🔐 A list of anonymity papers published from 2012 to 2026.
See the code
We believe that there exist classic anonymity papers which are worth reading regardless of their application domain. Rather than providing overwhelming amount of papers, we would like to provide a curated list of the awesome anonymity papers which are considered as must-reads in certain research domains.
A list of anonymity related papers published from 2012 to 2026.
PDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFTIFS, Bottom Aggregating, Top Separating: An Aggregator and Separator Network for Encrypted Traffic Understanding, PDF
AAAI, MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification, PDF
ACM CCS, Fingerprinting Deep Packet Inspection Devices by Their Ambiguities, PDF
ACM CCS, GAPDiS: Gradient-Assisted Perturbation Design via Sequence Editing for Website Fingerprinting Defense, PDF
ACM CCS, MM4flow: A Pre-trained Multi-modal Model for Versatile Network Traffic Analysis, PDF
ACM CCS, Swallow: A Transfer-Robust Website Fingerprinting Attack via Consistent Feature Learning, PDF
ACM CCS, Training Robust Classifiers for Classifying Encrypted Traffic under Dynamic Network Conditions, PDF
ACM CCS, Training with Only 1.0 ‰ Samples: Malicious Traffic Detection via Cross-Modality Feature Fusion, PDF
ACM KDD, Wedjat: Detecting Sophisticated Evasion Attacks via Real-time Causal Analysis, PDF
AIA, Enhancing DNS-over-HTTPS Traffic Classification in Heterogeneous Networks Through Latent Space Analysis with a Tabular-Variational Autoencoder and Self-Attention Classifier Model, PDF
arXiv, STAR: Semantic-Traffic Alignment and Retrieval for Zero-Shot HTTPS Website Fingerprinting, PDF
ESWA, MET-LLM: Enhancing Large Language Models for Malicious Encrypted Traffic Detection, PDF
ICAACE, A Semi-Supervised Learning Framework for Encrypted Traffic Classification Based on Supervised Contrastive Learning and Masked Sequence Prediction Tasks, PDF
IEEE INFOCOM, Cross-Environmental Website Fingerprinting, PDF
IEEE IoT Journal, A Detection Method for Malware Communication Traffic via Encrypted Traffic Analysis, PDF
IEEE S&P, COUNTMAMBA: A Generalized Website Fingerprinting Attack via Coarse-Grained Representation and Fine-Grained Prediction, PDF
IEEE S&P, SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers, PDF
IEEE S&P, TrafficFormer: An Efficient Pre-trained Model for Traffic Data, PDF
IEEE TDSC, DAIR-FedMoE: Hierarchical MoE for Federated Encrypted Traffic Classification under Compound Drift, PDF
IEEE TDSC, Few-Shot Website Fingerprinting With Distribution Calibration, PDF
IEEE TDSC, Toward an Effective Few-Shot Website Fingerprinting Attack With Quadruplet Networks and Deep Local Fingerprinting Features, PDF
IEEE TIFS, Bottom Aggregating, Top Separating: An Aggregator and Separator Network for Encrypted Traffic Understanding, PDF
IEEE TIFS, FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification Under Environment Shifts, PDF
IEEE TIFS, Proxied Traffic Fingerprinting for Hidden Service De-Anonymization With Burst Reshaping, PDF
IEEE TIFS, Robust Detection of Malicious Encrypted Traffic via Contrastive Learning, PDF
IEEE TIFS, WF-TFC: An Open-World Few-Shot Anonymous Website Fingerprinting via Time-Frequency Consistency, PDF
IEEE/ACM ToN, High Precision and Efficient Anonymous Traffic Classification in the Real-World, PDF
IEEE/ACM ToN, One Model Fits All Nodes: Neuron Activation Pattern Analysis-Based Attack Traffic Detection Framework for P2P Networks, PDF
INCAS, Malicious QUIC C2 Traffic Detection based on Random Forest in Programmable Data Plane, PDF
IWQoS, MOTA: Mixture Of Traffic Agents for robust network traffic classification, PDF
IWQoS, TraGe: A Generic Packet Representation for Traffic Classification Based on Header-Payload Differences, PDF
JPDC, Multi-ARCL: Multimodal adaptive relay-based distributed continual learning for encrypted traffic classification, PDF
NDSS, The Discriminative Power of Cross-layer RTTs in Fingerprinting Proxy Traffic, PDF
NeurIPS, FlowRefiner: A Robust Traffic Classification Framework against Label Noise, PDF
NeurIPS, Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free, PDF
SIGCOMM, The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification, PDF
The Web Conference, DecETT: Accurate App Fingerprinting Under Encrypted Tunnels via Dual Decouple-based Semantic Enhancement, PDF
USENIX Security, Censorship Evasion with Unidentified Protocol Generation, PDF
USENIX Security, CertTA: Certified Robustness Made Practical for Learning-Based Traffic Analysis, PDF
IOT| A Detection Method for Malware Communication Traffic via Encrypted Traffic Analysis, PDF
JPDC | Multi-ARCL: Multimodal adaptive relay-based distributed continual learning for encrypted traffic classification, PDF
ArXiv | TraGe: A Generic Packet Representation for Traffic Classification Based on Header-Payload Differences, PDF
PDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFEach paper is assigned to one primary topic to keep this view concise.
PDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDF(Thanks to @linwhitehat)
Special thanks to everyone who contributed to this project.
| Name | Bio |
|---|---|
| Qiang Zhang | PhD Student @SCU |
| Chenxin Zhou | PhD Student @ DAS-Lab, SCU |
If you have any suggestions (missing papers, new papers, key researchers or typos), feel free to pull a request. Also you can mail to:
The source-code is licensed under the MIT license. See LICENSE.
🔐 A list of anonymity papers published from 2012 to 2026.
See the code
We believe that there exist classic anonymity papers which are worth reading regardless of their application domain. Rather than providing overwhelming amount of papers, we would like to provide a curated list of the awesome anonymity papers which are considered as must-reads in certain research domains.
A list of anonymity related papers published from 2012 to 2026.
PDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFTIFS, Bottom Aggregating, Top Separating: An Aggregator and Separator Network for Encrypted Traffic Understanding, PDF
AAAI, MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification, PDF
ACM CCS, Fingerprinting Deep Packet Inspection Devices by Their Ambiguities, PDF
ACM CCS, GAPDiS: Gradient-Assisted Perturbation Design via Sequence Editing for Website Fingerprinting Defense, PDF
ACM CCS, MM4flow: A Pre-trained Multi-modal Model for Versatile Network Traffic Analysis, PDF
ACM CCS, Swallow: A Transfer-Robust Website Fingerprinting Attack via Consistent Feature Learning, PDF
ACM CCS, Training Robust Classifiers for Classifying Encrypted Traffic under Dynamic Network Conditions, PDF
ACM CCS, Training with Only 1.0 ‰ Samples: Malicious Traffic Detection via Cross-Modality Feature Fusion, PDF
ACM KDD, Wedjat: Detecting Sophisticated Evasion Attacks via Real-time Causal Analysis, PDF
AIA, Enhancing DNS-over-HTTPS Traffic Classification in Heterogeneous Networks Through Latent Space Analysis with a Tabular-Variational Autoencoder and Self-Attention Classifier Model, PDF
arXiv, STAR: Semantic-Traffic Alignment and Retrieval for Zero-Shot HTTPS Website Fingerprinting, PDF
ESWA, MET-LLM: Enhancing Large Language Models for Malicious Encrypted Traffic Detection, PDF
ICAACE, A Semi-Supervised Learning Framework for Encrypted Traffic Classification Based on Supervised Contrastive Learning and Masked Sequence Prediction Tasks, PDF
IEEE INFOCOM, Cross-Environmental Website Fingerprinting, PDF
IEEE IoT Journal, A Detection Method for Malware Communication Traffic via Encrypted Traffic Analysis, PDF
IEEE S&P, COUNTMAMBA: A Generalized Website Fingerprinting Attack via Coarse-Grained Representation and Fine-Grained Prediction, PDF
IEEE S&P, SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers, PDF
IEEE S&P, TrafficFormer: An Efficient Pre-trained Model for Traffic Data, PDF
IEEE TDSC, DAIR-FedMoE: Hierarchical MoE for Federated Encrypted Traffic Classification under Compound Drift, PDF
IEEE TDSC, Few-Shot Website Fingerprinting With Distribution Calibration, PDF
IEEE TDSC, Toward an Effective Few-Shot Website Fingerprinting Attack With Quadruplet Networks and Deep Local Fingerprinting Features, PDF
IEEE TIFS, Bottom Aggregating, Top Separating: An Aggregator and Separator Network for Encrypted Traffic Understanding, PDF
IEEE TIFS, FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification Under Environment Shifts, PDF
IEEE TIFS, Proxied Traffic Fingerprinting for Hidden Service De-Anonymization With Burst Reshaping, PDF
IEEE TIFS, Robust Detection of Malicious Encrypted Traffic via Contrastive Learning, PDF
IEEE TIFS, WF-TFC: An Open-World Few-Shot Anonymous Website Fingerprinting via Time-Frequency Consistency, PDF
IEEE/ACM ToN, High Precision and Efficient Anonymous Traffic Classification in the Real-World, PDF
IEEE/ACM ToN, One Model Fits All Nodes: Neuron Activation Pattern Analysis-Based Attack Traffic Detection Framework for P2P Networks, PDF
INCAS, Malicious QUIC C2 Traffic Detection based on Random Forest in Programmable Data Plane, PDF
IWQoS, MOTA: Mixture Of Traffic Agents for robust network traffic classification, PDF
IWQoS, TraGe: A Generic Packet Representation for Traffic Classification Based on Header-Payload Differences, PDF
JPDC, Multi-ARCL: Multimodal adaptive relay-based distributed continual learning for encrypted traffic classification, PDF
NDSS, The Discriminative Power of Cross-layer RTTs in Fingerprinting Proxy Traffic, PDF
NeurIPS, FlowRefiner: A Robust Traffic Classification Framework against Label Noise, PDF
NeurIPS, Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free, PDF
SIGCOMM, The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification, PDF
The Web Conference, DecETT: Accurate App Fingerprinting Under Encrypted Tunnels via Dual Decouple-based Semantic Enhancement, PDF
USENIX Security, Censorship Evasion with Unidentified Protocol Generation, PDF
USENIX Security, CertTA: Certified Robustness Made Practical for Learning-Based Traffic Analysis, PDF
IOT| A Detection Method for Malware Communication Traffic via Encrypted Traffic Analysis, PDF
JPDC | Multi-ARCL: Multimodal adaptive relay-based distributed continual learning for encrypted traffic classification, PDF
ArXiv | TraGe: A Generic Packet Representation for Traffic Classification Based on Header-Payload Differences, PDF
PDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFEach paper is assigned to one primary topic to keep this view concise.
PDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDFPDF(Thanks to @linwhitehat)
Special thanks to everyone who contributed to this project.
| Name | Bio |
|---|---|
| Qiang Zhang | PhD Student @SCU |
| Chenxin Zhou | PhD Student @ DAS-Lab, SCU |
If you have any suggestions (missing papers, new papers, key researchers or typos), feel free to pull a request. Also you can mail to:
The source-code is licensed under the MIT license. See LICENSE.