PRIVATEEDIT: A Privacy-Preserving Pipeline for Face-Centric Generative Image Editing
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Tamboli, Dipesh, Punyamoorty, Vineet, Pawar, Atharv, Aggarwal, Vaneet |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Efficient Privacy-Preserving Retrieval Augmented Generation with Distance-Preserving Encryption
par: Ye, Huanyi, et autres
Publié: (2026)
par: Ye, Huanyi, et autres
Publié: (2026)
Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery
par: Malusare, Aditya, et autres
Publié: (2025)
par: Malusare, Aditya, et autres
Publié: (2025)
NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs
par: Nguyen, Khoa, et autres
Publié: (2026)
par: Nguyen, Khoa, et autres
Publié: (2026)
Privacy-Preserving LLMs Routing
par: Wu, Xidong, et autres
Publié: (2026)
par: Wu, Xidong, et autres
Publié: (2026)
Generating Privacy-Preserving Personalized Advice with Zero-Knowledge Proofs and LLMs
par: Watanabe, Hiroki, et autres
Publié: (2025)
par: Watanabe, Hiroki, et autres
Publié: (2025)
Privacy Preservation in Gen AI Applications
par: S, Swetha, et autres
Publié: (2025)
par: S, Swetha, et autres
Publié: (2025)
Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation
par: Ma, Qian, et autres
Publié: (2026)
par: Ma, Qian, et autres
Publié: (2026)
Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy
par: Koga, Tatsuki, et autres
Publié: (2024)
par: Koga, Tatsuki, et autres
Publié: (2024)
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
par: Zeng, Ziqian, et autres
Publié: (2024)
par: Zeng, Ziqian, et autres
Publié: (2024)
Privacy-Preserving Decentralized AI with Confidential Computing
par: Lee, Dayeol, et autres
Publié: (2024)
par: Lee, Dayeol, et autres
Publié: (2024)
Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy
par: Piran, Fardin Jalil, et autres
Publié: (2025)
par: Piran, Fardin Jalil, et autres
Publié: (2025)
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server
par: Wang, Wenhao, et autres
Publié: (2024)
par: Wang, Wenhao, et autres
Publié: (2024)
A Quantization-based Technique for Privacy Preserving Distributed Learning
par: Colombo, Maurizio, et autres
Publié: (2024)
par: Colombo, Maurizio, et autres
Publié: (2024)
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics
par: Liu, Qinyi, et autres
Publié: (2024)
par: Liu, Qinyi, et autres
Publié: (2024)
StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors
par: Ranganath, Suraj, et autres
Publié: (2026)
par: Ranganath, Suraj, et autres
Publié: (2026)
Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning
par: Ghavamipour, Ali Reza, et autres
Publié: (2024)
par: Ghavamipour, Ali Reza, et autres
Publié: (2024)
No Free Lunch Theorem for Privacy-Preserving LLM Inference
par: Zhang, Xiaojin, et autres
Publié: (2024)
par: Zhang, Xiaojin, et autres
Publié: (2024)
Privacy-Preserving Diffusion Model Using Homomorphic Encryption
par: Chen, Yaojian, et autres
Publié: (2024)
par: Chen, Yaojian, et autres
Publié: (2024)
Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
par: Ghavamipour, Ali Reza, et autres
Publié: (2024)
par: Ghavamipour, Ali Reza, et autres
Publié: (2024)
Context manipulation attacks : Web agents are susceptible to corrupted memory
par: Patlan, Atharv Singh, et autres
Publié: (2025)
par: Patlan, Atharv Singh, et autres
Publié: (2025)
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
par: Xu, Runhua, et autres
Publié: (2025)
par: Xu, Runhua, et autres
Publié: (2025)
Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning
par: Díaz, Judith Sáinz-Pardo, et autres
Publié: (2026)
par: Díaz, Judith Sáinz-Pardo, et autres
Publié: (2026)
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
par: Allana, Sonal, et autres
Publié: (2025)
par: Allana, Sonal, et autres
Publié: (2025)
A Privacy-Preserving Federated Learning Method with Homomorphic Encryption in Omics Data
par: Negoya, Yusaku, et autres
Publié: (2025)
par: Negoya, Yusaku, et autres
Publié: (2025)
Enhancing Privacy and Security of Autonomous UAV Navigation
par: Aggarwal, Vatsal, et autres
Publié: (2024)
par: Aggarwal, Vatsal, et autres
Publié: (2024)
Privacy-Preserving AI-Enabled Decentralized Learning and Employment Records System
par: Xu, Yuqiao, et autres
Publié: (2026)
par: Xu, Yuqiao, et autres
Publié: (2026)
Outsourced Privacy-Preserving Feature Selection Based on Fully Homomorphic Encryption
par: Wakiyama, Koki, et autres
Publié: (2025)
par: Wakiyama, Koki, et autres
Publié: (2025)
Privacy-Preserving Large Language Models: Mechanisms, Applications, and Future Directions
par: Zhao, Guoshenghui, et autres
Publié: (2024)
par: Zhao, Guoshenghui, et autres
Publié: (2024)
SplitAgent: A Privacy-Preserving Distributed Architecture for Enterprise-Cloud Agent Collaboration
par: She, Jianshu
Publié: (2026)
par: She, Jianshu
Publié: (2026)
AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlement
par: Wang, Jian Sheng
Publié: (2026)
par: Wang, Jian Sheng
Publié: (2026)
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
par: Zhang, Chaoyu, et autres
Publié: (2024)
par: Zhang, Chaoyu, et autres
Publié: (2024)
Training with Differential Privacy: A Gradient-Preserving Noise Reduction Approach with Provable Security
par: Wang, Haodi, et autres
Publié: (2024)
par: Wang, Haodi, et autres
Publié: (2024)
Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence
par: Dittmar, Yannik, et autres
Publié: (2026)
par: Dittmar, Yannik, et autres
Publié: (2026)
Towards Privacy-Preserving LLM Inference via Covariant Obfuscation (Technical Report)
par: Lin, Yu, et autres
Publié: (2026)
par: Lin, Yu, et autres
Publié: (2026)
PRSI: Privacy-Preserving Recommendation Model Based on Vector Splitting and Interactive Protocols
par: Cao, Xiaokai, et autres
Publié: (2024)
par: Cao, Xiaokai, et autres
Publié: (2024)
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
par: Gu, Hanlin, et autres
Publié: (2024)
par: Gu, Hanlin, et autres
Publié: (2024)
Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning
par: Zhang, Xiaojin, et autres
Publié: (2025)
par: Zhang, Xiaojin, et autres
Publié: (2025)
Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm
par: Wang, Taotao, et autres
Publié: (2025)
par: Wang, Taotao, et autres
Publié: (2025)
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation
par: Kotal, Anantaa, et autres
Publié: (2024)
par: Kotal, Anantaa, et autres
Publié: (2024)
The Coding Limits of Robust Watermarking for Generative Models
par: Francati, Danilo, et autres
Publié: (2025)
par: Francati, Danilo, et autres
Publié: (2025)
Documents similaires
-
Efficient Privacy-Preserving Retrieval Augmented Generation with Distance-Preserving Encryption
par: Ye, Huanyi, et autres
Publié: (2026) -
Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery
par: Malusare, Aditya, et autres
Publié: (2025) -
NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs
par: Nguyen, Khoa, et autres
Publié: (2026) -
Privacy-Preserving LLMs Routing
par: Wu, Xidong, et autres
Publié: (2026) -
Generating Privacy-Preserving Personalized Advice with Zero-Knowledge Proofs and LLMs
par: Watanabe, Hiroki, et autres
Publié: (2025)