Image de couverture de livre

A System for Interactive Examination of Learned Security Policies

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hammar, Kim, Stadler, Rolf
Format:	Preprint
Publié:	2022
Sujets:	Cryptography and Security Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Finding Effective Security Strategies through Reinforcement Learning and Self-Play
par: Hammar, Kim, et autres
Publié: (2020)

Learning Intrusion Prevention Policies through Optimal Stopping
par: Hammar, Kim, et autres
Publié: (2021)

Scalable Learning of Intrusion Responses through Recursive Decomposition
par: Hammar, Kim, et autres
Publié: (2023)

Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
par: Hammar, Kim, et autres
Publié: (2023)

Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search
par: Hammar, Kim, et autres
Publié: (2024)

Intrusion Prevention through Optimal Stopping
par: Hammar, Kim, et autres
Publié: (2021)

Automated Security Response through Online Learning with Adaptive Conjectures
par: Hammar, Kim, et autres
Publié: (2024)

IT Intrusion Detection Using Statistical Learning and Testbed Measurements
par: Wang, Xiaoxuan, et autres
Publié: (2024)

Learned-Database Systems Security
par: Schuster, Roei, et autres
Publié: (2022)

Intrusion Tolerance for Networked Systems through Two-Level Feedback Control
par: Hammar, Kim, et autres
Publié: (2024)

Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization
par: Hammar, Kim, et autres
Publié: (2025)

CSLE: A Reinforcement Learning Platform for Autonomous Security Management
par: Hammar, Kim
Publié: (2026)

The Fundamental Limits of Least-Privilege Learning
par: Stadler, Theresa, et autres
Publié: (2024)

Machine Learning-Based Security Policy Analysis
par: Jain, Krish, et autres
Publié: (2024)

TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
par: Huckelberry, Jacob, et autres
Publié: (2024)

Position: AI Security Policy Should Target Systems, Not Models
par: Riegler, Michael A., et autres
Publié: (2026)

Nemesis: Noise-randomized Encryption with Modular Efficiency and Secure Integration in Machine Learning Systems
par: Zhao, Dongfang
Publié: (2024)

Optimal Security Response to Network Intrusions in IT Systems
par: Hammar, Kim
Publié: (2025)

A Study of Secure Algorithms for Vertical Federated Learning: Take Secure Logistic Regression as an Example
par: Wang, Huan-Chih, et autres
Publié: (2024)

ACE: A Security Architecture for LLM-Integrated App Systems
par: Li, Evan, et autres
Publié: (2025)

Preserving Privacy and Security in Federated Learning
par: Nguyen, Truc, et autres
Publié: (2022)

On the (In)Security of Loading Machine Learning Models
par: Digregorio, Gabriele, et autres
Publié: (2025)

Neutral Agent-based Adversarial Policy Learning against Deep Reinforcement Learning in Multi-party Open Systems
par: Peng, Qizhou, et autres
Publié: (2025)

Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
par: Ye, Mang, et autres
Publié: (2024)

CECILIA: Comprehensive Secure Machine Learning Framework
par: Ünal, Ali Burak, et autres
Publié: (2022)

Transfer Learning for Security: Challenges and Future Directions
par: Li, Adrian Shuai, et autres
Publié: (2024)

Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning
par: Yang, Xue, et autres
Publié: (2024)

A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises
par: Fotohi, Reza, et autres
Publié: (2025)

Securing Transfer-Learned Networks with Reverse Homomorphic Encryption
par: Allison, Robert, et autres
Publié: (2025)

Plinius: Secure and Persistent Machine Learning Model Training
par: Yuhala, Peterson, et autres
Publié: (2021)

Secure Vertical Federated Learning Under Unreliable Connectivity
par: Qiu, Xinchi, et autres
Publié: (2023)

Contextual Agent Security: A Policy for Every Purpose
par: Tsai, Lillian, et autres
Publié: (2025)

A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security
par: Ceviz, Ozlem, et autres
Publié: (2023)

FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication
par: Li, Yang, et autres
Publié: (2023)

Balancing Security and Privacy: The Pivotal Role of AI in Modern Healthcare Systems
par: P, Binu V, et autres
Publié: (2026)

An RL-Based Adaptive Detection Strategy to Secure Cyber-Physical Systems
par: Koley, Ipsita, et autres
Publié: (2021)

A Unified Compliance Aggregator Framework for Automated Multi-Tool Security Assessment of Linux Systems
par: Paul, Sheldon, et autres
Publié: (2026)

A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security
par: Jaiswal, Rahul, et autres
Publié: (2026)

Covert Attacks on Machine Learning Training in Passively Secure MPC
par: Jagielski, Matthew, et autres
Publié: (2025)

SLVR: Securely Leveraging Client Validation for Robust Federated Learning
par: Choi, Jihye, et autres
Publié: (2025)