Imagen de Portada

FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Panda, Subhodip, AP, Prathosh
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
por: Tiwary, Piyush, et al.
Publicado: (2023)

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

f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
por: Panda, Subhodip, et al.
Publicado: (2025)

Spectral Discovery of Continuous Symmetries via Generalized Fourier Transforms
por: Karjol, Pavan, et al.
Publicado: (2026)

WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer
por: Shubham, Kumar, et al.
Publicado: (2024)

Unlearning in Diffusion models under Data Constraints: A Variational Inference Approach
por: Panda, Subhodip, et al.
Publicado: (2025)

Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise
por: Shubham, Kumar, et al.
Publicado: (2026)

AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss Weighting
por: Ganguly, Shreyan, et al.
Publicado: (2024)

Sharpness-Aware Black-Box Optimization
por: Ye, Feiyang, et al.
Publicado: (2024)

FAST: Similarity-based Knowledge Transfer for Efficient Policy Learning
por: Capurso, Alessandro, et al.
Publicado: (2025)

LoMOE: Localized Multi-Object Editing via Multi-Diffusion
por: Chakrabarty, Goirik, et al.
Publicado: (2024)

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

No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
por: Li, Yubo, et al.
Publicado: (2025)

Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMs
por: Jeong, Hyejun, et al.
Publicado: (2024)

Regret Tail Characterization of Optimal Bandit Algorithms with Generic Rewards
por: Panda, Subhodip, et al.
Publicado: (2026)

LiBOG: Lifelong Learning for Black-Box Optimizer Generation
por: Pei, Jiyuan, et al.
Publicado: (2025)

FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection
por: Cui, Jin, et al.
Publicado: (2025)

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs
por: Scholten, Yan, et al.
Publicado: (2025)

FAST-CAD: A Fairness-Aware Framework for Non-Contact Stroke Diagnosis
por: Sha, Tommy, et al.
Publicado: (2025)

Jailbreaking Black Box Large Language Models in Twenty Queries
por: Chao, Patrick, et al.
Publicado: (2023)

FINCH: Locally Visualizing Higher-Order Feature Interactions in Black Box Models
por: Kleinau, Anna, et al.
Publicado: (2025)

Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine
por: Yao, Michael S., et al.
Publicado: (2025)

Feature-Selective Representation Misdirection for Machine Unlearning
por: Chen, Taozhao, et al.
Publicado: (2025)

Machine Unlearning in Low-Dimensional Feature Subspace
por: Fang, Kun, et al.
Publicado: (2026)

ExecTune: Effective Steering of Black-Box LLMs with Guide Models
por: Lingam, Vijay, et al.
Publicado: (2026)

Unlearning Clients, Features and Samples in Vertical Federated Learning
por: Varshney, Ayush K., et al.
Publicado: (2025)

Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box
por: Moreira, Catarina, et al.
Publicado: (2022)

In-Context Black-Box Optimization with Unreliable Feedback
por: Blumer, Nicolas Samuel, et al.
Publicado: (2026)

QUAIL: Quantization Aware Unlearning for Mitigating Misinformation in LLMs
por: Mishra, Himanshu, et al.
Publicado: (2026)

Module-Aware Parameter-Efficient Machine Unlearning on Transformers
por: Bao, Wenjie, et al.
Publicado: (2025)

Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models
por: Liu, Junhao, et al.
Publicado: (2025)

Beyond Linear Surrogates: High-Fidelity Local Explanations for Black-Box Models
por: Shrestha, Sanjeev, et al.
Publicado: (2025)

Bounding-Box Inference for Error-Aware Model-Based Reinforcement Learning
por: Talvitie, Erin J., et al.
Publicado: (2024)

Robust Guided Diffusion for Offline Black-Box Optimization
por: Chen, Can Sam, et al.
Publicado: (2024)

Semantic Prototypes: Enhancing Transparency Without Black Boxes
por: Menis-Mastromichalakis, Orfeas, et al.
Publicado: (2024)

OptunaHub: A Platform for Black-Box Optimization
por: Ozaki, Yoshihiko, et al.
Publicado: (2025)

Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
por: Ko, Myeongseob, et al.
Publicado: (2024)

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
por: Tang, Haoyu, et al.
Publicado: (2024)

Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
por: Furqon, M. T., et al.
Publicado: (2025)

Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
por: Miao, Ruiyao, et al.
Publicado: (2025)