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netFound: Foundation Model for Network Security
v1v2v3v4 (latest)

netFound: Foundation Model for Network Security

25 October 2023
Satyandra Guthula
Navya Battula
Roman Beltiukov
Wenbo Guo
Arpit Gupta
Inder Monga
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "netFound: Foundation Model for Network Security"

43 / 43 papers shown
Title
Demystifying Network Foundation Models
Demystifying Network Foundation Models
Sylee
Beltiukov
Satyandra Guthula
Wenbo Guo
W. Willinger
139
1
0
27 Sep 2025
ConCap: Practical Network Traffic Generation for Flow-based Intrusion Detection Systems
ConCap: Practical Network Traffic Generation for Flow-based Intrusion Detection Systems
Miel Verkerken
Laurens D'hooge
B. Volckaert
F. Turck
Giovanni Apruzzese
133
0
0
19 Sep 2025
Making Logic a First-Class Citizen in Network Data Generation with ML
Making Logic a First-Class Citizen in Network Data Generation with ML
Hongyu He
Minhao Jin
Maria Apostolaki
139
1
0
30 Jun 2025
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of ThingsIEEE Internet of Things Journal (IEEE IoT J.), 2025
Kai Li
Conggai Li
Xin Yuan
Shenghong Li
Sai Zou
...
W. Ni
Dusit Niyato
Abbas Jamalipour
Falko Dressler
Ozgur B. Akan
AI4CE
135
8
0
26 May 2025
Self-Supervised Transformer-based Contrastive Learning for Intrusion Detection Systems
Self-Supervised Transformer-based Contrastive Learning for Intrusion Detection Systems
Ippokratis Koukoulis
Ilias Syrigos
Thanasis Korakis
313
5
0
12 May 2025
LLMs' Suitability for Network Security: A Case Study of STRIDE Threat Modeling
LLMs' Suitability for Network Security: A Case Study of STRIDE Threat Modeling
AbdulAziz AbdulGhaffar
Ashraf Matrawy
293
2
0
07 May 2025
Frontier AI's Impact on the Cybersecurity Landscape
Frontier AI's Impact on the Cybersecurity Landscape
Wenbo Guo
Wenbo Guo
Tianneng Shi
Yu Yang
Andy Zhang
Patrick Gage Kelley
Kurt Thomas
Dawn Song
Dawn Song
443
12
0
07 Apr 2025
Towards a graph-based foundation model for network traffic analysis
Towards a graph-based foundation model for network traffic analysis
Louis Van Langendonck
Ismael Castell-Uroz
Pere Barlet-Ros
222
3
0
12 Sep 2024
TrojFM: Resource-efficient Backdoor Attacks against Very Large
  Foundation Models
TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models
Yuzhou Nie
Yanting Wang
Jinyuan Jia
Michael J. De Lucia
Nathaniel D. Bastian
Wenbo Guo
Dawn Song
SILMAAML
190
8
0
27 May 2024
TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic
  Analysis and Generation
TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation
Jian Qu
Xiaobo Ma
Jianfeng Li
AI4TS
250
18
0
09 Mar 2024
ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis
ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis
Shinan Liu
Ted Shaowang
Gerry Wan
Jeewon Chae
Jonatas Marques
Sanjay Krishnan
Nick Feamster
209
7
0
06 Feb 2024
NetLLM: Adapting Large Language Models for Networking
NetLLM: Adapting Large Language Models for Networking
Duo Wu
Xianda Wang
Yaqi Qiao
Zhi Wang
Junchen Jiang
Shuguang Cui
Fangxin Wang
278
106
0
04 Feb 2024
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
Yuqiang Sun
Daoyuan Wu
Yue Xue
Han Liu
Wei Ma
Lyuye Zhang
Miaolei Shi
Yingjiu Li
ELM
893
90
0
29 Jan 2024
In Search of netUnicorn: A Data-Collection Platform to Develop
  Generalizable ML Models for Network Security Problems
In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security ProblemsConference on Computer and Communications Security (CCS), 2023
Roman Beltiukov
Wenbo Guo
Arpit Gupta
W. Willinger
199
26
0
15 Jun 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
3.5K
20,141
0
15 Mar 2023
A Comprehensive Survey on Pretrained Foundation Models: A History from
  BERT to ChatGPT
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
Ce Zhou
Qian Li
Chen Li
Jun Yu
Yixin Liu
...
P. Xie
Caiming Xiong
Jian Pei
Philip S. Yu
U. Chicago
AI4CE
306
640
0
18 Feb 2023
Cerberus: Exploring Federated Prediction of Security Events
Cerberus: Exploring Federated Prediction of Security EventsConference on Computer and Communications Security (CCS), 2022
Mohammad Naseri
Yufei Han
Enrico Mariconti
Yun Shen
Gianluca Stringhini
Emiliano De Cristofaro
FedML
214
19
0
07 Sep 2022
A new hope for network model generalization
A new hope for network model generalizationACM Workshop on Hot Topics in Networks (HotNets), 2022
Alexander Dietmüller
Siddhant Ray
Romain Jacob
Laurent Vanbever
AI4CE
184
46
0
12 Jul 2022
Extensible Machine Learning for Encrypted Network Traffic Application
  Labeling via Uncertainty Quantification
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty QuantificationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Steven Jorgensen
J. Holodnak
Jensen Dempsey
Karla de Souza
Ananditha Raghunath
Vernon Rivet
N. Demoes
Andrés Alejos
Allan B. Wollaber
AAML
187
42
0
11 May 2022
Generative Adversarial Networks
Generative Adversarial NetworksInternational Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Gilad Cohen
Raja Giryes
GAN
745
30,270
0
01 Mar 2022
Fine-grained TLS services classification with reject option
Fine-grained TLS services classification with reject option
Jan Luxemburk
T. Čejka
121
39
0
24 Feb 2022
Should You Mask 15% in Masked Language Modeling?
Should You Mask 15% in Masked Language Modeling?Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Alexander Wettig
Tianyu Gao
Zexuan Zhong
Danqi Chen
CVBM
272
189
0
16 Feb 2022
ET-BERT: A Contextualized Datagram Representation with Pre-training
  Transformers for Encrypted Traffic Classification
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic ClassificationThe Web Conference (WWW), 2022
Xinjie Lin
G. Xiong
Gaopeng Gou
Zhen Li
Junzheng Shi
Jiahao Yu
180
356
0
13 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision LearnersComputer Vision and Pattern Recognition (CVPR), 2021
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
1.6K
9,791
0
11 Nov 2021
Hierarchical Transformers Are More Efficient Language Models
Hierarchical Transformers Are More Efficient Language Models
Piotr Nawrot
Szymon Tworkowski
Michał Tyrolski
Lukasz Kaiser
Yuhuai Wu
Christian Szegedy
Henryk Michalewski
212
91
0
26 Oct 2021
Towards Transferable Adversarial Attacks on Vision Transformers
Towards Transferable Adversarial Attacks on Vision TransformersAAAI Conference on Artificial Intelligence (AAAI), 2021
Zhipeng Wei
Yue Yu
Micah Goldblum
Zuxuan Wu
Tom Goldstein
Yu-Gang Jiang
ViTAAML
272
139
0
09 Sep 2021
A Survey on Data-driven Software Vulnerability Assessment and
  Prioritization
A Survey on Data-driven Software Vulnerability Assessment and PrioritizationACM Computing Surveys (CSUR), 2021
T. H. Le
Huaming Chen
Muhammad Ali Babar
360
103
0
18 Jul 2021
Long-Short Transformer: Efficient Transformers for Language and Vision
Long-Short Transformer: Efficient Transformers for Language and Vision
Chen Zhu
Ming-Yu Liu
Chaowei Xiao
Mohammad Shoeybi
Tom Goldstein
Anima Anandkumar
Bryan Catanzaro
ViTVLM
354
156
0
05 Jul 2021
ViTAS: Vision Transformer Architecture Search
ViTAS: Vision Transformer Architecture SearchEuropean Conference on Computer Vision (ECCV), 2021
Xiu Su
Shan You
Jiyang Xie
Mingkai Zheng
Haiwei Yang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
ViT
404
55
0
25 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2021
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
1.5K
14,789
0
17 Jun 2021
Long Range Arena: A Benchmark for Efficient Transformers
Long Range Arena: A Benchmark for Efficient Transformers
Yi Tay
Mostafa Dehghani
Samira Abnar
Songlin Yang
Dara Bahri
Philip Pham
J. Rao
Liu Yang
Sebastian Ruder
Donald Metzler
375
824
0
08 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine
  Learning
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander DÁmour
Katherine A. Heller
D. Moldovan
Ben Adlam
B. Alipanahi
...
Kellie Webster
Steve Yadlowsky
T. Yun
Xiaohua Zhai
D. Sculley
OffRL
377
750
0
06 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.3K
53,494
0
22 Oct 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALMVLM
612
4,772
0
10 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
1.4K
19,430
0
17 Feb 2020
Word Embeddings: A Survey
Word Embeddings: A Survey
Felipe Almeida
Geraldo Xexéo
218
225
0
25 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
2.8K
106,623
0
11 Oct 2018
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion
  Detection
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion DetectionNetwork and Distributed System Security Symposium (NDSS), 2018
Yisroel Mirsky
Tomer Doitshman
Yuval Elovici
A. Shabtai
250
878
0
25 Feb 2018
Deep Packet: A Novel Approach For Encrypted Traffic Classification Using
  Deep Learning
Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning
M. Lotfollahi
Ramin Shirali Hossein Zade
Mahdi Jafari Siavoshani
Mohammdsadegh Saberian
186
917
0
08 Sep 2017
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
2.5K
157,684
0
12 Jun 2017
Deciphering Malware's use of TLS (without Decryption)
Deciphering Malware's use of TLS (without Decryption)Journal of Computer Virology and Hacking Techniques (JCVHT), 2016
Blake Anderson
S. Paul
D. McGrew
115
194
0
06 Jul 2016
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
592
2,444
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.5K
160,277
0
22 Dec 2014
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