Selective Fine-Tuning for Targeted and Robust Concept Unlearning
Fuente:
arXiv
Saved in:
| Main Authors: | Mansi, Kori, Avinash, Toni, Francesca, Demetriou, Soteris |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Transparent Visual Reasoning via Object-Centric Agent Collaboration
by: Teoh, Benjamin, et al.
Published: (2025)
by: Teoh, Benjamin, et al.
Published: (2025)
Grounded Object Centric Learning
by: Kori, Avinash, et al.
Published: (2023)
by: Kori, Avinash, et al.
Published: (2023)
Identifiable Object Representations under Spatial Ambiguities
by: Kori, Avinash, et al.
Published: (2025)
by: Kori, Avinash, et al.
Published: (2025)
Causal Representation Learning with Observational Grouping for CXR Classification
by: Rasal, Rajat, et al.
Published: (2025)
by: Rasal, Rajat, et al.
Published: (2025)
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)
Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning
by: Devoto, Alessio, et al.
Published: (2024)
by: Devoto, Alessio, et al.
Published: (2024)
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing
by: Vasilescu, Vlad, et al.
Published: (2025)
by: Vasilescu, Vlad, et al.
Published: (2025)
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
by: Oh, Changdae, et al.
Published: (2023)
by: Oh, Changdae, et al.
Published: (2023)
Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
by: Xia, Tian, et al.
Published: (2025)
by: Xia, Tian, et al.
Published: (2025)
Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness
by: Elisha, Yehonatan, et al.
Published: (2026)
by: Elisha, Yehonatan, et al.
Published: (2026)
Adversarial 3D Virtual Patches using Integrated Gradients
by: You, Chengzeng, et al.
Published: (2024)
by: You, Chengzeng, et al.
Published: (2024)
Factored Classifier-Free Guidance
by: Xia, Tian, et al.
Published: (2025)
by: Xia, Tian, et al.
Published: (2025)
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]
by: Ayoobi, Hamed, et al.
Published: (2023)
by: Ayoobi, Hamed, et al.
Published: (2023)
Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models
by: Ji, Anyang, et al.
Published: (2025)
by: Ji, Anyang, et al.
Published: (2025)
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability
by: Zeng, Hui, et al.
Published: (2024)
by: Zeng, Hui, 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)
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
by: Chen, Haokun, et al.
Published: (2025)
by: Chen, Haokun, et al.
Published: (2025)
LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning
by: Zhang, Haotian, et al.
Published: (2025)
by: Zhang, Haotian, et al.
Published: (2025)
Large Pre-Training Datasets Don't Always Guarantee Robustness after Fine-Tuning
by: Hwang, Jaedong, et al.
Published: (2024)
by: Hwang, Jaedong, et al.
Published: (2024)
Robust MLLM Unlearning via Visual Knowledge Distillation
by: Wang, Yuhang, et al.
Published: (2025)
by: Wang, Yuhang, et al.
Published: (2025)
Diffusion Counterfactual Generation with Semantic Abduction
by: Rasal, Rajat, et al.
Published: (2025)
by: Rasal, Rajat, et al.
Published: (2025)
ICED: Concept-level Machine Unlearning via Interpretable Concept Decomposition
by: Lin, Shen, et al.
Published: (2026)
by: Lin, Shen, et al.
Published: (2026)
FlipConcept: Tuning-Free Multi-Concept Personalization for Text-to-Image Generation
by: Woo, Young Beom, et al.
Published: (2025)
by: Woo, Young Beom, et al.
Published: (2025)
Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations
by: Kwon, Dahee, et al.
Published: (2025)
by: Kwon, Dahee, et al.
Published: (2025)
Visual Agentic Reinforcement Fine-Tuning
by: Liu, Ziyu, et al.
Published: (2025)
by: Liu, Ziyu, et al.
Published: (2025)
Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning
by: Kim, Hyeonjin, et al.
Published: (2026)
by: Kim, Hyeonjin, et al.
Published: (2026)
Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning
by: Tang, Ningyuan, et al.
Published: (2024)
by: Tang, Ningyuan, 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)
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
by: Ramasubramanian, Shrinivas, et al.
Published: (2024)
by: Ramasubramanian, Shrinivas, et al.
Published: (2024)
BoxTuning: Directly Injecting the Object Box for Multimodal Model Fine-Tuning
by: Qian, Zekun, et al.
Published: (2026)
by: Qian, Zekun, et al.
Published: (2026)
Flow Stochastic Segmentation Networks
by: Ribeiro, Fabio De Sousa, et al.
Published: (2025)
by: Ribeiro, Fabio De Sousa, et al.
Published: (2025)
VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models
by: Balakrishnan, Ravikumar, et al.
Published: (2025)
by: Balakrishnan, Ravikumar, et al.
Published: (2025)
VISOR: Visual Input-based Steering for Output Redirection in Vision-Language Models
by: Phute, Mansi, et al.
Published: (2025)
by: Phute, Mansi, et al.
Published: (2025)
Fine-Tuning is Fine, if Calibrated
by: Mai, Zheda, et al.
Published: (2024)
by: Mai, Zheda, et al.
Published: (2024)
Memory-Efficient Fine-Tuning for Quantized Diffusion Model
by: Ryu, Hyogon, et al.
Published: (2024)
by: Ryu, Hyogon, et al.
Published: (2024)
Hierarchy-Aware Fine-Tuning of Vision-Language Models
by: Li, Jiayu, et al.
Published: (2025)
by: Li, Jiayu, et al.
Published: (2025)
Remodeling Semantic Relationships in Vision-Language Fine-Tuning
by: Wu, Xiangyang, et al.
Published: (2025)
by: Wu, Xiangyang, et al.
Published: (2025)
A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing
by: Ren, Yi, et al.
Published: (2024)
by: Ren, Yi, et al.
Published: (2024)
Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models
by: Moon, Saemi, et al.
Published: (2026)
by: Moon, Saemi, et al.
Published: (2026)
Efficient Adversarial Training via Criticality-Aware Fine-Tuning
by: Li, Wenyun, et al.
Published: (2026)
by: Li, Wenyun, et al.
Published: (2026)
Similar Items
-
Transparent Visual Reasoning via Object-Centric Agent Collaboration
by: Teoh, Benjamin, et al.
Published: (2025) -
Grounded Object Centric Learning
by: Kori, Avinash, et al.
Published: (2023) -
Identifiable Object Representations under Spatial Ambiguities
by: Kori, Avinash, et al.
Published: (2025) -
Causal Representation Learning with Observational Grouping for CXR Classification
by: Rasal, Rajat, et al.
Published: (2025) -
SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders
by: Li, Qing, et al.
Published: (2025)