.
Published: (2023)
by: Zhao, Shiji, et al.
Published: (2023)
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains
by: Lin, Yumeng, et al.
Published: (2025)
by: Lin, Yumeng, et al.
Published: (2025)
FairDD: Fair Dataset Distillation
by: Zhou, Qihang, et al.
Published: (2024)
by: Zhou, Qihang, et al.
Published: (2024)
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
by: Qi, Qi, et al.
Published: (2024)
by: Qi, Qi, et al.
Published: (2024)
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
by: Shrestha, Robik, et al.
Published: (2024)
by: Shrestha, Robik, et al.
Published: (2024)
Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling
by: Zhao, Shiji, et al.
Published: (2026)
by: Zhao, Shiji, et al.
Published: (2026)
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
by: Li, Minghan, et al.
Published: (2025)
by: Li, Minghan, et al.
Published: (2025)
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters
by: Wei, Xingxing, et al.
Published: (2023)
by: Wei, Xingxing, et al.
Published: (2023)
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
by: Liu, Zhenyu, et al.
Published: (2024)
by: Liu, Zhenyu, et al.
Published: (2024)
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation
by: Wang, Janet, et al.
Published: (2023)
by: Wang, Janet, et al.
Published: (2023)
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
by: Luo, Yiqin, et al.
Published: (2024)
by: Luo, Yiqin, et al.
Published: (2024)
LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels
by: Ohki, Tetsushi, et al.
Published: (2024)
by: Ohki, Tetsushi, et al.
Published: (2024)
Fair Text-to-Image Diffusion via Fair Mapping
by: Li, Jia, et al.
Published: (2023)
by: Li, Jia, et al.
Published: (2023)
KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation
by: Davoodi, Farbod, et al.
Published: (2026)
by: Davoodi, Farbod, et al.
Published: (2026)
Rethinking Dataset Distillation: Hard Truths about Soft Labels
by: Dey, Priyam, et al.
Published: (2026)
by: Dey, Priyam, et al.
Published: (2026)
Preserving Fairness Generalization in Deepfake Detection
by: Lin, Li, et al.
Published: (2024)
by: Lin, Li, et al.
Published: (2024)
Improving Neural ODEs via Knowledge Distillation
by: Chu, Haoyu, et al.
Published: (2022)
by: Chu, Haoyu, et al.
Published: (2022)
Utility-Fairness Trade-Offs and How to Find Them
by: Dehdashtian, Sepehr, et al.
Published: (2024)
by: Dehdashtian, Sepehr, et al.
Published: (2024)
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
by: Xu, Ying, et al.
Published: (2022)
by: Xu, Ying, et al.
Published: (2022)
Fairness in Multi-modal Medical Diagnosis with Demonstration Selection
by: Li, Dawei, et al.
Published: (2025)
by: Li, Dawei, et al.
Published: (2025)
OxEnsemble: Fair Ensembles for Low-Data Classification
by: Rystrøm, Jonathan, et al.
Published: (2025)
by: Rystrøm, Jonathan, et al.
Published: (2025)
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation
by: Wu, Tsung-Han, et al.
Published: (2024)
by: Wu, Tsung-Han, et al.
Published: (2024)
Classification Drives Geographic Bias in Street Scene Segmentation
by: Nair, Rahul, et al.
Published: (2024)
by: Nair, Rahul, et al.
Published: (2024)
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations
by: Zhang, Xiang
Published: (2024)
by: Zhang, Xiang
Published: (2024)
Improving Generative Adversarial Networks with Self-Distillation
by: Nowinowski, Antoni, et al.
Published: (2026)
by: Nowinowski, Antoni, et al.
Published: (2026)
FERD: Fairness-Enhanced Data-Free Robustness Distillation
by: Li, Zhengxiao, et al.
Published: (2025)
by: Li, Zhengxiao, et al.
Published: (2025)
Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation
by: Parikh, Aditya, et al.
Published: (2026)
by: Parikh, Aditya, et al.
Published: (2026)
FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods
by: Khorzooghi, Seyyed Mohammad Sadegh Moosavi, et al.
Published: (2025)
by: Khorzooghi, Seyyed Mohammad Sadegh Moosavi, et al.
Published: (2025)
Improving Adversarial Robustness of Attribution via Implicit Regularization
by: Mehrpanah, Amir, et al.
Published: (2026)
by: Mehrpanah, Amir, et al.
Published: (2026)
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
by: Zhi, Hongxin, et al.
Published: (2025)
by: Zhi, Hongxin, et al.
Published: (2025)
MoAPT: Mixture of Adversarial Prompt Tuning for Vision-Language Models
by: Zhao, Shiji, et al.
Published: (2025)
by: Zhao, Shiji, et al.
Published: (2025)
Learning Style Identification Using Semi-Supervised Self-Taught Labeling
by: Ayyoub, Hani Y., et al.
Published: (2024)
by: Ayyoub, Hani Y., et al.
Published: (2024)
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
by: Xue, Eric, et al.
Published: (2024)
by: Xue, Eric, et al.
Published: (2024)
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
by: Huang, Lin-Chun, et al.
Published: (2025)
by: Huang, Lin-Chun, et al.
Published: (2025)
Examining Pathological Bias in a Generative Adversarial Network Discriminator: A Case Study on a StyleGAN3 Model
by: Grissom II, Alvin, et al.
Published: (2024)
by: Grissom II, Alvin, et al.
Published: (2024)
TRIX- Trading Adversarial Fairness via Mixed Adversarial Training
by: Medi, Tejaswini, et al.
Published: (2025)
by: Medi, Tejaswini, et al.
Published: (2025)
MLLM-as-a-Judge for Image Safety without Human Labeling
by: Wang, Zhenting, et al.
Published: (2024)
by: Wang, Zhenting, et al.
Published: (2024)
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
by: Medi, Tejaswini, et al.
Published: (2024)
by: Medi, Tejaswini, et al.
Published: (2024)
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction
by: Gheisi, Leila, et al.
Published: (2024)
by: Gheisi, Leila, et al.
Published: (2024)
Similar Items
-
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation
by: Zhao, Shiji, et al.
Published: (2025) -
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation
by: Zhao, Shiji, et al.
Published: (2023) -
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains
by: Lin, Yumeng, et al.
Published: (2025) -
FairDD: Fair Dataset Distillation
by: Zhou, Qihang, et al.
Published: (2024) -
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
by: Qi, Qi, et al.
Published: (2024)