Cover Image

Searching for Privacy Risks in LLM Agents via Simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yanzhe, Yang, Diyi
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contextualized Privacy Defense for LLM Agents
by: Wen, Yule, et al.
Published: (2026)

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

SafeSearch: Automated Red-Teaming of LLM-Based Search Agents
by: Dong, Jianshuo, et al.
Published: (2025)

Beyond Jailbreaking: Auditing Contextual Privacy in LLM Agents
by: Das, Saswat, et al.
Published: (2025)

NeuroFilter: Privacy Guardrails for Conversational LLM Agents
by: Das, Saswat, et al.
Published: (2026)

Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-cache in LLM Inference
by: Luo, Zhifan, et al.
Published: (2025)

How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?
by: Li, Yuxuan, et al.
Published: (2026)

T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search
by: Lee, Hyomin, et al.
Published: (2026)

The Sum Leaks More Than Its Parts: Compositional Privacy Risks and Mitigations in Multi-Agent Collaboration
by: Patil, Vaidehi, et al.
Published: (2025)

Shadows in the Code: Exploring the Risks and Defenses of LLM-based Multi-Agent Software Development Systems
by: Wang, Xiaoqing, et al.
Published: (2025)

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents
by: Yang, Wenkai, et al.
Published: (2024)

Ghost Tool Calls: Issue-Time Privacy for Speculative Agent Tools
by: Mohammadi, Bardia, et al.
Published: (2026)

Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy
by: Koga, Tatsuki, et al.
Published: (2024)

SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning
by: Zhou, Kaiwen, et al.
Published: (2025)

MAGE: Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory
by: Wang, Yuhui, et al.
Published: (2026)

Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
by: Ngong, Ivoline, et al.
Published: (2025)

When Agents "Misremember" Collectively: Exploring the Mandela Effect in LLM-based Multi-Agent Systems
by: Xu, Naen, et al.
Published: (2026)

Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems
by: Qu, Yubin, et al.
Published: (2026)

Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents
by: Xu, Rongwu, et al.
Published: (2025)

No Attacker Needed: Unintentional Cross-User Contamination in Shared-State LLM Agents
by: Yang, Tiankai, et al.
Published: (2026)

Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings
by: Zhang, Yuanhe, et al.
Published: (2024)

When RAG Chatbots Expose Their Backend: An Anonymized Case Study of Privacy and Security Risks in Patient-Facing Medical AI
by: Madrid-García, Alfredo, et al.
Published: (2026)

Large Language Model Sentinel: LLM Agent for Adversarial Purification
by: Lin, Guang, et al.
Published: (2024)

Unveiling Privacy Risks in LLM Agent Memory
by: Wang, Bo, et al.
Published: (2025)

Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models
by: Chu, Junjie, et al.
Published: (2024)

IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems
by: Wang, Liwen, et al.
Published: (2025)

Measuring Copyright Risks of Large Language Model via Partial Information Probing
by: Zhao, Weijie, et al.
Published: (2024)

IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents
by: An, Hengyu, et al.
Published: (2025)

GradingAttack: Exposing Security Vulnerabilities in LLM Based Educational Grading Agents
by: Li, Xueyi, et al.
Published: (2026)

Relevance as a Vulnerability: How Web Retrieval Degrades Safety Alignment in LLM Agents
by: Nawal, Aditya, et al.
Published: (2026)

Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
by: Mireshghallah, Niloofar, et al.
Published: (2023)

Do Phone-Use Agents Respect Your Privacy?
by: Tang, Zhengyang, et al.
Published: (2026)

Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation
by: Shao, Shuo, et al.
Published: (2025)

MIRAGE: Context-Aware Prompt Injection against Mobile GUI Agents via User-Generated Content
by: Guo, Ruoqi, et al.
Published: (2026)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
by: Zeng, Shenglai, et al.
Published: (2024)

BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
by: Wang, Yifei, et al.
Published: (2024)

Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vulnerabilities
by: Mouzouni, Charafeddine
Published: (2026)

EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage
by: Liao, Zeyi, et al.
Published: (2024)

Towards Reliable and Practical LLM Security Evaluations via Bayesian Modelling
by: Llewellyn, Mary, et al.
Published: (2025)

IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
by: Frikha, Ahmed, et al.
Published: (2024)