Cover Image

PrivAgE: A Toolchain for Privacy-Preserving Distributed Aggregation on Edge-Devices

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liebenow, Johannes, Imort, Timothy, Fuchs, Yannick, Heisel, Marcel, Käding, Nadja, Rupp, Jan, Mohammadi, Esfandiar
Format:	Preprint
Published:	2023
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DPM: Clustering Sensitive Data through Separation
by: Liebenow, Johannes, et al.
Published: (2023)

DP-HYPE: Distributed Differentially Private Hyperparameter Search
by: Liebenow, Johannes, et al.
Published: (2025)

Understanding the Theoretical Guarantees of DPM
by: Schütt, Yara, et al.
Published: (2025)

PrivTune: Efficient and Privacy-Preserving Fine-Tuning of Large Language Models via Device-Cloud Collaboration
by: Liu, Yi, et al.
Published: (2025)

PrivFED -- A Framework for Privacy-Preserving Federated Learning in Enhanced Breast Cancer Diagnosis
by: Jha, Maithili, et al.
Published: (2024)

Private Blind Model Averaging - Distributed, Non-interactive, and Convergent
by: Kirschte, Moritz, et al.
Published: (2022)

PrivLLMSwarm: Privacy-Preserving LLM-Driven UAV Swarms for Secure IoT Surveillance
by: Ayana, Jifar Wakuma, et al.
Published: (2025)

PrivFly: A Privacy-Preserving Self-Supervised Framework for Rare Attack Detection in IoFT
by: Menssouri, Safaa, et al.
Published: (2026)

VPAS: Publicly Verifiable and Privacy-Preserving Aggregate Statistics on Distributed Datasets
by: Alghazwi, Mohammed, et al.
Published: (2024)

PrivCode: When Code Generation Meets Differential Privacy
by: Liu, Zheng, et al.
Published: (2025)

S-BDT: Distributed Differentially Private Boosted Decision Trees
by: Peinemann, Thorsten, et al.
Published: (2023)

Probabilistic Counters for Privacy Preserving Data Aggregation
by: Bojko, Dominik, et al.
Published: (2020)

PrivTru: A Privacy-by-Design Data Trustee Minimizing Information Leakage
by: Gehring, Lukas, et al.
Published: (2025)

DDP-SA: Scalable Privacy-Preserving Federated Learning via Distributed Differential Privacy and Secure Aggregation
by: Wei, Wenjing, et al.
Published: (2026)

PrivAR: Real-Time Privacy Protection for Location-Based Augmented Reality Applications
by: Seeam, Shafizur Rahman, et al.
Published: (2025)

Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning
by: Behnia, Rouzbeh, et al.
Published: (2023)

PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy
by: Mao, Yulian, et al.
Published: (2024)

PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks
by: Yang, Xin, et al.
Published: (2024)

PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models
by: Li, Yang, et al.
Published: (2024)

PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy
by: Zhang, Sen, et al.
Published: (2025)

Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning
by: Ghavamipour, Ali Reza, et al.
Published: (2024)

Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
by: Ghavamipour, Ali Reza, et al.
Published: (2024)

Differentially Private Inductive Miner
by: Schulze, Max, et al.
Published: (2024)

Proteus: A Practical Framework for Privacy-Preserving Device Logs
by: Goutam, Sanket, et al.
Published: (2026)

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models
by: Li, Haoran, et al.
Published: (2023)

PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store
by: Silva, Bhanuka, et al.
Published: (2026)

Privacy-Preserving Identifier Checking in 5G
by: Gräfenstein, Marcel D. S. K., et al.
Published: (2025)

Non-omniscient backdoor injection with one poison sample: Proving the one-poison hypothesis for linear regression, linear classification, and 2-layer ReLU neural networks
by: Peinemann, Thorsten, et al.
Published: (2025)

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
by: Xu, Runhua, et al.
Published: (2025)

MultiPriv: Benchmarking Individual-Level Privacy Reasoning in Vision-Language Models
by: Sun, Xiongtao, et al.
Published: (2025)

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents
by: Chen, Yining, et al.
Published: (2026)

Threshold-Protected Searchable Sharing: Privacy Preserving Aggregated-ANN Search for Collaborative RAG
by: Guo, Ruoyang Rykie
Published: (2025)

PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification
by: Garza, Leon, et al.
Published: (2024)

Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning
by: Lee, Hunjae "Timothy", et al.
Published: (2023)

Got Root? A Linux Priv-Esc Benchmark
by: Happe, Andreas, et al.
Published: (2024)

Privacy-Preserving Hierarchical Model-Distributed Inference
by: Dehkordi, Fatemeh Jafarian, et al.
Published: (2024)

Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices
by: Harenčák, Damian, et al.
Published: (2026)

Privacy-Preserving Edge Computing from Pairing-Based Inner Product Functional Encryption
by: Banerjee, Utsav
Published: (2025)

PrivHAR-Bench: A Graduated Privacy Benchmark Dataset for Video-Based Action Recognition
by: Ansari, Samar
Published: (2026)

ComPrivDet: Efficient Privacy Object Detection in Compressed Domains Through Inference Reuse
by: Yao, Yunhao, et al.
Published: (2026)