Cover Image

Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hammar, Kim, Li, Tao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Cryptography and Security Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Security Response through Online Learning with Adaptive Conjectures
by: Hammar, Kim, et al.
Published: (2024)

Scalable Learning of Intrusion Responses through Recursive Decomposition
by: Hammar, Kim, et al.
Published: (2023)

Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
by: Hammar, Kim, et al.
Published: (2023)

In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach
by: Gao, Yiran, et al.
Published: (2026)

On Model Protection in Federated Learning against Eavesdropping Attacks
by: Maity, Dipankar, et al.
Published: (2025)

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination
by: Hammar, Kim, et al.
Published: (2025)

RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies
by: Behzadan, Vahid, et al.
Published: (2019)

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
by: Gueriani, Afrah, et al.
Published: (2025)

DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool Controllers
by: Aftabi, Navid, et al.
Published: (2025)

Cyber-Resilient System Identification for Power Grid through Bayesian Integration
by: Li, Shimiao, et al.
Published: (2025)

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks
by: Yao, Jianzhu, et al.
Published: (2025)

FTA generation using GenAI with an Autonomy sensor Usecase
by: Shetiya, Sneha Sudhir, et al.
Published: (2024)

An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids
by: Zideh, Mehdi Jabbari, et al.
Published: (2024)

Designing Robust Cyber-Defense Agents with Evolving Behavior Trees
by: Potteiger, Nicholas, et al.
Published: (2024)

A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System
by: Lin, Zong-Zhi, et al.
Published: (2022)

Learning Intrusion Prevention Policies through Optimal Stopping
by: Hammar, Kim, et al.
Published: (2021)

Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search
by: Hammar, Kim, et al.
Published: (2024)

Adaptive Network Security Policies via Belief Aggregation and Rollout
by: Hammar, Kim, et al.
Published: (2025)

A Queueing-Theoretic Framework for Dynamic Attack Surfaces: Data-Integrated Risk Analysis and Adaptive Defense
by: Yun, Jihyeon, et al.
Published: (2026)

Intrusion Prevention through Optimal Stopping
by: Hammar, Kim, et al.
Published: (2021)

Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges
by: Liu, Qin, et al.
Published: (2024)

HCL-MTSAD: Hierarchical Contrastive Consistency Learning for Accurate Detection of Industrial Multivariate Time Series Anomalies
by: Sun, Haili, et al.
Published: (2024)

Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models
by: Tallam, Krti
Published: (2025)

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation
by: Wu, Chengcan, et al.
Published: (2025)

FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation
by: Mitra, Shaswata, et al.
Published: (2025)

Architecting Resilient LLM Agents: A Guide to Secure Plan-then-Execute Implementations
by: Del Rosario, Ron F., et al.
Published: (2025)

Intrusion Tolerance for Networked Systems through Two-Level Feedback Control
by: Hammar, Kim, et al.
Published: (2024)

Risk Averse Alert Prioritization for IDS Using Subnormal Gaussian Fuzzy Models
by: Moran, Murat
Published: (2026)

RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization
by: Feng, Ce, et al.
Published: (2024)

Rounding-Guided Backdoor Injection in Deep Learning Model Quantization
by: Chen, Xiangxiang, et al.
Published: (2025)

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks
by: HaghighiFard, M. Saeid, et al.
Published: (2025)

Automated Traffic Incident Response Plans using Generative Artificial Intelligence: Part 1 -- Building the Incident Response Benchmark
by: Grigorev, Artur, et al.
Published: (2025)

Unsupervised Spatio-Temporal State Estimation for Fine-grained Adaptive Anomaly Diagnosis of Industrial Cyber-physical Systems
by: Sun, Haili, et al.
Published: (2024)

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
by: Kheddar, Hamza, et al.
Published: (2023)

ZTFed-MAS2S: A Zero-Trust Federated Learning Framework with Verifiable Privacy and Trust-Aware Aggregation for Wind Power Data Imputation
by: Li, Yang, et al.
Published: (2025)

Approximate and Weighted Data Reconstruction Attack in Federated Learning
by: Song, Yongcun, et al.
Published: (2023)

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning
by: Jia, Ziye, et al.
Published: (2025)

Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
by: Choquette-Choo, Christopher A., et al.
Published: (2023)

Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach
by: Qu, Zhaoyang, et al.
Published: (2024)

After the Breach: Incident Response within Enterprises
by: Rao, Sumanth
Published: (2024)