Controllability-Aware Adversarial Examples Against LLM-Based Network Traffic Classifiers

arXiv:2607.07739 · cs.CR · Submitted 2026-07-08 · Read on arXiv

Zhenpeng Li

cs.CR

Submitted: 2026-07-08

Comments: 13 pages, 5 figures

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

Terminology

Adversarial Examples — 21× in this paper · explained in 2 episodes
Robustness — 13× in this paper · explained in 5 episodes
Attack Success Rate — 8× in this paper
Benchmark — 8× in this paper · explained in 2 episodes
Directly Controllable — 7× in this paper
Transferability — 6× in this paper · explained in 4 episodes
Adversarial Robustness — 5× in this paper · explained in 3 episodes
Indirectly Controllable — 5× in this paper
Transformer — 5× in this paper · explained in 2 episodes
Ablation — 4× in this paper · explained in 1 episode
Accuracy — 3× in this paper · explained in 1 episode
Adversarial Training — 3× in this paper · explained in 1 episode
Constraint Violation Rate — 3× in this paper
Fine-Tuning — 3× in this paper · explained in 5 episodes
Adversarial Attacks — 2× in this paper · explained in 1 episode
Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
Tokenization — 2× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Adversarial Transferability — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Antithetic sampling — 1× in this paper · explained in 1 episode
Attack Success Rate (ASR) — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
LoRA Adapters — 1× in this paper · explained in 3 episodes
Verification — 1× in this paper · explained in 2 episodes

Sources

Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices

Terminology

Sources

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