:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zion, Yehonatan, Aharon, Porat, Dubin, Ran, Dvir, Amit, Hajaj, Chen
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2407.16539
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CBR -- Boosting Adaptive Classification By Retrieval of Encrypted Network Traffic with Out-of-distribution
by: Lukach, Amir, et al.
Published: (2024)

A Classification-by-Retrieval Framework for Few-Shot Anomaly Detection to Detect API Injection Attacks
by: Aharon, Udi, et al.
Published: (2024)

RoBERTa-Augmented Synthesis for Detecting Malicious API Requests
by: Aharon, Udi, et al.
Published: (2024)

Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User Anomalies
by: Marbel, Revital, et al.
Published: (2024)

MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
by: Chen, Xu-Yang, et al.
Published: (2024)

Data Augmentation for Traffic Classification
by: Wang, Chao, et al.
Published: (2024)

Bias in the Shadows: Explore Shortcuts in Encrypted Network Traffic Classification
by: Wang, Chuyi, et al.
Published: (2026)

The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
by: Zhao, Yuqi, et al.
Published: (2025)

MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classification
by: Chen, Yuxuan, et al.
Published: (2024)

GETA: Generalized Encrypted Traffic Analysis
by: Gunasekara, Ransika, et al.
Published: (2026)

TAO-Net: Two-stage Adaptive OOD Classification Network for Fine-grained Encrypted Traffic Classification
by: Wang, Zihao, et al.
Published: (2025)

Hardware-Aware Neural Architecture Search for Encrypted Traffic Classification on Resource-Constrained Devices
by: Chehade, Adel, et al.
Published: (2025)

Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis
by: Choorod, Pitpimon, et al.
Published: (2024)

One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning
by: Zhang, Haozhen, et al.
Published: (2024)

Overcoming Data Limitations in Internet Traffic Forecasting: LSTM Models with Transfer Learning and Wavelet Augmentation
by: Saha, Sajal, et al.
Published: (2024)

Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO
by: Daum, Shilo, et al.
Published: (2024)

Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
by: Zhang, Haozhen, et al.
Published: (2025)

NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks
by: Lan, Yi-Shan, et al.
Published: (2024)

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic
by: Zeleke, Sileshi Nibret, et al.
Published: (2025)

Time-Distributed Feature Learning for Internet of Things Network Traffic Classification
by: Manjunath, Yoga Suhas Kuruba, et al.
Published: (2024)

BiLCNet : BiLSTM-Conformer Network for Encrypted Traffic Classification with 5G SA Physical Channel Records
by: Ma, Ke, et al.
Published: (2025)

A Pipeline of Augmentation and Sequence Embedding for Classification of Imbalanced Network Traffic
by: Shokri, Matin, et al.
Published: (2025)

Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices
by: Li, Hangyu, et al.
Published: (2025)

Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
by: Islam, Md Ruman, 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)

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
by: Xia, Yutong, et al.
Published: (2024)

Personalized Reinforcement Learning with a Budget of Policies
by: Ivanov, Dmitry, et al.
Published: (2024)

ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis
by: Hirszowicz, Ortal, et al.
Published: (2024)

Advancing Eurasia Fire Understanding Through Machine Learning Techniques
by: Kriuk, Boris
Published: (2025)

Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
by: Behboudi, Noushin, et al.
Published: (2024)

Diagnosis-based mortality prediction for intensive care unit patients via transfer learning
by: Xu, Mengqi, et al.
Published: (2025)

Robust inference for risk heterogeneity under group imbalance
by: Xu, Mengqi, 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)

Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration
by: Zisser, Moshe, et al.
Published: (2023)

Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
by: Kalwar, Jawad Hussain, et al.
Published: (2024)

No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks
by: Refael, Yehonatan, et al.
Published: (2025)

Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness
by: Elisha, Yehonatan, et al.
Published: (2026)

Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics
by: Avidan, Yehonatan, et al.
Published: (2023)

Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data
by: Margaryan, Mane, et al.
Published: (2022)

Efficient Skip Connections Realization for Secure Inference on Encrypted Data
by: Drucker, Nir, et al.
Published: (2023)