Cover Image

IMU: Influence-guided Machine Unlearning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Xindi, Wu, Jing, Zhou, Mingyi, Liang, Pengwei, Harandi, Mehrtash, Phung, Dinh
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Cryptography and Security Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
by: Wu, Jing, et al.
Published: (2024)

Delta-Influence: Unlearning Poisons via Influence Functions
by: Li, Wenjie, et al.
Published: (2024)

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

MUNBa: Machine Unlearning via Nash Bargaining
by: Wu, Jing, et al.
Published: (2024)

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings
by: Hardan, Shahad, et al.
Published: (2025)

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

DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal
by: Shi, Jiaeli, et al.
Published: (2023)

Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure
by: Gu, Hanlin, et al.
Published: (2024)

Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
by: Suriyakumar, Vinith M., et al.
Published: (2024)

Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
by: Gao, Hongcheng, et al.
Published: (2024)

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
by: Lin, Weilin, et al.
Published: (2024)

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

RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
by: Xian, Xun, et al.
Published: (2024)

Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization
by: Luo, Haocheng, et al.
Published: (2025)

AGNES: Abstraction-guided Framework for Deep Neural Networks Security
by: Dhonthi, Akshay, et al.
Published: (2023)

Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
by: Zhang, Yimeng, et al.
Published: (2024)

Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
by: Liu, Kuanrong, et al.
Published: (2024)

Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning
by: Liu, Renyang, et al.
Published: (2025)

A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillance
by: Wang, Huan-Chih, et al.
Published: (2024)

Transferable Adversarial Examples with Bayes Approach
by: Fan, Mingyuan, et al.
Published: (2022)

Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings
by: Fan, Mingyuan, et al.
Published: (2025)

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
by: Fan, Mingyuan, et al.
Published: (2023)

Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
by: Tran, Minh-Tuan, et al.
Published: (2024)

On the Detection of Image-Scaling Attacks in Machine Learning
by: Quiring, Erwin, et al.
Published: (2023)

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

Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects
by: Zhou, Zirun, et al.
Published: (2025)

Busting the Paper Ballot: Voting Meets Adversarial Machine Learning
by: Mahmood, Kaleel, et al.
Published: (2025)

SAT-LDM: Provably Generalizable Image Watermarking for Latent Diffusion Models with Self-Augmented Training
by: Zhang, Lu, et al.
Published: (2024)

ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
by: Pintor, Maura, et al.
Published: (2022)

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

Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
by: Wang, Yanbo, et al.
Published: (2024)

SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images
by: Fan, Mingyuan, et al.
Published: (2024)

Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
by: Fan, Mingyuan, et al.
Published: (2025)

Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning
by: Li, Boheng, et al.
Published: (2025)

R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
by: Sheng, Lijun, et al.
Published: (2025)

Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models
by: Ke, Zong, et al.
Published: (2025)

Dictionary Attack on IMU-based Gait Authentication
by: Kumar, Rajesh, et al.
Published: (2023)

Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target Recognition
by: Hou, Yuchao, et al.
Published: (2025)

Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks
by: Wu, Tao, et al.
Published: (2025)

Bypassing LLM Watermarks with Color-Aware Substitutions
by: Wu, Qilong, et al.
Published: (2024)