Exploring reinforcement learning for incident response in autonomous military vehicles
Fuente:
arXiv
Saved in:
| Main Authors: | Madsen, Henrik, Grov, Gudmund, Mancini, Federico, Baksaas, Magnus, Sommervoll, Åvald Åslaugson |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Detecting and Eliminating Neural Network Backdoors Through Active Paths with Application to Intrusion Detection
by: Høyheim, Eirik, et al.
Published: (2026)
by: Høyheim, Eirik, et al.
Published: (2026)
LLM-Powered Intent-Based Categorization of Phishing Emails
by: Eilertsen, Even, et al.
Published: (2025)
by: Eilertsen, Even, et al.
Published: (2025)
On the use of neurosymbolic AI for defending against cyber attacks
by: Grov, Gudmund, et al.
Published: (2024)
by: Grov, Gudmund, et al.
Published: (2024)
A Graph-Based Approach to Alert Contextualisation in Security Operations Centres
by: Eckhoff, Magnus Wiik, et al.
Published: (2025)
by: Eckhoff, Magnus Wiik, et al.
Published: (2025)
Towards Agentic Investigation of Security Alerts
by: Eilertsen, Even, et al.
Published: (2026)
by: Eilertsen, Even, et al.
Published: (2026)
Drones that Think on their Feet: Sudden Landing Decisions with Embodied AI
by: Barbosa, Diego Ortiz, et al.
Published: (2025)
by: Barbosa, Diego Ortiz, et al.
Published: (2025)
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
by: Bai, Fengshuo, et al.
Published: (2024)
by: Bai, Fengshuo, et al.
Published: (2024)
PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification
by: Li, Hongwei, et al.
Published: (2025)
by: Li, Hongwei, et al.
Published: (2025)
Time-Constrained Intelligent Adversaries for Automation Vulnerability Testing: A Multi-Robot Patrol Case Study
by: Ward, James C., et al.
Published: (2025)
by: Ward, James C., et al.
Published: (2025)
SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents
by: Yin, Sheng, et al.
Published: (2024)
by: Yin, Sheng, et al.
Published: (2024)
From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems
by: Nagaraja, Neha, et al.
Published: (2026)
by: Nagaraja, Neha, et al.
Published: (2026)
Not What You Asked For: Typographic Attacks in Household Robot Manipulation
by: Iranmanesh, Ali, et al.
Published: (2026)
by: Iranmanesh, Ali, et al.
Published: (2026)
ARACNE: An LLM-Based Autonomous Shell Pentesting Agent
by: Nieponice, Tomas, et al.
Published: (2025)
by: Nieponice, Tomas, et al.
Published: (2025)
Aportes para el cumplimiento del Reglamento (UE) 2024/1689 en robótica y sistemas autónomos
by: Lera, Francisco J. Rodríguez, et al.
Published: (2025)
by: Lera, Francisco J. Rodríguez, et al.
Published: (2025)
WaveVerif: Acoustic Side-Channel based Verification of Robotic Workflows
by: Erdogan, Zeynep Yasemin, et al.
Published: (2025)
by: Erdogan, Zeynep Yasemin, et al.
Published: (2025)
Cyber-Physical Steganography in Robotic Motion Control
by: Chang, Ching-Chun, et al.
Published: (2025)
by: Chang, Ching-Chun, et al.
Published: (2025)
Enhancing Privacy and Security of Autonomous UAV Navigation
by: Aggarwal, Vatsal, et al.
Published: (2024)
by: Aggarwal, Vatsal, et al.
Published: (2024)
DropVLA: An Action-Level Backdoor Attack on Vision-Language-Action Models
by: Xu, Zonghuan, et al.
Published: (2025)
by: Xu, Zonghuan, et al.
Published: (2025)
Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks
by: Xing, Wenpeng, et al.
Published: (2025)
by: Xing, Wenpeng, et al.
Published: (2025)
SoK: On the Semantic AI Security in Autonomous Driving
by: Shen, Junjie, et al.
Published: (2022)
by: Shen, Junjie, et al.
Published: (2022)
SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models
by: Xu, Bingxin, et al.
Published: (2026)
by: Xu, Bingxin, et al.
Published: (2026)
Have You Poisoned My Data? Defending Neural Networks against Data Poisoning
by: De Gaspari, Fabio, et al.
Published: (2024)
by: De Gaspari, Fabio, et al.
Published: (2024)
Robustness of LLM-enabled vehicle trajectory prediction under data security threats
by: Wang, Feilong, et al.
Published: (2025)
by: Wang, Feilong, et al.
Published: (2025)
AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses
by: Carlini, Nicholas, et al.
Published: (2025)
by: Carlini, Nicholas, et al.
Published: (2025)
MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark
by: Corrias, William, et al.
Published: (2025)
by: Corrias, William, et al.
Published: (2025)
Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories
by: Kostas, Rabia Yasa, et al.
Published: (2025)
by: Kostas, Rabia Yasa, et al.
Published: (2025)
Cumplimiento del Reglamento (UE) 2024/1689 en robótica y sistemas autónomos: una revisión sistemática de la literatura
by: Lorenzo, Yoana Pita
Published: (2025)
by: Lorenzo, Yoana Pita
Published: (2025)
SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networks
by: Yasarathna, Tharindu Lakshan, et al.
Published: (2025)
by: Yasarathna, Tharindu Lakshan, et al.
Published: (2025)
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
by: Abbahaddou, Yassine, et al.
Published: (2024)
by: Abbahaddou, Yassine, et al.
Published: (2024)
Exploring the Secondary Risks of Large Language Models
by: Chen, Jiawei, et al.
Published: (2025)
by: Chen, Jiawei, et al.
Published: (2025)
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
by: Ren, Zhiyao, et al.
Published: (2025)
by: Ren, Zhiyao, et al.
Published: (2025)
Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning
by: Lee, Joohyung, et al.
Published: (2023)
by: Lee, Joohyung, et al.
Published: (2023)
Behavior-Aware and Generalizable Defense Against Black-Box Adversarial Attacks for ML-Based IDS
by: Ennaji, Sabrine, et al.
Published: (2025)
by: Ennaji, Sabrine, et al.
Published: (2025)
Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS
by: Ennaji, Sabrine, et al.
Published: (2025)
by: Ennaji, Sabrine, et al.
Published: (2025)
Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective
by: Luo, Xinjian, et al.
Published: (2024)
by: Luo, Xinjian, et al.
Published: (2024)
Exploring the limits of strong membership inference attacks on large language models
by: Hayes, Jamie, et al.
Published: (2025)
by: Hayes, Jamie, et al.
Published: (2025)
Fake detection in imbalance dataset by Semi-supervised learning with GAN
by: Bordbar, Jinus, et al.
Published: (2022)
by: Bordbar, Jinus, et al.
Published: (2022)
Large Empirical Case Study: Go-Explore adapted for AI Red Team Testing
by: Bhatt, Manish, et al.
Published: (2025)
by: Bhatt, Manish, et al.
Published: (2025)
Comprehensive evaluation of Mal-API-2019 dataset by machine learning in malware detection
by: Li, Zhenglin, et al.
Published: (2024)
by: Li, Zhenglin, et al.
Published: (2024)
Generalist++: A Meta-learning Framework for Mitigating Trade-off in Adversarial Training
by: Wang, Yisen, et al.
Published: (2025)
by: Wang, Yisen, et al.
Published: (2025)
Similar Items
-
Detecting and Eliminating Neural Network Backdoors Through Active Paths with Application to Intrusion Detection
by: Høyheim, Eirik, et al.
Published: (2026) -
LLM-Powered Intent-Based Categorization of Phishing Emails
by: Eilertsen, Even, et al.
Published: (2025) -
On the use of neurosymbolic AI for defending against cyber attacks
by: Grov, Gudmund, et al.
Published: (2024) -
A Graph-Based Approach to Alert Contextualisation in Security Operations Centres
by: Eckhoff, Magnus Wiik, et al.
Published: (2025) -
Towards Agentic Investigation of Security Alerts
by: Eilertsen, Even, et al.
Published: (2026)