Copertina

Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Schott, Lucas, Delas, Josephine, Hajri, Hatem, Gherbi, Elies, Yaich, Reda, Boulahia-Cuppens, Nora, Cuppens, Frederic, Lamprier, Sylvain
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Reward-Preserving Attacks For Robust Reinforcement Learning
di: Schott, Lucas, et al.
Pubblicazione: (2026)

Diffusion-based Adversarial Purification for Intrusion Detection
di: Merzouk, Mohamed Amine, et al.
Pubblicazione: (2024)

Federated Intrusion Detection System Based on Unsupervised Machine Learning
di: Gourceyraud, Maxime, et al.
Pubblicazione: (2025)

Trustless Distributed Symmetric-key Encryption
di: Mouël, Florian Le, et al.
Pubblicazione: (2024)

What is the Best Process Model Representation? A Comparative Analysis for Process Modeling with Large Language Models
di: Brissard, Alexis, et al.
Pubblicazione: (2025)

A Framework for Managing Multifaceted Privacy Leakage While Optimizing Utility in Continuous LBS Interactions
di: Bkakria, Anis, et al.
Pubblicazione: (2024)

Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
di: Petitbois, Mathieu, et al.
Pubblicazione: (2026)

Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning
di: Castanet, Nicolas, et al.
Pubblicazione: (2025)

Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning
di: Goudet, Olivier, et al.
Pubblicazione: (2025)

Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation
di: Botcazou, Ivanhoé, et al.
Pubblicazione: (2025)

Training Table Question Answering via SQL Query Decomposition
di: Mouravieff, Raphaël, et al.
Pubblicazione: (2024)

Structural Deep Encoding for Table Question Answering
di: Mouravieff, Raphaël, et al.
Pubblicazione: (2025)

Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
di: Liu, Zhenyu, et al.
Pubblicazione: (2024)

Graph Analytics for Cyber-Physical System Resilience Quantification
di: Dagnas, Romain, et al.
Pubblicazione: (2025)

Agentic Adversarial QA for Improving Domain-Specific LLMs
di: Grari, Vincent, et al.
Pubblicazione: (2026)

Towards stable AI systems for Evaluating Arabic Pronunciations
di: Zaatiti, Hadi, et al.
Pubblicazione: (2025)

Stein Variational Black-Box Combinatorial Optimization
di: Landais, Thomas, et al.
Pubblicazione: (2026)

Offline Learning of Controllable Diverse Behaviors
di: Petitbois, Mathieu, et al.
Pubblicazione: (2025)

Efficient Federated Intrusion Detection in 5G ecosystem using optimized BERT-based model
di: Adjewa, Frederic, et al.
Pubblicazione: (2024)

LLM-based Continuous Intrusion Detection Framework for Next-Gen Networks
di: Adjewa, Frederic, et al.
Pubblicazione: (2024)

Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses
di: Yichao, Wu, et al.
Pubblicazione: (2025)

A Cuban Physician on the Front Lines in Barcelona Reflects on COVID-19 Responses in Europe and Cuba
di: Marià de Delàs
Pubblicazione: (2020)

Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
di: Carta, Thomas, et al.
Pubblicazione: (2023)

Robustness of Misinformation Classification Systems to Adversarial Examples Through BeamAttack
di: Fazla, Arnisa, et al.
Pubblicazione: (2025)

Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks
di: Zhang, Zongyuan, et al.
Pubblicazione: (2025)

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
di: Lee, Sunwoo, et al.
Pubblicazione: (2025)

Utilizing Adversarial Training for Robust Voltage Control: An Adaptive Deep Reinforcement Learning Method
di: Chung, Sungjoo, et al.
Pubblicazione: (2026)

Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning
di: Canesse, Alexi, et al.
Pubblicazione: (2024)

Reliability of three-state k-out-of-n:G system with non-homogeneous Markov dependent components
di: Boulahia, Abdelmoumene, et al.
Pubblicazione: (2025)

On the Robustness of Adversarial Training Against Uncertainty Attacks
di: Ledda, Emanuele, et al.
Pubblicazione: (2024)

Distributional Adversarial Attacks and Training in Deep Hedging
di: He, Guangyi, et al.
Pubblicazione: (2025)

Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection
di: Neupane, Dhiraj, et al.
Pubblicazione: (2026)

Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation
di: Yamabe, Shojiro, et al.
Pubblicazione: (2024)

How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
di: Costa, Joana C., et al.
Pubblicazione: (2023)

Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
di: Nguyen, Thanh, et al.
Pubblicazione: (2024)

Training-Free Defense Against Adversarial Attacks in Deep Learning MRI Reconstruction
di: Saberi, Mahdi, et al.
Pubblicazione: (2025)

Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training
di: Park, Leo Hyun, et al.
Pubblicazione: (2024)

Training Machine Learning models at the Edge: A Survey
di: Khouas, Aymen Rayane, et al.
Pubblicazione: (2024)

Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness
di: Song, Yufei, et al.
Pubblicazione: (2026)

Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
di: Liu, Qianmei, et al.
Pubblicazione: (2024)