Probabilistic Robustness-driven Universal Adversarial Perturbations with Explainability against Deep Reinforcement Learning-based Intrusion Detection System

arXiv:2609.30605 · cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Robustness — 22× in this paper · explained in 5 episodes
• Ablation — 17× in this paper · explained in 1 episode
• F1 Score — 13× in this paper · explained in 3 episodes
• Ablation study — 12× in this paper · explained in 1 episode
• Probabilistic Robustness — 11× in this paper
• Reinforcement Learning — 10× in this paper · explained in 4 episodes
• Deep Reinforcement Learning — 8× in this paper · explained in 2 episodes
• Transferability — 8× in this paper · explained in 4 episodes
• Adversarial Attacks — 5× in this paper · explained in 1 episode
• Generalizability — 5× in this paper · explained in 6 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Adversarial Examples — 4× in this paper · explained in 2 episodes
• Modified Features — 4× in this paper
• Adversarial Training — 3× in this paper · explained in 1 episode
• Ablation Studies — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Deep Reinforcement Learning (DRL) — 2× in this paper · explained in 2 episodes
• Explainability — 2× in this paper · explained in 3 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Related Features — 2× in this paper
• Unmodified Features — 2× in this paper
• Actor — 1× in this paper · explained in 3 episodes
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• False Negative Rate — 1× in this paper
• Feature Selection — 1× in this paper · explained in 4 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Proximal Policy Optimization — 1× in this paper
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Explaining and Harnessing Adversarial Examples
• A Novel and Practical Universal Adversarial Perturbations against Deep Reinforcement Learning based Intrusion Detection Systems
• A Statistical Approach to Assessing Neural Network Robustness
• Probabilistic Robustness in Deep Learning: A Concise yet Comprehensive Guide
• Towards Deep Learning Models Resistant to Adversarial Attacks
• Towards A Rigorous Science of Interpretable Machine Learning
• Fast Feature Fool: A data independent approach to universal adversarial perturbations
• Proximal Policy Optimization Algorithms

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