TECHNIQUES
ml-classifier ML / statistical classifier
Supervised or unsupervised classifiers run over flow features.
18 PAPERS ON FILE
- 2026-ablove-characterizing Characterizing the Implementation of Censorship Policies in Chinese LLM Services
- 2026-lipphardt-dual Dual Standards: Examining Content Moderation Disparities Between API and WebUI Interfaces in Large Language Models
- 2025-amnesty-pakistan-shadows Shadows of Control: Censorship and mass surveillance in Pakistan
- 2025-geedge-mesa-leak Geedge & MESA Leak: Analyzing the Great Firewall's Largest Document Leak
- 2025-interseclab-internet-coup The Internet Coup
- 2025-jfm-silk-road-surveillance Silk Road of Surveillance
- 2024-calle-toward Toward Automated DNS Tampering Detection Using Machine Learning
- 2024-gao-extended Extended Abstract: Leveraging Large Language Models to Identify Internet Censorship through Network Data
- 2023-brown-augmenting Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning
- 2023-jia-voiceover Voiceover: Censorship-Circumventing Protocol Tunnels with Generative Modeling
- 2018-barradas-effective Effective Detection of Multimedia Protocol Tunneling using Machine Learning
- 2018-knockel-analysis An analysis of automatic image filtering on WeChat Moments
- 2018-ng-detecting Detecting Censorable Content on Sina Weibo: A Pilot Study
- 2017-deng-random The Random Forest based Detection of Shadowsock's Traffic
- 2015-wang-seeing Seeing through Network-Protocol Obfuscation
- 2012-king-censorship How Censorship in China Allows Government Criticism but Silences Collective Expression
- 2011-danezis-anomaly-based An anomaly-based censorship-detection system for Tor
- 2010-park-empirical Empirical Study of a National-Scale Distributed Intrusion Detection System: Backbone-Level Filtering of HTML Responses in China