Cover Image

PII-Bench: Evaluating Query-Aware Privacy Protection Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shen, Hao, Gu, Zhouhong, Hong, Haokai, Han, Weili
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculations
by: Salemi, Alireza, et al.
Published: (2026)

RecPS: Privacy Risk Scoring for Recommender Systems
by: He, Jiajie, et al.
Published: (2025)

VisualLeakBench: Auditing the Fragility of Large Vision-Language Models against PII Leakage and Social Engineering
by: Wang, Youting, et al.
Published: (2026)

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
by: Liu, Kangwei, et al.
Published: (2025)

Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
by: Carranza, Aldo Gael, et al.
Published: (2023)

SoK: Agentic Retrieval-Augmented Generation (RAG): Taxonomy, Architectures, Evaluation, and Research Directions
by: Mishra, Saroj, et al.
Published: (2026)

Membership Inference Attacks on LLM-based Recommender Systems
by: He, Jiajie, et al.
Published: (2025)

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning
by: Guo, Junfeng, et al.
Published: (2025)

TITAN: Graph-Executable Reasoning for Cyber Threat Intelligence
by: Simoni, Marco, et al.
Published: (2025)

Token-wise Influential Training Data Retrieval for Large Language Models
by: Lin, Huawei, et al.
Published: (2024)

DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation
by: Gong, Yuyang, et al.
Published: (2026)

One Single Hub Text Breaks CLIP: Identifying Vulnerabilities in Cross-Modal Encoders via Hubness
by: Deguchi, Hiroyuki, et al.
Published: (2026)

EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
by: Lin, Sam, et al.
Published: (2024)

Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy
by: Yang, Haowei, et al.
Published: (2025)

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
by: Mi, Yunqi, et al.
Published: (2025)

CryptoAnalystBench: Failures in Multi-Tool Long-Form LLM Analysis
by: Eswaran, Anushri, et al.
Published: (2026)

Exposing Privacy Risks in Graph Retrieval-Augmented Generation
by: Liu, Jiale, et al.
Published: (2025)

Membership Inference Attacks on Recommender System: A Survey
by: He, Jiajie, et al.
Published: (2025)

Toward Autonomous SOC Operations: End-to-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations
by: Saju, Md Hasan, et al.
Published: (2026)

CyberCane: Neuro-Symbolic RAG for Privacy-Preserving Phishing Detection with Formal Ontology Reasoning
by: Hakim, Safayat Bin, et al.
Published: (2026)

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation
by: Naseh, Ali, et al.
Published: (2025)

SQuaD: The Software Quality Dataset
by: Robredo, Mikel, et al.
Published: (2025)

Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer?
by: Shah, Syed Huma
Published: (2026)

User-Side Realization
by: Sato, Ryoma
Published: (2024)

TableGuard -- Securing Structured & Unstructured Data
by: Sharma, Anantha, et al.
Published: (2024)

Nautilus Compass: Black-box Persona Drift Detection for Production LLM Agents
by: Wang, Chunxiao
Published: (2026)

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)

Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
by: Lilienthal, Derek, et al.
Published: (2023)

Towards Contextual Sensitive Data Detection
by: Telkamp, Liang, et al.
Published: (2025)

An Empirical Study of Privacy Leakage Chains via Prompt Injection in Black-Box Chatbot Environments
by: Yang, Hongjang, et al.
Published: (2026)

PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation
by: Wang, Baiqiang, et al.
Published: (2025)

Retrieval-Augmented Review Generation for Poisoning Recommender Systems
by: Yang, Shiyi, et al.
Published: (2025)

A Decentralized Retrieval Augmented Generation System with Source Reliabilities Secured on Blockchain
by: Lu, Yining, et al.
Published: (2025)

PIIGuard: Mitigating PII Harvesting under Adversarial Sanitization
by: Liu, Mingshuo, et al.
Published: (2026)

FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement
by: Yao, Dezhong, et al.
Published: (2024)

Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy
by: De Faveri, Francesco Luigi, et al.
Published: (2024)

Protecting Copyrighted Material with Unique Identifiers in Large Language Model Training
by: Zhao, Shuai, et al.
Published: (2024)

Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems
by: Yan, Bo, et al.
Published: (2025)

PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action
by: Shao, Yijia, et al.
Published: (2024)

Securing RAG: A Risk Assessment and Mitigation Framework
by: Ammann, Lukas, et al.
Published: (2025)