Copertina

MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Can, Wang, Jin
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AFGI: Towards Accurate and Fast-convergent Gradient Inversion Attack in Federated Learning
di: Liu, Can, et al.
Pubblicazione: (2024)

Defective Edge Detection Using Cascaded Ensemble Canny Operator
di: Kannan, Anjali Nambiyar Rajkumar
Pubblicazione: (2024)

Enhancing Gradient Inversion Attacks in Federated Learning via Hierarchical Feature Optimization
di: Fang, Hao, et al.
Pubblicazione: (2026)

CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing
di: Xie, Weiyan, et al.
Pubblicazione: (2025)

Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew
di: Peng, Can, et al.
Pubblicazione: (2025)

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

Canny2Palm: Realistic and Controllable Palmprint Generation for Large-scale Pre-training
di: Lan, Xingzeng, et al.
Pubblicazione: (2025)

MAGIA: Sensing Per-Image Signals from Single-Round Averaged Gradients for Label-Inference-Free Gradient Inversion
di: Zhou, Zhanting, et al.
Pubblicazione: (2025)

CDSE-UNet: Enhancing COVID-19 CT Image Segmentation with Canny Edge Detection and Dual-Path SENet Feature Fusion
di: Ding, Jiao, et al.
Pubblicazione: (2024)

Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification
di: Büyüktaş, Barış, et al.
Pubblicazione: (2024)

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning
di: Liu, Tao, et al.
Pubblicazione: (2024)

Gradient Inversion of Federated Diffusion Models
di: Huang, Jiyue, et al.
Pubblicazione: (2024)

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification
di: Liu, Chenying, et al.
Pubblicazione: (2025)

Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
di: Zhang, Jiangning, et al.
Pubblicazione: (2024)

Overload: Latency Attacks on Object Detection for Edge Devices
di: Chen, Erh-Chung, et al.
Pubblicazione: (2023)

Federated Learning with Partially Labeled Data: A Conditional Distillation Approach
di: Wang, Pochuan, et al.
Pubblicazione: (2024)

Hybrid Multi-Stage Learning Framework for Edge Detection: A Survey
di: Pacot, Mark Phil, et al.
Pubblicazione: (2025)

On the Vulnerability of Skip Connections to Model Inversion Attacks
di: Koh, Jun Hao, et al.
Pubblicazione: (2024)

GI-NAS: Boosting Gradient Inversion Attacks Through Adaptive Neural Architecture Search
di: Yu, Wenbo, et al.
Pubblicazione: (2024)

Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation
di: Jiang, Shiyi, et al.
Pubblicazione: (2025)

Prompt-driven Transferable Adversarial Attack on Person Re-Identification with Attribute-aware Textual Inversion
di: Bian, Yuan, et al.
Pubblicazione: (2025)

Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses
di: Fang, Hao, et al.
Pubblicazione: (2024)

Learning Knowledge-based Prompts for Robust 3D Mask Presentation Attack Detection
di: Jiang, Fangling, et al.
Pubblicazione: (2025)

Model Inversion Attacks Through Target-Specific Conditional Diffusion Models
di: Li, Ouxiang, et al.
Pubblicazione: (2024)

Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens
di: Zheng, Zhiwen, et al.
Pubblicazione: (2026)

FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs
di: Li, Jinmin, et al.
Pubblicazione: (2024)

Dual DETRs for Multi-Label Temporal Action Detection
di: Zhu, Yuhan, et al.
Pubblicazione: (2024)

Breaking the Black-Box: Confidence-Guided Model Inversion Attack for Distribution Shift
di: Liu, Xinhao, et al.
Pubblicazione: (2024)

A Multiscale Gradient Fusion Method for Edge Detection in Color Images Utilizing the CBM3D Filter
di: Wang, Zhuoyue, et al.
Pubblicazione: (2024)

GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
di: Yao, Ruijie, et al.
Pubblicazione: (2023)

Semantic-Aware Representation Learning via Conditional Transport for Multi-Label Image Classification
di: Xie, Ren-Dong, et al.
Pubblicazione: (2025)

Subpixel Edge Localization Based on Converted Intensity Summation under Stable Edge Region
di: Yang, Yingyuan, et al.
Pubblicazione: (2025)

Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration
di: Chen, Tianshui, et al.
Pubblicazione: (2024)

Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels
di: Xia, Qiming, et al.
Pubblicazione: (2025)

Rebalancing Multi-Label Class-Incremental Learning
di: Du, Kaile, et al.
Pubblicazione: (2024)

Federated Learning with Instance-Dependent Noisy Label
di: Wang, Lei, et al.
Pubblicazione: (2023)

TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models
di: Xiang, Qianlong, et al.
Pubblicazione: (2026)

DeCLIP: Decoupled Prompting for CLIP-based Multi-Label Class-Incremental Learning
di: Du, Kaile, et al.
Pubblicazione: (2025)

Incomplete Multi-Label Image Recognition by Co-learning Semantic-Aware Features and Label Recovery
di: He, Zhi-Fen, et al.
Pubblicazione: (2025)

ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic Inversion
di: Dou, Yimin, et al.
Pubblicazione: (2023)