Differential Privacy in Generative AI Agents: Analysis and Optimal Tradeoffs
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Yang, Ya-Ting, Zhu, Quanyan |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
From Texts to Shields: Convergence of Large Language Models and Cybersecurity
par: Li, Tao, et autres
Publié: (2025)
par: Li, Tao, et autres
Publié: (2025)
Agentic AI for Cyber Resilience: A New Security Paradigm and Its System-Theoretic Foundations
par: Li, Tao, et autres
Publié: (2025)
par: Li, Tao, et autres
Publié: (2025)
Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats
par: Zhu, Quanyan
Publié: (2025)
par: Zhu, Quanyan
Publié: (2025)
AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents
par: Zheng, Ye, et autres
Publié: (2025)
par: Zheng, Ye, et autres
Publié: (2025)
LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing
par: Zhu, Quanyan
Publié: (2025)
par: Zhu, Quanyan
Publié: (2025)
SoK: Security and Privacy of AI Agents for Blockchain
par: Romandini, Nicolò, et autres
Publié: (2025)
par: Romandini, Nicolò, et autres
Publié: (2025)
A Game-Theoretic Analysis of Auditing Differentially Private Algorithms with Epistemically Disparate Herd
par: Yang, Ya-Ting, et autres
Publié: (2024)
par: Yang, Ya-Ting, 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)
Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning
par: Lee, Joohyung, et autres
Publié: (2023)
par: Lee, Joohyung, et autres
Publié: (2023)
Near-Optimal Reinforcement Learning with Shuffle Differential Privacy
par: Bai, Shaojie, et autres
Publié: (2024)
par: Bai, Shaojie, et autres
Publié: (2024)
Differential Privacy Overview and Fundamental Techniques
par: Fioretto, Ferdinando, et autres
Publié: (2024)
par: Fioretto, Ferdinando, et autres
Publié: (2024)
Privacy-Preserving Retrieval-Augmented Generation with Differential Privacy
par: Koga, Tatsuki, et autres
Publié: (2024)
par: Koga, Tatsuki, et autres
Publié: (2024)
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)
Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents
par: Fang, Chenhao, et autres
Publié: (2025)
par: Fang, Chenhao, et autres
Publié: (2025)
Not My Agent, Not My Boundary? Elicitation of Personal Privacy Boundaries in AI-Delegated Information Sharing
par: Guo, Bingcan, et autres
Publié: (2025)
par: Guo, Bingcan, et autres
Publié: (2025)
Symbiotic Game and Foundation Models for Cyber Deception Operations in Strategic Cyber Warfare
par: Li, Tao, et autres
Publié: (2024)
par: Li, Tao, et autres
Publié: (2024)
MEGA-PT: A Meta-Game Framework for Agile Penetration Testing
par: Ge, Yunfei, et autres
Publié: (2024)
par: Ge, Yunfei, et autres
Publié: (2024)
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
par: Zhu, Kaijie, et autres
Publié: (2025)
par: Zhu, Kaijie, 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 in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
par: Wang, Shouju, et autres
Publié: (2025)
par: Wang, Shouju, et autres
Publié: (2025)
User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data
par: Yang, Haowei, et autres
Publié: (2025)
par: Yang, Haowei, et autres
Publié: (2025)
AI Agent Smart Contract Exploit Generation
par: Gervais, Arthur, et autres
Publié: (2025)
par: Gervais, Arthur, et autres
Publié: (2025)
Protecting Private Code in IDE Autocomplete using Differential Privacy
par: Grigorenko, Evgeny, et autres
Publié: (2026)
par: Grigorenko, Evgeny, et autres
Publié: (2026)
Connect the dots: Dataset Condensation, Differential Privacy, and Adversarial Uncertainty
par: Odoh, Kenneth
Publié: (2024)
par: Odoh, Kenneth
Publié: (2024)
Tabular Data Synthesis with Differential Privacy: A Survey
par: Yang, Mengmeng, et autres
Publié: (2024)
par: Yang, Mengmeng, et autres
Publié: (2024)
Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy
par: Yeh, Lo-Yao, et autres
Publié: (2024)
par: Yeh, Lo-Yao, et autres
Publié: (2024)
Privacy Preservation in Gen AI Applications
par: S, Swetha, et autres
Publié: (2025)
par: S, Swetha, et autres
Publié: (2025)
AgentTrust: Runtime Safety Evaluation and Interception for AI Agent Tool Use
par: Yang, Chenglin
Publié: (2026)
par: Yang, Chenglin
Publié: (2026)
Unveiling Privacy Risks in LLM Agent Memory
par: Wang, Bo, et autres
Publié: (2025)
par: Wang, Bo, et autres
Publié: (2025)
Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response
par: Ozturk, Ozer, et autres
Publié: (2025)
par: Ozturk, Ozer, et autres
Publié: (2025)
Privacy and Security Threat for OpenAI GPTs
par: Wenying, Wei, et autres
Publié: (2025)
par: Wenying, Wei, et autres
Publié: (2025)
Privacy-Preserving Decentralized AI with Confidential Computing
par: Lee, Dayeol, et autres
Publié: (2024)
par: Lee, Dayeol, et autres
Publié: (2024)
A Security Analysis of the OpenClaw AI Agent Framework
par: Suwansathit, Surada, et autres
Publié: (2026)
par: Suwansathit, Surada, et autres
Publié: (2026)
RAG with Differential Privacy
par: Grislain, Nicolas
Publié: (2024)
par: Grislain, Nicolas
Publié: (2024)
SplitAgent: A Privacy-Preserving Distributed Architecture for Enterprise-Cloud Agent Collaboration
par: She, Jianshu
Publié: (2026)
par: She, Jianshu
Publié: (2026)
Evasive Intelligence: Lessons from Malware Analysis for Evaluating AI Agents
par: Aonzo, Simone, et autres
Publié: (2026)
par: Aonzo, Simone, et autres
Publié: (2026)
AgentSCOPE: Evaluating Contextual Privacy Across Agentic Workflows
par: Ngong, Ivoline C., et autres
Publié: (2026)
par: Ngong, Ivoline C., et autres
Publié: (2026)
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents
par: Narajala, Vineeth Sai, et autres
Publié: (2025)
par: Narajala, Vineeth Sai, et autres
Publié: (2025)
Bi-Level Game-Theoretic Planning of Cyber Deception for Cognitive Arbitrage
par: Yang, Ya-Ting, et autres
Publié: (2025)
par: Yang, Ya-Ting, et autres
Publié: (2025)
A Multi-Resolution Dynamic Game Framework for Cross-Echelon Decision-Making in Cyber Warfare
par: Yang, Ya-Ting, et autres
Publié: (2025)
par: Yang, Ya-Ting, et autres
Publié: (2025)
Documents similaires
-
From Texts to Shields: Convergence of Large Language Models and Cybersecurity
par: Li, Tao, et autres
Publié: (2025) -
Agentic AI for Cyber Resilience: A New Security Paradigm and Its System-Theoretic Foundations
par: Li, Tao, et autres
Publié: (2025) -
Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats
par: Zhu, Quanyan
Publié: (2025) -
AudAgent: Automated Auditing of Privacy Policy Compliance in AI Agents
par: Zheng, Ye, et autres
Publié: (2025) -
LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing
par: Zhu, Quanyan
Publié: (2025)