Cover Image

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ye, Rui, Chai, Jingyi, Liu, Xiangrui, Yang, Yaodong, Wang, Yanfeng, Chen, Siheng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Cryptography and Security Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models
by: Ye, Rui, et al.
Published: (2024)

PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety
by: Zhang, Zaibin, et al.
Published: (2024)

Memory Poisoning Attack and Defense on Memory Based LLM-Agents
by: Sunil, Balachandra Devarangadi, et al.
Published: (2026)

Secure Forgetting: A Framework for Privacy-Driven Unlearning in Large Language Model (LLM)-Based Agents
by: Ye, Dayong, et al.
Published: (2026)

SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces
by: Jin, Chang, et al.
Published: (2026)

When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems
by: Zhang, Lingxi, et al.
Published: (2026)

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
by: Ye, Rui, et al.
Published: (2024)

Quantitative Resilience Modeling for Autonomous Cyber Defense
by: Cadet, Xavier, et al.
Published: (2025)

EncGPT: A Multi-Agent Workflow for Dynamic Encryption Algorithms
by: Li, Donghe, et al.
Published: (2025)

Beyond Input Guardrails: Reconstructing Cross-Agent Semantic Flows for Execution-Aware Attack Detection
by: Wei, Yangyang, et al.
Published: (2026)

CEE: An Inference-Time Jailbreak Defense for Embodied Intelligence via Subspace Concept Rotation
by: Yang, Jirui, et al.
Published: (2025)

X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents
by: Rahman, Salman, et al.
Published: (2025)

Multi-Agent Actor-Critics in Autonomous Cyber Defense
by: Wang, Mingjun, et al.
Published: (2024)

Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
by: Singh, Aditya Vikram, et al.
Published: (2024)

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
by: Ye, Rui, et al.
Published: (2024)

DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents
by: Yang, Shiyi, et al.
Published: (2025)

MAS-Shield: A Defense Framework for Secure and Efficient LLM MAS
by: Wang, Kaixiang, et al.
Published: (2025)

AutoRISE: Agent-Driven Strategy Evolution for Red-Teaming Large Language Models
by: Gautam, Tanmay, et al.
Published: (2026)

Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning
by: Zhang, Yiyao, et al.
Published: (2026)

PILLAR: an AI-Powered Privacy Threat Modeling Tool
by: Mollaeefar, Majid, et al.
Published: (2024)

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models
by: Saha, Dipayan, et al.
Published: (2025)

Breaking the Secret: Economic Interventions for Combating Collusion in Embodied Multi-Agent Systems
by: Liu, Qi, et al.
Published: (2026)

Aegis: Towards Governance, Integrity, and Security of AI Voice Agents
by: Li, Xiang, et al.
Published: (2026)

Enhancing the Robustness of QMIX against State-adversarial Attacks
by: Guo, Weiran, et al.
Published: (2023)

Formalizing the Safety, Security, and Functional Properties of Agentic AI Systems
by: Allegrini, Edoardo, et al.
Published: (2025)

Web Fraud Attacks Against LLM-Driven Multi-Agent Systems
by: Kong, Dezhang, et al.
Published: (2025)

Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries
by: Laws, Matthew D., et al.
Published: (2026)

Effective Red-Teaming of Policy-Adherent Agents
by: Nakash, Itay, et al.
Published: (2025)

A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration
by: Bonfanti, Chiara, et al.
Published: (2025)

ScamAgents: How AI Agents Can Simulate Human-Level Scam Calls
by: Badhe, Sanket
Published: (2025)

Voting-Bloc Entropy: A New Metric for DAO Decentralization
by: Fábrega, Andrés, et al.
Published: (2025)

Trustworthy Decentralized Autonomous Machines: A New Paradigm in Automation Economy
by: Castillo, Fernando, et al.
Published: (2025)

Decentralized Multi-Agent System with Trust-Aware Communication
by: Ding, Yepeng, et al.
Published: (2025)

AI Agents with Decentralized Identifiers and Verifiable Credentials
by: Garzon, Sandro Rodriguez, et al.
Published: (2025)

Incentive Mechanism Design for Privacy-Preserving Decentralized Blockchain Relayers
by: Jebari, Boutaina, et al.
Published: (2026)

BMC4TimeSec: Verification Of Timed Security Protocols
by: Zbrzezny, Agnieszka M.
Published: (2026)

Towards Transparent and Incentive-Compatible Collaboration in Decentralized LLM Multi-Agent Systems: A Blockchain-Driven Approach
by: Qi, Minfeng, et al.
Published: (2025)

SoK: Security of Autonomous LLM Agents in Agentic Commerce
by: Mao, Qian'ang, et al.
Published: (2026)

The Best-Laid SCHEMEs: Coordinated Sabotage and Monitoring in Multi-Agent Systems
by: Radev, Nikolay, et al.
Published: (2026)

ClawCoin: An Agentic AI-Native Cryptocurrency for Decentralized Agent Economies
by: Li, Shaoyu, et al.
Published: (2026)