Bias-Aware Machine Unlearning: Towards Fairer Vision Models via Controllable Forgetting
Fuente:
arXiv
Saved in:
| Main Authors: | Aylapuram, Sai Siddhartha Chary, Elluru, Veeraraju, Agarwal, Shivang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models
by: Ranjan, Ravi, et al.
Published: (2026)
by: Ranjan, Ravi, et al.
Published: (2026)
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
by: Choi, Dasol, et al.
Published: (2024)
by: Choi, Dasol, et al.
Published: (2024)
Can Vision Models Truly Forget? Mirage: Representation-Level Certification of Visual Unlearning
by: Yu, Zhenyu, et al.
Published: (2026)
by: Yu, Zhenyu, et al.
Published: (2026)
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
by: Fan, Chongyu, et al.
Published: (2024)
by: Fan, Chongyu, et al.
Published: (2024)
Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models
by: Kwon, JuneHyoung, et al.
Published: (2026)
by: Kwon, JuneHyoung, et al.
Published: (2026)
Class Unlearning via Depth-Aware Removal of Forget-Specific Directions
by: Hatami, Arman, et al.
Published: (2026)
by: Hatami, Arman, et al.
Published: (2026)
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
by: Tian, Bozhong, et al.
Published: (2024)
by: Tian, Bozhong, et al.
Published: (2024)
RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion Models
by: Ranjan, Ravi, et al.
Published: (2026)
by: Ranjan, Ravi, et al.
Published: (2026)
Towards a Systematic Evaluation of Hallucinations in Large-Vision Language Models
by: Seth, Ashish, et al.
Published: (2024)
by: Seth, Ashish, et al.
Published: (2024)
Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning
by: Tan, Zhangyun, et al.
Published: (2026)
by: Tan, Zhangyun, et al.
Published: (2026)
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
by: Li, Jiaqi, et al.
Published: (2024)
by: Li, Jiaqi, et al.
Published: (2024)
Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks
by: Kwon, JuneHyoung, et al.
Published: (2026)
by: Kwon, JuneHyoung, et al.
Published: (2026)
Benchmarking Unlearning for Vision Transformers
by: Zhao, Kairan, et al.
Published: (2026)
by: Zhao, Kairan, et al.
Published: (2026)
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey
by: Parraga, Otávio, et al.
Published: (2022)
by: Parraga, Otávio, et al.
Published: (2022)
Machine Unlearning for Document Classification
by: Kang, Lei, et al.
Published: (2024)
by: Kang, Lei, et al.
Published: (2024)
Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation
by: Lakhanpal, Sanyam, et al.
Published: (2024)
by: Lakhanpal, Sanyam, et al.
Published: (2024)
GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing
by: Xiao, Yisong, et al.
Published: (2024)
by: Xiao, Yisong, et al.
Published: (2024)
IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model
by: Ji, Yatai, et al.
Published: (2024)
by: Ji, Yatai, et al.
Published: (2024)
Egocentric Bias in Vision-Language Models
by: Wang, Maijunxian, et al.
Published: (2026)
by: Wang, Maijunxian, et al.
Published: (2026)
The Illusion of Forgetting: Attack Unlearned Diffusion via Initial Latent Variable Optimization
by: Li, Manyi, et al.
Published: (2026)
by: Li, Manyi, et al.
Published: (2026)
SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders
by: Li, Qing, et al.
Published: (2025)
by: Li, Qing, et al.
Published: (2025)
Mechanistically Interpreting Compression in Vision-Language Models
by: Elluru, Veeraraju, et al.
Published: (2026)
by: Elluru, Veeraraju, et al.
Published: (2026)
VLM4D: Towards Spatiotemporal Awareness in Vision Language Models
by: Zhou, Shijie, et al.
Published: (2025)
by: Zhou, Shijie, et al.
Published: (2025)
Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting
by: Kodge, Sangamesh, et al.
Published: (2023)
by: Kodge, Sangamesh, et al.
Published: (2023)
Towards Two-Stream Foveation-based Active Vision Learning
by: Ibrayev, Timur, et al.
Published: (2024)
by: Ibrayev, Timur, et al.
Published: (2024)
Uncovering Bias in Large Vision-Language Models with Counterfactuals
by: Howard, Phillip, et al.
Published: (2024)
by: Howard, Phillip, et al.
Published: (2024)
Practical Continual Forgetting for Pre-trained Vision Models
by: Zhao, Hongbo, et al.
Published: (2025)
by: Zhao, Hongbo, et al.
Published: (2025)
PPU-Bench:Real World Benchmark for Personalized Partial Unlearning in Vision Language Models
by: Guang, Jiahui, et al.
Published: (2026)
by: Guang, Jiahui, et al.
Published: (2026)
Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery
by: Chang, Ching-Chun, et al.
Published: (2024)
by: Chang, Ching-Chun, et al.
Published: (2024)
Transcending Domains through Text-to-Image Diffusion: A Source-Free Approach to Domain Adaptation
by: Chopra, Shivang, et al.
Published: (2023)
by: Chopra, Shivang, et al.
Published: (2023)
Freeze and Reveal: Exposing Modality Bias in Vision-Language Models
by: Kavuri, Vivek Hruday, et al.
Published: (2025)
by: Kavuri, Vivek Hruday, et al.
Published: (2025)
SIA: Enhancing Safety via Intent Awareness for Vision-Language Models
by: Na, Youngjin, et al.
Published: (2025)
by: Na, Youngjin, et al.
Published: (2025)
Toward Understanding Unlearning Difficulty: A Mechanistic Perspective and Circuit-Guided Difficulty Metric
by: Cheng, Jiali, et al.
Published: (2026)
by: Cheng, Jiali, et al.
Published: (2026)
CapRecover: A Cross-Modality Feature Inversion Attack Framework on Vision Language Models
by: Xiu, Kedong, et al.
Published: (2025)
by: Xiu, Kedong, et al.
Published: (2025)
Unlearning for One-Step Generative Models via Unbalanced Optimal Transport
by: Choi, Hyundo, et al.
Published: (2026)
by: Choi, Hyundo, et al.
Published: (2026)
LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model
by: Xue, Yuan, et al.
Published: (2024)
by: Xue, Yuan, et al.
Published: (2024)
BiasICL: In-Context Learning and Demographic Biases of Vision Language Models
by: Xu, Sonnet, et al.
Published: (2025)
by: Xu, Sonnet, et al.
Published: (2025)
Erased but Exploitable: Black-box Embedding-Aware Prompting Against Unlearned Text-to-Image Diffusion Models
by: Koma, Arian Komaei, et al.
Published: (2026)
by: Koma, Arian Komaei, et al.
Published: (2026)
Hierarchy-Aware Multimodal Unlearning for Medical AI
by: Wu, Fengli, et al.
Published: (2025)
by: Wu, Fengli, et al.
Published: (2025)
The Point, the Vision and the Text: Does Point Cloud Boost Spatial Reasoning of Large Language Models? A Bias-Controlled Study
by: Zhang, Weichen, et al.
Published: (2025)
by: Zhang, Weichen, et al.
Published: (2025)
Similar Items
-
VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models
by: Ranjan, Ravi, et al.
Published: (2026) -
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
by: Choi, Dasol, et al.
Published: (2024) -
Can Vision Models Truly Forget? Mirage: Representation-Level Certification of Visual Unlearning
by: Yu, Zhenyu, et al.
Published: (2026) -
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
by: Fan, Chongyu, et al.
Published: (2024) -
Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models
by: Kwon, JuneHyoung, et al.
Published: (2026)