MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yuxuan, Li, Rongpeng, Zhao, Zhifeng, Zhang, Honggang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
by: Chen, Xu-Yang, et al.
Published: (2024)
by: Chen, Xu-Yang, et al.
Published: (2024)
GETA: Generalized Encrypted Traffic Analysis
by: Gunasekara, Ransika, et al.
Published: (2026)
by: Gunasekara, Ransika, et al.
Published: (2026)
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
by: Zhang, Haozhen, et al.
Published: (2025)
by: Zhang, Haozhen, et al.
Published: (2025)
Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic
by: Zeleke, Sileshi Nibret, et al.
Published: (2025)
by: Zeleke, Sileshi Nibret, et al.
Published: (2025)
TrafficMoE: Heterogeneity-aware Mixture of Experts for Encrypted Traffic Classification
by: He, Qing, et al.
Published: (2026)
by: He, Qing, et al.
Published: (2026)
Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO
by: Daum, Shilo, et al.
Published: (2024)
by: Daum, Shilo, et al.
Published: (2024)
Buffer Overflow in Mixture of Experts
by: Hayes, Jamie, et al.
Published: (2024)
by: Hayes, Jamie, et al.
Published: (2024)
MalRAG: A Retrieval-Augmented LLM Framework for Open-set Malicious Traffic Identification
by: Luo, Xiang, et al.
Published: (2025)
by: Luo, Xiang, et al.
Published: (2025)
Tighter Risk Bounds for Mixtures of Experts
by: Akretche, Wissam, et al.
Published: (2024)
by: Akretche, Wissam, et al.
Published: (2024)
Differentially Private Training of Mixture of Experts Models
by: Tholoniat, Pierre, et al.
Published: (2024)
by: Tholoniat, Pierre, et al.
Published: (2024)
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense
by: Han, Qiao, et al.
Published: (2024)
by: Han, Qiao, et al.
Published: (2024)
Where Do Flow Semantics Reside? A Protocol-Native Tabular Pretraining Paradigm for Encrypted Traffic Classification
by: Huang, Sizhe, et al.
Published: (2026)
by: Huang, Sizhe, et al.
Published: (2026)
Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
by: Islam, Md Ruman, et al.
Published: (2024)
by: Islam, Md Ruman, et al.
Published: (2024)
Efficient Encrypted Computation in Convolutional Spiking Neural Networks with TFHE
by: Guo, Longfei, et al.
Published: (2026)
by: Guo, Longfei, et al.
Published: (2026)
FHE-Agent: Automating CKKS Configuration for Practical Encrypted Inference via an LLM-Guided Agentic Framework
by: Xu, Nuo, et al.
Published: (2025)
by: Xu, Nuo, et al.
Published: (2025)
TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation
by: Cui, Tianyu, et al.
Published: (2025)
by: Cui, Tianyu, et al.
Published: (2025)
Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis
by: Choorod, Pitpimon, et al.
Published: (2024)
by: Choorod, Pitpimon, et al.
Published: (2024)
X-PRINT:Platform-Agnostic and Scalable Fine-Grained Encrypted Traffic Fingerprinting
by: Zhu, YuKun, et al.
Published: (2025)
by: Zhu, YuKun, et al.
Published: (2025)
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
by: Xue, Jiaqi, et al.
Published: (2025)
by: Xue, Jiaqi, et al.
Published: (2025)
Efficient Skip Connections Realization for Secure Inference on Encrypted Data
by: Drucker, Nir, et al.
Published: (2023)
by: Drucker, Nir, et al.
Published: (2023)
Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs
by: Jiang, Yukun, et al.
Published: (2026)
by: Jiang, Yukun, et al.
Published: (2026)
CryptoTrain: Fast Secure Training on Encrypted Dataset
by: Xue, Jiaqi, et al.
Published: (2024)
by: Xue, Jiaqi, et al.
Published: (2024)
LLM Watermarking Using Mixtures and Statistical-to-Computational Gaps
by: Abdalla, Pedro, et al.
Published: (2025)
by: Abdalla, Pedro, et al.
Published: (2025)
PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction
by: He, Peilin, et al.
Published: (2025)
by: He, Peilin, et al.
Published: (2025)
A Review and Comparison of AI Enhanced Side Channel Analysis
by: Panoff, Max, et al.
Published: (2024)
by: Panoff, Max, et al.
Published: (2024)
Traveling Salesman-Based Token Ordering Improves Stability in Homomorphically Encrypted Language Models
by: Rho, Donghwan, et al.
Published: (2025)
by: Rho, Donghwan, et al.
Published: (2025)
High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts
by: Maloney, Vivian, et al.
Published: (2023)
by: Maloney, Vivian, et al.
Published: (2023)
A Systematic Study of Code Obfuscation Against LLM-based Vulnerability Detection
by: Li, Xiao, et al.
Published: (2025)
by: Li, Xiao, et al.
Published: (2025)
Building a Robust Risk-Based Access Control System to Combat Ransomware's Capability to Encrypt
by: Begovic, Kenan, et al.
Published: (2026)
by: Begovic, Kenan, et al.
Published: (2026)
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework
by: Cai, Jinyu, et al.
Published: (2024)
by: Cai, Jinyu, et al.
Published: (2024)
RASA: Routing-Aware Safety Alignment for Mixture-of-Experts Models
by: Liang, Jiacheng, et al.
Published: (2026)
by: Liang, Jiacheng, et al.
Published: (2026)
DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning
by: Zhao, Kaixiang, et al.
Published: (2025)
by: Zhao, Kaixiang, et al.
Published: (2025)
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning
by: Feng, Yu, et al.
Published: (2025)
by: Feng, Yu, et al.
Published: (2025)
SCADE: Scalable Framework for Anomaly Detection in High-Performance System
by: Vinay, Vaishali, et al.
Published: (2024)
by: Vinay, Vaishali, et al.
Published: (2024)
MalMoE: Mixture-of-Experts Enhanced Encrypted Malicious Traffic Detection Under Graph Drift
by: Tan, Yunpeng, et al.
Published: (2026)
by: Tan, Yunpeng, et al.
Published: (2026)
Lossless Anti-Distillation Sampling
by: Diao, Zibo, et al.
Published: (2026)
by: Diao, Zibo, et al.
Published: (2026)
ControlNET: A Firewall for RAG-based LLM System
by: Yao, Hongwei, et al.
Published: (2025)
by: Yao, Hongwei, et al.
Published: (2025)
Adaptive Probe-based Steering for Robust LLM Jailbreaking
by: Chen, Junxi, et al.
Published: (2026)
by: Chen, Junxi, et al.
Published: (2026)
CAN-QA: A Question-Answering Benchmark for Reasoning over In-Vehicle CAN Traffic
by: Chen, Jing, et al.
Published: (2026)
by: Chen, Jing, et al.
Published: (2026)
Towards Scalable and Robust Model Versioning
by: Ding, Wenxin, et al.
Published: (2024)
by: Ding, Wenxin, et al.
Published: (2024)
Similar Items
-
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
by: Chen, Xu-Yang, et al.
Published: (2024) -
GETA: Generalized Encrypted Traffic Analysis
by: Gunasekara, Ransika, et al.
Published: (2026) -
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
by: Zhang, Haozhen, et al.
Published: (2025) -
Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic
by: Zeleke, Sileshi Nibret, et al.
Published: (2025) -
TrafficMoE: Heterogeneity-aware Mixture of Experts for Encrypted Traffic Classification
by: He, Qing, et al.
Published: (2026)