Publications

2025

  1. NSDI
    CATO: End-to-end Optimization of ML Traffic Analysis Pipelines
    Gerry Wan, Shinan Liu, Francesco Bronzino, and 2 more authors
    USENIX Symposium on Networked Systems Design and Implementation, 2025
    PDF
  2. SIGMETRICS
    Beyond Data Points: Regionalizing Crowdsourced Latency Measurements
    Taveesh Sharma, Paul Schmitt, Francesco Bronzino, and 2 more authors
    In ACM SIGMETRICS, 2025
  3. LANMAN
    The Cost of Packet Loss on ML-Based Traffic Analysis
    Johann Hugon, Paul Schmitt, and Francesco Bronzino
    In IEEE International Symposium on Local and Metropolitan Area Networks, 2025

2024

  1. SIGMETRICS
    NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation
    Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, and 4 more authors
    Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2024
    PDF
  2. NetAICompute
    Feasibility of State Space Models for Network Traffic Generation
    Andrew Chu, Xi Jiang, Shinan Liu, and 4 more authors
    In ACM SIGCOMM Workshop on Networks for AI Computing, 2024

2023

  1. CoNEXT
    LEAF: Navigating Concept Drift in Cellular Networks
    Shinan Liu, Francesco Bronzino, Paul Schmitt, and 5 more authors
    Proceedings of the ACM on Networking, 2023
    PDF
  2. IMC
    Estimating WebRTC Video QoE Metrics Without Using Application Headers
    Taveesh Sharma, Tarun Mangla, Arpit Gupta, and 2 more authors
    In ACM SIGCOMM Internet Measurement Conference, 2023
  3. HotNets
    Generative, High-Fidelity Network Traces
    Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, and 3 more authors
    In ACM SIGCOMM Workshop on Hot Topics in Networks (HotNets), 2023
  4. CoNEXT-SW
    Towards Adaptive ML Traffic Processing Systems
    Johann Hugon, Gaetan Nodet, Anthony Busson, and 1 more author
    In CoNEXT Student Workshop, 2023
    PDF

2021

  1. SIGMETRICS
    Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic
    Francesco Bronzino, Paul Schmitt, Sara Ayoubi, and 3 more authors
    Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2021
    PDF
  2. PAM
    Characterizing Service Provider Response to the COVID-19 Pandemic in the United States
    Shinan Liu, Paul Schmitt, Francesco Bronzino, and 1 more author
    In Passive and Active Measurement Conference (PAM), 2021
    PDF
  3. TPRC
    Mapping the Digital Divide: Before, During, and After COVID-19
    Francesco Bronzino, Nick Feamster, Shinan Liu, and 2 more authors
    In Conference on Communications, Information, and Internet Policy (TPRC), 2021
    PDF

2020

  1. arXiv
    Feature Extraction for Novelty Detection in Network Traffic
    Kun Yang, Samory Kpotufe, and Nick Feamster
    arXiv preprint arXiv:2006.16993, 2020
    PDF

2019

  1. SIGMETRICS
    Inferring Streaming Video Quality from Encrypted Traffic: Practical Models and Deployment Experience
    Francesco Bronzino, Paul Schmitt, Sara Ayoubi, and 3 more authors
    Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2019
    PDF
  2. USENIX Security
    Evaluating the Contextual Integrity of Privacy Regulation: Parents’ IoT Toy Privacy Norms Versus COPPA
    Noah Apthorpe, Sarah Varghese, and Nick Feamster
    In USENIX Security Symposium, Aug 2019

2018

  1. TPRC
    Enhancing Transparency: Internet Video Quality Inference from Network Traffic
    Paul Schmitt, Francesco Branzino, Renata Teixeira, and 2 more authors
    In Research Conference on Communications, Information and Internet Policy (TPRC), Aug 2018
    PDF
  2. SIGCOMM
    A Developer-Friendly Library for Smart Home IoT Privacy-Preserving Traffic Obfuscation
    Trisha Datta, Noah Apthorpe, and Nick Feamster
    In ACM SIGCOMM Workshop on Internet of Things Security and Privacy, Aug 2018
  3. DLS
    Machine Learning DDoS Detection for Consumer Internet of Things Devices
    Rohan Doshi, Noah Apthorpe, and Nick Feamster
    In IEEE Security and Privacy Deep Learning and Security Workshop (DLS), May 2018

2017

  1. ConPro
    Closing the Blinds: Four Strategies for Protecting Smart Home Privacy from Network Observers
    Noah Apthorpe, Dillon Reisman, and Nick Feamster
    In IEEE Workshop on Technology and Consumer Protection (ConPro), May 2017
    PDF

2016

  1. DAT
    A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic
    Noah Apthorpe, Dillon Reissman, and Nick Feamster
    In Workshop on Data and Algorithmic Transparency (DAT), Nov 2016
    PDF

2015

  1. SIGCOMM
    ASwatch: An AS Reputation System to Expose Bulletproof Hosting ASes
    Maria Konte, Roberto Perdisci, and Nick Feamster
    In ACM SIGCOMM, Aug 2015

2013

  1. SIGCOMM
    Understanding the Domain Registration Behavior of Spammers
    Shuang Hao, Matthew Thomas, Vern Paxson, and 4 more authors
    In ACM SIGCOMM Internet Measurement Conference (IMC), Oct 2013
  2. ToN
    Answering "What-If" Deployment and Configuration Questions with WISE: Techniques and Deployment Experience
    Mohammed Mukarram Tariq, Vytautas Valancius, Kaushik Bhandakar, and 3 more authors
    IEEE/ACM Transactions on Networking, Jan 2013

2012

  1. SIGCOMM
    Observing Common Spam in Twitter and Email
    Cristian Lumezanu, and Nick Feamster
    In ACM SIGCOMM Internet Measurement Conference, Nov 2012

2011

  1. CEAS
    Spam or Ham? Characterizing and Detecting Fraudulent "Not Spam" Reports in Web Mail Systems
    Anirudh Ramachandran, Anirban Dasgupta, Nick Feamster, and 1 more author
    In 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference (CEAS 2011), Sep 2011
  2. NSDI
    Behavioral Clustering of HTTP-Based Malware
    Roberto Perdisci, Wenke Lee, and Nick Feamster
    In USENIX Symposium on Networked Systems Design and Implementation (NSDI), Sep 2011

2010

  1. Fishing for Phishing in the Network Stream
    Anirudh Ramachandran, Nick Feamster, Kobus Merwe, and 2 more authors
    Mar 2010
  2. USENIX Security
    Building a Dynamic Reputation System for DNS
    Manos Antonakakis and Roberto Perdisci and David Dagon and Wenke Lee and Nick Feamster
    In USENIX Security Symposium, Aug 2010

2009

  1. USENIX Security
    Detecting Spammers with SNARE: Spatio-temporal Network-level Automatic Reputation Engine
    Shuang Hao, Nadeem Syed, Nick Feamster, and 2 more authors
    In USENIX Security Symposium, Aug 2009

2008

  1. SIGCOMM
    Answering What-If Deployment and Configuration Questions with WISE
    Mohammed Mukarram Tariq, Amgad Zeitoun, Nick Feamster, and 1 more author
    In ACM SIGCOMM, Aug 2008

2007

  1. NIPS
    Predicting Bad Behavior
    Nadeem Syed, Nick Feamster, and Alex Gray
    In NIPS Workshop on Machine Learning in Adversarial Environments for Computer Security, Dec 2007
  2. CCS
    Filtering Spam with Behavioral Blacklisting
    Anirudh Ramachandran, Nick Feamster, and Santosh Vempala
    In Proc. 14th ACM Conference on Computer and Communications Security (CCS), Oct 2007

2006

  1. SIGCOMM
    Understanding the Network-Level Behavior of Spammers
    Anirudh Ramachandran, and Nick Feamster
    In ACM SIGCOMM, Aug 2006
  2. CEAS
    Can DNSBLs Keep Up with Bots?
    Anirudh Ramachandran, David Dagon, and Nick Feamster
    In 3rd Conference on Email and Anti-Spam (CEAS), Jul 2006
  3. SRUTI
    Revealing Botnet Membership with DNSBL Counter-Intelligence
    Anirudh Ramachandran, Nick Feamster, and David Dagon
    In 2nd USENIX Workshop on Steps to Reducing Unwanted Traffic on the Internet (SRUTI), Jul 2006