Cover Image

Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tiwary, Piyush, Guha, Atri, Panda, Subhodip, P, Prathosh A.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective
by: Panda, Subhodip, et al.
Published: (2024)

FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models
by: Panda, Subhodip, et al.
Published: (2023)

Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI
by: Spartalis, Christoforos N., et al.
Published: (2025)

Unlearning-based Neural Interpretations
by: Choi, Ching Lam, et al.
Published: (2024)

From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2025)

Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images
by: Bonato, Jacopo, et al.
Published: (2024)

One-Shot Machine Unlearning with Mnemonic Code
by: Yamashita, Tomoya, et al.
Published: (2023)

Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization
by: Feng, Xiaohua, et al.
Published: (2024)

Corrective Machine Unlearning
by: Goel, Shashwat, et al.
Published: (2024)

Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning
by: Kim, Hyeonjin, et al.
Published: (2026)

Face Identity Unlearning for Retrieval via Embedding Dispersion
by: Zakharov, Mikhail
Published: (2025)

CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
by: Yang, Tianyu, et al.
Published: (2024)

Multi-Class Unlearning for Image Classification via Weight Filtering
by: Poppi, Samuele, et al.
Published: (2023)

CoUn: Empowering Machine Unlearning via Contrastive Learning
by: Khalil, Yasser H., et al.
Published: (2025)

Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study
by: Crivoi, Carla, et al.
Published: (2025)

Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
by: Pan, Zhixin, et al.
Published: (2024)

Rethinking Post-Unlearning Behavior of Large Vision-Language Models
by: Kim, Minsung, et al.
Published: (2025)

Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU
by: Vidal, Àlex Pujol, et al.
Published: (2025)

Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting
by: Kodge, Sangamesh, et al.
Published: (2023)

Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
by: Fan, Chongyu, et al.
Published: (2024)

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
by: Spartalis, Christoforos N., et al.
Published: (2025)

Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models
by: Moon, Saemi, et al.
Published: (2026)

ICED: Concept-level Machine Unlearning via Interpretable Concept Decomposition
by: Lin, Shen, et al.
Published: (2026)

CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic
by: Lin, Shen, et al.
Published: (2026)

Class Unlearning via Depth-Aware Removal of Forget-Specific Directions
by: Hatami, Arman, et al.
Published: (2026)

MultiDelete for Multimodal Machine Unlearning
by: Cheng, Jiali, et al.
Published: (2023)

Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models
by: Shin, Jiwoo, et al.
Published: (2025)

SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models
by: Liu, Renyang, et al.
Published: (2026)

Secure and Storage-Efficient Deep Learning Models for Edge AI Using Automatic Weight Generation
by: Rahaman, Habibur, et al.
Published: (2025)

Understanding Machine Unlearning Through the Lens of Mode Connectivity
by: Cheng, Jiali, et al.
Published: (2025)

REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models
by: Zou, Yong, et al.
Published: (2026)

Prompting Forgetting: Unlearning in GANs via Textual Guidance
by: Nagasubramaniam, Piyush, et al.
Published: (2025)

Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization
by: Jung, Yoonhwa, et al.
Published: (2024)

$\nabla τ$: Gradient-based and Task-Agnostic machine Unlearning
by: Trippa, Daniel, et al.
Published: (2024)

MRD-LiNet: A Novel Lightweight Hybrid CNN with Gradient-Guided Unlearning for Improved Drought Stress Identification
by: Patra, Aswini Kumar, et al.
Published: (2025)

LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation
by: Tiwary, Piyush, et al.
Published: (2025)

IGAN: Inferent and Generative Adversarial Networks
by: Vignaud, Luc
Published: (2021)

Text-To-Image with Generative Adversarial Networks
by: Momen-Tayefeh, Mehrshad
Published: (2024)

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery
by: Chang, Ching-Chun, et al.
Published: (2024)

ReMOVE: A Reference-free Metric for Object Erasure
by: Chandrasekar, Aditya, et al.
Published: (2024)