FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
Fuente:
arXiv
Saved in:
| Main Authors: | Kang, Mintong, Kumar, Vinayshekhar Bannihatti, Roy, Shamik, Kumar, Abhishek, Khosla, Sopan, Narayanaswamy, Balakrishnan Murali, Gangadharaiah, Rashmi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Faceted Evaluation of Tool-Augmented Dialogue Systems
by: Hou, Zhaoyi Joey, et al.
Published: (2025)
by: Hou, Zhaoyi Joey, et al.
Published: (2025)
When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA
by: Nakshatri, Nishanth Sridhar, et al.
Published: (2025)
by: Nakshatri, Nishanth Sridhar, et al.
Published: (2025)
Syntax Without Semantics: Teaching Large Language Models to Code in an Unseen Language
by: Kumar, Vinayshekhar Bannihatti, et al.
Published: (2026)
by: Kumar, Vinayshekhar Bannihatti, et al.
Published: (2026)
Probing the Prompt KV Cache: Where It Becomes Dispensable
by: Kumar, Vinayshekhar Bannihatti, et al.
Published: (2026)
by: Kumar, Vinayshekhar Bannihatti, et al.
Published: (2026)
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis
by: Makhija, Disha, et al.
Published: (2025)
by: Makhija, Disha, et al.
Published: (2025)
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA
by: Agarwal, Dhruv, et al.
Published: (2023)
by: Agarwal, Dhruv, et al.
Published: (2023)
FairGen: Enhancing Fairness in Text-to-Image Diffusion Models via Self-Discovering Latent Directions
by: Jiang, Yilei, et al.
Published: (2024)
by: Jiang, Yilei, et al.
Published: (2024)
Steering Without Breaking: Mechanistically Informed Interventions for Discrete Diffusion Language Models
by: Zhou, Hanhan, et al.
Published: (2026)
by: Zhou, Hanhan, et al.
Published: (2026)
Constrained Decoding with Speculative Lookaheads
by: Nakshatri, Nishanth, et al.
Published: (2024)
by: Nakshatri, Nishanth, et al.
Published: (2024)
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
by: Veldanda, Akshaj Kumar, et al.
Published: (2023)
by: Veldanda, Akshaj Kumar, et al.
Published: (2023)
Fairness-Sensitive PageRank Approximation
by: Kumar, Mukesh, et al.
Published: (2026)
by: Kumar, Mukesh, et al.
Published: (2026)
Fairness without Sensitive Attributes via Knowledge Sharing
by: Ni, Hongliang, et al.
Published: (2024)
by: Ni, Hongliang, et al.
Published: (2024)
A Sequentially Fair Mechanism for Multiple Sensitive Attributes
by: Hu, François, et al.
Published: (2023)
by: Hu, François, et al.
Published: (2023)
Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales
by: Kim, Myeongsoo, et al.
Published: (2026)
by: Kim, Myeongsoo, et al.
Published: (2026)
Ordering results for random maxima and minima from two dependent Kumaraswamy generalized distributed samples
by: Das, Sangita, et al.
Published: (2025)
by: Das, Sangita, et al.
Published: (2025)
FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation
by: Luo, Yan, et al.
Published: (2024)
by: Luo, Yan, et al.
Published: (2024)
The Degree of Fairness in Efficient House Allocation
by: Hosseini, Hadi, et al.
Published: (2024)
by: Hosseini, Hadi, et al.
Published: (2024)
Fair Graph Representation Learning via Sensitive Attribute Disentanglement
by: Zhu, Yuchang, et al.
Published: (2024)
by: Zhu, Yuchang, et al.
Published: (2024)
Towards Group Fairness with Multiple Sensitive Attributes in Federated Foundation Models
by: Yang, Yuning, et al.
Published: (2025)
by: Yang, Yuning, et al.
Published: (2025)
Learning Fair Models without Sensitive Attributes: A Generative Approach
by: Zhu, Huaisheng, et al.
Published: (2022)
by: Zhu, Huaisheng, et al.
Published: (2022)
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes
by: Sohn, Jinwon, et al.
Published: (2023)
by: Sohn, Jinwon, et al.
Published: (2023)
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
by: Kang, Mintong, et al.
Published: (2023)
by: Kang, Mintong, et al.
Published: (2023)
P2VA: Converting Persona Descriptions into Voice Attributes for Fair and Controllable Text-to-Speech
by: Lee, Yejin, et al.
Published: (2025)
by: Lee, Yejin, et al.
Published: (2025)
Multi-Attribute Group Fairness in $k$-NN Queries on Vector Databases
by: On, Thinh, et al.
Published: (2026)
by: On, Thinh, et al.
Published: (2026)
Constructing Fair Latent Space for Intersection of Fairness and Explainability
by: Joo, Hyungjun, et al.
Published: (2024)
by: Joo, Hyungjun, et al.
Published: (2024)
Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs
by: Xin, Haoran, et al.
Published: (2025)
by: Xin, Haoran, et al.
Published: (2025)
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
by: Shi, Tianhao, et al.
Published: (2024)
by: Shi, Tianhao, et al.
Published: (2024)
Fair Machine Guidance to Enhance Fair Decision Making in Biased People
by: Yang, Mingzhe, et al.
Published: (2024)
by: Yang, Mingzhe, et al.
Published: (2024)
EXTree: Towards Supporting Explainability in Attribute-based Access Control
by: Chowdary, Shanampudi Pranaya, et al.
Published: (2026)
by: Chowdary, Shanampudi Pranaya, et al.
Published: (2026)
Continuous Fairness On Data Streams
by: Ghosh, Subhodeep, et al.
Published: (2026)
by: Ghosh, Subhodeep, et al.
Published: (2026)
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?
by: Sah, Chandan Kumar
Published: (2025)
by: Sah, Chandan Kumar
Published: (2025)
DistortBench: Benchmarking Vision Language Models on Image Distortion Identification
by: Goyal, Divyanshu, et al.
Published: (2026)
by: Goyal, Divyanshu, et al.
Published: (2026)
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
by: Zhu, Lin, et al.
Published: (2025)
by: Zhu, Lin, et al.
Published: (2025)
Ethical Fairness in Ubiquitous Health Sensing without Known Attributes
by: Roy, Shaily, et al.
Published: (2026)
by: Roy, Shaily, et al.
Published: (2026)
FashionSD-X: Multimodal Fashion Garment Synthesis using Latent Diffusion
by: Singh, Abhishek Kumar, et al.
Published: (2024)
by: Singh, Abhishek Kumar, et al.
Published: (2024)
Robust inference for intermittently-monitored step-stress tests under Weibull lifetime distributions
by: Balakrishnan, Narayanaswamy, et al.
Published: (2022)
by: Balakrishnan, Narayanaswamy, et al.
Published: (2022)
Probabilistic Hash Embeddings for Online Learning of Categorical Features
by: Li, Aodong, et al.
Published: (2025)
by: Li, Aodong, et al.
Published: (2025)
Robust Inference for Intermittently‐Monitored Step‐Stress Tests Under Weibull Lifetime Distributions
by: Narayanaswamy Balakrishnan, et al.
Published: (2025)
by: Narayanaswamy Balakrishnan, et al.
Published: (2025)
Robust inference for an interval-monitored step-stress experiment under proportional hazards
by: Balakrishnan, Narayanaswamy, et al.
Published: (2024)
by: Balakrishnan, Narayanaswamy, et al.
Published: (2024)
Robust Rao-type tests for step-stress accelerated life-tests under interval-monitoring and Weibull lifetime distributions
by: Balakrishnan, Narayanaswamy, et al.
Published: (2024)
by: Balakrishnan, Narayanaswamy, et al.
Published: (2024)
Similar Items
-
Multi-Faceted Evaluation of Tool-Augmented Dialogue Systems
by: Hou, Zhaoyi Joey, et al.
Published: (2025) -
When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA
by: Nakshatri, Nishanth Sridhar, et al.
Published: (2025) -
Syntax Without Semantics: Teaching Large Language Models to Code in an Unseen Language
by: Kumar, Vinayshekhar Bannihatti, et al.
Published: (2026) -
Probing the Prompt KV Cache: Where It Becomes Dispensable
by: Kumar, Vinayshekhar Bannihatti, et al.
Published: (2026) -
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis
by: Makhija, Disha, et al.
Published: (2025)