Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Fuente:
arXiv
Saved in:
| Main Authors: | Allana, Sonal, Kankanhalli, Mohan, Dara, Rozita |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards integration of Privacy Enhancing Technologies in Explainable Artificial Intelligence
by: Allana, Sonal, et al.
Published: (2025)
by: Allana, Sonal, et al.
Published: (2025)
Involuntary Jailbreak: On Self-Prompting Attacks
by: Guo, Yangyang, et al.
Published: (2025)
by: Guo, Yangyang, et al.
Published: (2025)
Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence
by: Dittmar, Yannik, et al.
Published: (2026)
by: Dittmar, Yannik, et al.
Published: (2026)
Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy
by: Piran, Fardin Jalil, et al.
Published: (2025)
by: Piran, Fardin Jalil, et al.
Published: (2025)
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics
by: Alam, Shahid, et al.
Published: (2024)
by: Alam, Shahid, et al.
Published: (2024)
Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models
by: Sinha, Yash, et al.
Published: (2025)
by: Sinha, Yash, et al.
Published: (2025)
A Privacy-Preserving Federated Learning Method with Homomorphic Encryption in Omics Data
by: Negoya, Yusaku, et al.
Published: (2025)
by: Negoya, Yusaku, et al.
Published: (2025)
Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges
by: Manthena, Harikha, et al.
Published: (2024)
by: Manthena, Harikha, et al.
Published: (2024)
X-DFS: Explainable Artificial Intelligence Guided Design-for-Security Solution Space Exploration
by: Mahfuz, Tanzim, et al.
Published: (2024)
by: Mahfuz, Tanzim, et al.
Published: (2024)
Privacy-Preserving LLMs Routing
by: Wu, Xidong, et al.
Published: (2026)
by: Wu, Xidong, et al.
Published: (2026)
Federated Learning Based Decentralized Adaptive Intelligent Transmission Protocol for Privacy Preserving 6G Networks
by: Ahmed, Ansar
Published: (2025)
by: Ahmed, Ansar
Published: (2025)
Privacy Preservation in Gen AI Applications
by: S, Swetha, et al.
Published: (2025)
by: S, Swetha, et al.
Published: (2025)
Efficient Privacy-Preserving Retrieval Augmented Generation with Distance-Preserving Encryption
by: Ye, Huanyi, et al.
Published: (2026)
by: Ye, Huanyi, et al.
Published: (2026)
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
by: Zeng, Ziqian, et al.
Published: (2024)
by: Zeng, Ziqian, et al.
Published: (2024)
Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives
by: Zeng, Wenxuan, et al.
Published: (2025)
by: Zeng, Wenxuan, et al.
Published: (2025)
The Global Impact of AI-Artificial Intelligence: Recent Advances and Future Directions, A Review
by: Pachegowda, Chandregowda
Published: (2023)
by: Pachegowda, Chandregowda
Published: (2023)
Privacy-Preserving Decentralized AI with Confidential Computing
by: Lee, Dayeol, et al.
Published: (2024)
by: Lee, Dayeol, et al.
Published: (2024)
A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components
by: Camacho, Jose Manuel, et al.
Published: (2024)
by: Camacho, Jose Manuel, et al.
Published: (2024)
A Quantization-based Technique for Privacy Preserving Distributed Learning
by: Colombo, Maurizio, et al.
Published: (2024)
by: Colombo, Maurizio, et al.
Published: (2024)
Cyber Threat Intelligence for Artificial Intelligence Systems
by: Krawczyk, Natalia, et al.
Published: (2026)
by: Krawczyk, Natalia, et al.
Published: (2026)
Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning
by: Ghavamipour, Ali Reza, et al.
Published: (2024)
by: Ghavamipour, Ali Reza, et al.
Published: (2024)
No Free Lunch Theorem for Privacy-Preserving LLM Inference
by: Zhang, Xiaojin, et al.
Published: (2024)
by: Zhang, Xiaojin, et al.
Published: (2024)
Privacy-Preserving Diffusion Model Using Homomorphic Encryption
by: Chen, Yaojian, et al.
Published: (2024)
by: Chen, Yaojian, et al.
Published: (2024)
Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
by: Ghavamipour, Ali Reza, et al.
Published: (2024)
by: Ghavamipour, Ali Reza, et al.
Published: (2024)
On the Foundations of Trustworthy Artificial Intelligence
by: Dunham, TJ
Published: (2026)
by: Dunham, TJ
Published: (2026)
On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction
by: Ezzeddine, Fatima, et al.
Published: (2025)
by: Ezzeddine, Fatima, et al.
Published: (2025)
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
by: Xu, Runhua, et al.
Published: (2025)
by: Xu, Runhua, et al.
Published: (2025)
NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs
by: Nguyen, Khoa, et al.
Published: (2026)
by: Nguyen, Khoa, et al.
Published: (2026)
Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning
by: Díaz, Judith Sáinz-Pardo, et al.
Published: (2026)
by: Díaz, Judith Sáinz-Pardo, et al.
Published: (2026)
PRIVATEEDIT: A Privacy-Preserving Pipeline for Face-Centric Generative Image Editing
by: Tamboli, Dipesh, et al.
Published: (2026)
by: Tamboli, Dipesh, et al.
Published: (2026)
Outsourced Privacy-Preserving Feature Selection Based on Fully Homomorphic Encryption
by: Wakiyama, Koki, et al.
Published: (2025)
by: Wakiyama, Koki, et al.
Published: (2025)
Generating Privacy-Preserving Personalized Advice with Zero-Knowledge Proofs and LLMs
by: Watanabe, Hiroki, et al.
Published: (2025)
by: Watanabe, Hiroki, et al.
Published: (2025)
Privacy-Preserving AI-Enabled Decentralized Learning and Employment Records System
by: Xu, Yuqiao, et al.
Published: (2026)
by: Xu, Yuqiao, et al.
Published: (2026)
Privacy-Preserving Large Language Models: Mechanisms, Applications, and Future Directions
by: Zhao, Guoshenghui, et al.
Published: (2024)
by: Zhao, Guoshenghui, et al.
Published: (2024)
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
by: Zhang, Chaoyu, et al.
Published: (2024)
by: Zhang, Chaoyu, et al.
Published: (2024)
Training with Differential Privacy: A Gradient-Preserving Noise Reduction Approach with Provable Security
by: Wang, Haodi, et al.
Published: (2024)
by: Wang, Haodi, et al.
Published: (2024)
SplitAgent: A Privacy-Preserving Distributed Architecture for Enterprise-Cloud Agent Collaboration
by: She, Jianshu
Published: (2026)
by: She, Jianshu
Published: (2026)
AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlement
by: Wang, Jian Sheng
Published: (2026)
by: Wang, Jian Sheng
Published: (2026)
Unveiling Privacy Risks in LLM Agent Memory
by: Wang, Bo, et al.
Published: (2025)
by: Wang, Bo, et al.
Published: (2025)
Privacy Challenges and Solutions in Retrieval-Augmented Generation-Enhanced LLMs for Healthcare Chatbots: A Review of Applications, Risks, and Future Directions
by: Guan, Shaowei, et al.
Published: (2025)
by: Guan, Shaowei, et al.
Published: (2025)
Similar Items
-
Towards integration of Privacy Enhancing Technologies in Explainable Artificial Intelligence
by: Allana, Sonal, et al.
Published: (2025) -
Involuntary Jailbreak: On Self-Prompting Attacks
by: Guo, Yangyang, et al.
Published: (2025) -
Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence
by: Dittmar, Yannik, et al.
Published: (2026) -
Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy
by: Piran, Fardin Jalil, et al.
Published: (2025) -
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics
by: Alam, Shahid, et al.
Published: (2024)