Prompting Forgetting: Unlearning in GANs via Textual Guidance
Fuente:
arXiv
Saved in:
| Main Authors: | Nagasubramaniam, Piyush, Karamchandani, Neeraj, Wu, Chen, Zhu, Sencun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Feature Unlearning for Pre-trained GANs and VAEs
by: Moon, Saemi, et al.
Published: (2023)
by: Moon, Saemi, et al.
Published: (2023)
Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
by: Deng, Kaiyuan, et al.
Published: (2026)
by: Deng, Kaiyuan, et al.
Published: (2026)
Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
by: Deng, Kaiyuan, et al.
Published: (2026)
by: Deng, Kaiyuan, et al.
Published: (2026)
Robust Continual Unlearning against Knowledge Erosion and Forgetting Reversal
by: Park, Eun-Ju, et al.
Published: (2026)
by: Park, Eun-Ju, et al.
Published: (2026)
FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning
by: Feng, Qian, et al.
Published: (2026)
by: Feng, Qian, et al.
Published: (2026)
RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance
by: Mukherjee, Avideep, et al.
Published: (2024)
by: Mukherjee, Avideep, et al.
Published: (2024)
Textualize Visual Prompt for Image Editing via Diffusion Bridge
by: Xu, Pengcheng, et al.
Published: (2025)
by: Xu, Pengcheng, et al.
Published: (2025)
Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
by: Hardan, Shahad, et al.
Published: (2025)
by: Hardan, Shahad, et al.
Published: (2025)
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)
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
by: Chen, Tianqi, et al.
Published: (2024)
by: Chen, Tianqi, et al.
Published: (2024)
Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models
by: Lee, Kyungryeol, et al.
Published: (2026)
by: Lee, Kyungryeol, et al.
Published: (2026)
Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models
by: Shin, Jiwoo, et al.
Published: (2025)
by: Shin, Jiwoo, et al.
Published: (2025)
Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning
by: Sanga, Prabhav, et al.
Published: (2025)
by: Sanga, Prabhav, et al.
Published: (2025)
Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias
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)
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
by: Tiwary, Piyush, et al.
Published: (2023)
by: Tiwary, Piyush, et al.
Published: (2023)
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols
by: Kim, Yongwoo, et al.
Published: (2025)
by: Kim, Yongwoo, et al.
Published: (2025)
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
by: Sun, Changchang, et al.
Published: (2024)
by: Sun, Changchang, et al.
Published: (2024)
Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?
by: Haruna, Yunusa, et al.
Published: (2026)
by: Haruna, Yunusa, et al.
Published: (2026)
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
by: Chen, Jiankang, et al.
Published: (2024)
by: Chen, Jiankang, et al.
Published: (2024)
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
by: Yang, Tianyu, et al.
Published: (2024)
by: Yang, Tianyu, et al.
Published: (2024)
Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization
by: Cheng, De, et al.
Published: (2025)
by: Cheng, De, et al.
Published: (2025)
Bridging GANs and Bayesian Neural Networks via Partial Stochasticity
by: Filippone, Maurizio, et al.
Published: (2025)
by: Filippone, Maurizio, et al.
Published: (2025)
Tabular GANs for uneven distribution
by: Ashrapov, Insaf
Published: (2020)
by: Ashrapov, Insaf
Published: (2020)
Intriguing Properties of Modern GANs
by: Friedman, Roy, et al.
Published: (2024)
by: Friedman, Roy, et al.
Published: (2024)
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)
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)
Distilling Diffusion Models into Conditional GANs
by: Kang, Minguk, et al.
Published: (2024)
by: Kang, Minguk, et al.
Published: (2024)
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)
Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization
by: Ding, Xin, et al.
Published: (2025)
by: Ding, Xin, et al.
Published: (2025)
NoT: Federated Unlearning via Weight Negation
by: Khalil, Yasser H., et al.
Published: (2025)
by: Khalil, Yasser H., et al.
Published: (2025)
Machine Unlearning in Forgettability Sequence
by: Chen, Junjie, et al.
Published: (2024)
by: Chen, Junjie, et al.
Published: (2024)
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
by: Hu, Jiacheng, et al.
Published: (2024)
by: Hu, Jiacheng, et al.
Published: (2024)
DragGANSpace: Latent Space Exploration and Control for GANs
by: Odendaal, Kirsten, et al.
Published: (2025)
by: Odendaal, Kirsten, et al.
Published: (2025)
SMaRt: Improving GANs with Score Matching Regularity
by: Xia, Mengfei, et al.
Published: (2023)
by: Xia, Mengfei, et al.
Published: (2023)
Max-Sliced Wasserstein Distance and its use for GANs
by: Deshpande, Ishan, et al.
Published: (2019)
by: Deshpande, Ishan, et al.
Published: (2019)
Pairing Regularization for Mitigating Many-to-One Collapse in GANs
by: Lin, Kuan-Yu, et al.
Published: (2026)
by: Lin, Kuan-Yu, et al.
Published: (2026)
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
by: Wu, Yongliang, et al.
Published: (2024)
by: Wu, Yongliang, et al.
Published: (2024)
Task Switching Without Forgetting via Proximal Decoupling
by: Shamsolmoali, Pourya, et al.
Published: (2026)
by: Shamsolmoali, Pourya, et al.
Published: (2026)
Scalable GANs with Transformers
by: Hyun, Sangeek, et al.
Published: (2025)
by: Hyun, Sangeek, et al.
Published: (2025)
Similar Items
-
Feature Unlearning for Pre-trained GANs and VAEs
by: Moon, Saemi, et al.
Published: (2023) -
Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
by: Deng, Kaiyuan, et al.
Published: (2026) -
Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
by: Deng, Kaiyuan, et al.
Published: (2026) -
Robust Continual Unlearning against Knowledge Erosion and Forgetting Reversal
by: Park, Eun-Ju, et al.
Published: (2026) -
FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning
by: Feng, Qian, et al.
Published: (2026)