Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection

arXiv:2607.13801 · cs.CR, cs.AI, cs.LG · Submitted 2026-07-15 · Read on arXiv

Zhenpeng Li

cs.CR, cs.AI, cs.LG

Submitted: 2026-07-15

Comments: 44 pages, 14 figures, 14 tables. Submitted to Expert Systems with Applications

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 57× in this paper · explained in 1 episode
• Abstention — 38× in this paper · explained in 1 episode
• Alignment — 28× in this paper · explained in 1 episode
• Robustness — 28× in this paper · explained in 5 episodes
• Randomized Smoothing — 27× in this paper
• Fine-Tuning — 24× in this paper · explained in 5 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Adversarial Examples — 5× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Adversarial Robustness — 3× in this paper · explained in 3 episodes
• Adversarial Training — 3× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Adversarial Attacks — 2× in this paper · explained in 1 episode
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Symposium on Security and Privacy — 2× in this paper
• Trace — 2× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Differential Privacy — 1× in this paper · explained in 4 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• SMT solver — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Controllability-Aware Adversarial Examples Against LLM-Based Network Traffic Classifiers
• Explaining and Harnessing Adversarial Examples
• Certified Adversarial Robustness via Randomized Smoothing
• Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
• Certified Adversarial Robustness via Anisotropic Randomized Smoothing
• SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence
• Qwen3 Technical Report

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