Covert Messaging through TCP Timestamps. - John Giffin; Rachel Greenstadt; Peter Litwack; Richard Tibbetts (Privacy Enhancing Technologies, 2002)

Why we can't be bothered to read privacy policies models of privacy economics as a lemons market. - Tony Vila; Rachel Greenstadt; David Molnar (ICEC, 2003)

Trusted Computing, Peer-to-Peer Distribution, and The Economics of Pirated Entertainment. - Stuart E. Schechter; Rachel Greenstadt; Michael D. Smith 001 (Economics of Information Security, 2004)

Why We Can't Be Bothered to Read Privacy Policies - Models of Privacy Economics as a Lemons Market. - Tony Vila; Rachel Greenstadt; David Molnar (Economics of Information Security, 2004)

Protecting Personal Information: Obstacles and Directions. - Rachel Greenstadt; Michael D. Smith 001 (WEIS, 2005)

Privatizing Constraint Optimization. - Rachel Greenstadt (AAAI, 2006)

Analysis of Privacy Loss in Distributed Constraint Optimization. - Rachel Greenstadt; Jonathan P. Pearce; Milind Tambe (AAAI, 2006)

Experimental analysis of privacy loss in DCOP algorithms. - Rachel Greenstadt; Jonathan P. Pearce; Emma Bowring; Milind Tambe (AAMAS, 2006)

Collaborative Scheduling: Threats and Promises. - Rachel Greenstadt; Michael D. Smith 001 (WEIS, 2006)

SSDPOP: improving the privacy of DCOP with secret sharing. - Rachel Greenstadt; Barbara J. Grosz; Michael D. Smith 001 (AAMAS, 2007)

Cognitive security for personal devices. - Rachel Greenstadt; Jacob Beal (AISec, 2008)

Reinterpreting the Disclosure Debate for Web Infections. - Oliver Day; Rachel Greenstadt; Brandon Palmen (WEIS, 2008)

Reinterpreting the Disclosure Debate for Web Infections. - Oliver Day; Brandon Palmen; Rachel Greenstadt (Managing Information Risk and the Economics of Security, 2009)

An overview of privacy improvements to k-optimal DCOP algorithms. - Rachel Greenstadt (AAMAS (2), 2009)

Mixed-initiative security agents. - Rachel Greenstadt; Sadia Afroz 001; Michael Brennan (AISec, 2009)

Practical Attacks Against Authorship Recognition Techniques. - Michael Robert Brennan; Rachel Greenstadt (IAAI, 2009)

Myconet: A Fungi-Inspired Model for Superpeer-Based Peer-to-Peer Overlay Topologies. - Paul L. Snyder; Rachel Greenstadt; Giuseppe Valetto (SASO, 2009)

Learning to Extract Quality Discourse in Online Communities. - Michael Robert Brennan; Stacey Wrazien; Rachel Greenstadt (Collaboratively-Built Knowledge Sources and AI, 2010)

A Travel-Time Optimizing Edge Weighting Scheme for Dynamic Re-Planning. - Andrew Feit; Lenrik Toval; Raffi Hovagimian; Rachel Greenstadt (Bridging the Gap Between Task and Motion Planning, 2010)

Using machine learning to augment collaborative filtering of community discussions. - Michael Brennan; Stacey Wrazien; Rachel Greenstadt (AAMAS, 2010)

PhishZoo: Detecting Phishing Websites by Looking at Them. - Sadia Afroz 001; Rachel Greenstadt (ICSC, 2011)

Coalescing Twitter Trends: The Under-Utilization of Machine Learning in Social Media. - Michael Brennan; Rachel Greenstadt (SocialCom/PASSAT, 2011)

Use Fewer Instances of the Letter "i": Toward Writing Style Anonymization. - Andrew W. E. McDonald; Sadia Afroz 001; Aylin Caliskan; Ariel Stolerman; Rachel Greenstadt (Privacy Enhancing Technologies, 2012)

Translate Once, Translate Twice, Translate Thrice and Attribute: Identifying Authors and Machine Translation Tools in Translated Text. - Aylin Caliskan; Rachel Greenstadt (ICSC, 2012)

Detecting Hoaxes, Frauds, and Deception in Writing Style Online. - Sadia Afroz 001; Michael Brennan; Rachel Greenstadt (IEEE Symposium on Security and Privacy, 2012)

Privacy in Online Review Sites. - Matthew Burkholder; Rachel Greenstadt (IEEE Symposium on Security and Privacy Workshops, 2012)

Adversarial stylometry: Circumventing authorship recognition to preserve privacy and anonymity. - Michael Brennan; Sadia Afroz 001; Rachel Greenstadt (ACM Trans. Inf. Syst. Secur., 2012)

Approaches to adversarial drift. - Alex Kantchelian; Sadia Afroz 001; Ling Huang 001; Aylin Caliskan Islam; Brad Miller 002; Michael Carl Tschantz; Rachel Greenstadt; Anthony D. Joseph; J. D. Tygar (AISec, 2013)

User authentication through biometric sensors and decision fusion. - Sayandeep Acharya; Alex Fridman 001; Patrick Brennan; Patrick Juola; Rachel Greenstadt; Moshe Kam (CISS, 2013)

Assessing trustworthiness in collaborative environments. - Jeffrey Segall; Michael J. Mayhew; Michael Atighetchi; Rachel Greenstadt (CSIIRW, 2013)

Honor among thieves: A common's analysis of cybercrime economies. - Sadia Afroz 001; Vaibhav Garg; Damon McCoy; Rachel Greenstadt (eCrime, 2013)

Towards Active Linguistic Authentication. - Patrick Juola; John Noecker Jr.; Ariel Stolerman; Michael Ryan; Patrick Brennan; Rachel Greenstadt (IFIP Int. Conf. Digital Forensics, 2013)

Using Machine Learning for Behavior-Based Access Control: Scalable Anomaly Detection on TCP Connections and HTTP Requests. - Aaron Adler; Michael J. Mayhew; Jeffrey Cleveland; Michael Atighetchi; Rachel Greenstadt (MILCOM, 2013)

From Language to Family and Back: Native Language and Language Family Identification from English Text. - Ariel Stolerman; Aylin Caliskan; Rachel Greenstadt (HLT-NAACL, 2013)

How Privacy Flaws Affect Consumer Perception. - Sadia Afroz 001; Aylin Caliskan Islam; Jordan Santell; Aaron Chapin; Rachel Greenstadt (STAST, 2013)

GMM Based Semi-Supervised Learning for Channel-Based Authentication Scheme. - Nikhil Gulati; Rachel Greenstadt; Kapil R. Dandekar; John M. Walsh (VTC Fall, 2013)

The illiterate editor: metadata-driven revert detection in Wikipedia. - Jeffrey Segall; Rachel Greenstadt (OpenSym, 2013)

Reconfigurable Antenna Assisted Intrusion Detection in Wireless Networks. - Prathaban Mookiah; John M. Walsh; Rachel Greenstadt; Kapil R. Dandekar (Int. J. Distributed Sens. Networks, 2013)

Decision Fusion for Multimodal Active Authentication. - Alex Fridman 001; Ariel Stolerman; Sayandeep Acharya; Patrick Brennan; Patrick Juola; Rachel Greenstadt; Moshe Kam (IT Prof., 2013)

Keyboard-Behavior-Based Authentication. - Patrick Juola; John Noecker Jr.; Ariel Stolerman; Michael Ryan; Patrick Brennan; Rachel Greenstadt (IT Prof., 2013)

A Critical Evaluation of Website Fingerprinting Attacks. - Marc Juarez; Sadia Afroz 001; Gunes Acar; Claudia Díaz; Rachel Greenstadt (CCS, 2014)

Active Linguistic Authentication Using Real-Time Stylometric Evaluation for Multi-Modal Decision Fusion. - Ariel Stolerman; Alex Fridman 001; Rachel Greenstadt; Patrick Brennan; Patrick Juola (IFIP Int. Conf. Digital Forensics, 2014)

Breaking the Closed-World Assumption in Stylometric Authorship Attribution. - Ariel Stolerman; Rebekah Overdorf; Sadia Afroz 001; Rachel Greenstadt (IFIP Int. Conf. Digital Forensics, 2014)

Doppelgänger Finder: Taking Stylometry to the Underground. - Sadia Afroz 001; Aylin Caliskan Islam; Ariel Stolerman; Rachel Greenstadt; Damon McCoy (IEEE Symposium on Security and Privacy, 2014)

Privacy Detective: Detecting Private Information and Collective Privacy Behavior in a Large Social Network. - Aylin Caliskan Islam; Jonathan Walsh; Rachel Greenstadt (WPES, 2014)

Computer-Supported Cooperative Crime. - Vaibhav Garg; Sadia Afroz 001; Rebekah Overdorf; Rachel Greenstadt (Financial Cryptography, 2015)

Use of machine learning in big data analytics for insider threat detection. - Michael J. Mayhew; Michael Atighetchi; Aaron Adler; Rachel Greenstadt (MILCOM, 2015)

De-anonymizing Programmers via Code Stylometry. - Aylin Caliskan Islam; Richard E. Harang; Andrew Liu; Arvind Narayanan; Clare R. Voss; Fabian Yamaguchi; Rachel Greenstadt (USENIX Security Symposium, 2015)

Multi-modal decision fusion for continuous authentication. - Lex Fridman 001; Ariel Stolerman; Sayandeep Acharya; Patrick Brennan; Patrick Juola; Rachel Greenstadt; Moshe Kam (Comput. Electr. Eng., 2015)

Blogs, Twitter Feeds, and Reddit Comments: Cross-domain Authorship Attribution. - Rebekah Overdorf; Rachel Greenstadt (Proc. Priv. Enhancing Technol., 2016)

How Unique is Your .onion?: An Analysis of the Fingerprintability of Tor Onion Services. - Rebekah Overdorf; Marc Juárez; Gunes Acar; Rachel Greenstadt; Claudia Díaz (CCS, 2017)

Stylometric Authorship Attribution of Collaborative Documents. - Edwin Dauber; Rebekah Overdorf; Rachel Greenstadt (CSCML, 2017)

Privacy, Anonymity, and Perceived Risk in Open Collaboration: A Study of Tor Users and Wikipedians. - Andrea Forte; Nazanin Andalibi; Rachel Greenstadt (CSCW, 2017)

Source Code Authorship Attribution Using Long Short-Term Memory Based Networks. - Bander Alsulami; Edwin Dauber; Richard E. Harang; Spiros Mancoridis; Rachel Greenstadt (ESORICS (1), 2017)

Using Stylometry to Attribute Programmers and Writers. - Rachel Greenstadt (IH&MMSec, 2017)

Editors' Introduction. - Claudia Díaz; Rachel Greenstadt; Damon McCoy (Proc. Priv. Enhancing Technol., 2017)

Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location. - Lex Fridman 001; Steven Weber 001; Rachel Greenstadt; Moshe Kam (IEEE Syst. J., 2017)

Git blame who?: stylistic authorship attribution of small, incomplete source code fragments. - Edwin Dauber; Aylin Caliskan; Richard E. Harang; Rachel Greenstadt (ICSE (Companion Volume), 2018)

When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. - Aylin Caliskan; Fabian Yamaguchi; Edwin Dauber; Richard E. Harang; Konrad Rieck; Rachel Greenstadt; Arvind Narayanan (NDSS, 2018)

Under the Underground: Predicting Private Interactions in Underground Forums. - Rebekah Overdorf; Carmela Troncoso; Rachel Greenstadt; Damon McCoy (CoRR, 2018)

Editors' Introduction. - Rachel Greenstadt; Damon McCoy; Carmela Troncoso (Proc. Priv. Enhancing Technol., 2018)

Privacy, Anonymity, and Perceived Risk in Open Collaboration: A Study of Service Providers. - Nora McDonald; Benjamin Mako Hill; Rachel Greenstadt; Andrea Forte (CHI, 2019)

Tor Users Contributing to Wikipedia: Just Like Everybody Else? - Chau Tran; Kaylea Champion; Andrea Forte; Benjamin Mako Hill; Rachel Greenstadt (CoRR, 2019)

A Forensic Qualitative Analysis of Contributions to Wikipedia from Anonymity Seeking Users. - Kaylea Champion; Nora McDonald; Stephanie Bankes; Joseph Zhang; Rachel Greenstadt; Andrea Forte; Benjamin Mako Hill (Proc. ACM Hum. Comput. Interact., 2019)

Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments. - Edwin Dauber; Aylin Caliskan; Richard E. Harang; Gregory Shearer; Michael J. Weisman; Frederica Free-Nelson; Rachel Greenstadt (Proc. Priv. Enhancing Technol., 2019)

"Because... I was told... so much": Linguistic Indicators of Mental Health Status on Twitter. - Janith Weerasinghe; Kediel O. Morales; Rachel Greenstadt (Proc. Priv. Enhancing Technol., 2019)

Feature Vector Difference based Neural Network and Logistic Regression Models for Authorship Verification. - Janith Weerasinghe; Rachel Greenstadt (CLEF (Working Notes), 2020)

Exploring Paraphrasing Techniques on Formal Language for Generating Semantics Preserving Source Code Transformations. - Aviel J. Stein; Aviel Kapllani; Spiros Mancoridis; Rachel Greenstadt (ICSC, 2020)

Are anonymity-seekers just like everybody else? An analysis of contributions to Wikipedia from Tor. - Chau Tran; Kaylea Champion; Andrea Forte; Benjamin Mako Hill; Rachel Greenstadt (SP, 2020)

The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forums. - Emily Tseng; Rosanna Bellini; Nora McDonald; Matan Danos; Rachel Greenstadt; Damon McCoy; Nicola Dell; Thomas Ristenpart (USENIX Security Symposium, 2020)

The Pod People: Understanding Manipulation of Social Media Popularity via Reciprocity Abuse. - Janith Weerasinghe; Bailey Flanigan; Aviel J. Stein; Damon McCoy; Rachel Greenstadt (WWW, 2020)

Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain. - Yigit Alparslan; Jeremy Keim-Shenk; Shweta Khade; Rachel Greenstadt (CoRR, 2020)

"So-called privacy breeds evil": Narrative Justifications for Intimate Partner Surveillance in Online Forums. - Rosanna Bellini; Emily Tseng; Nora McDonald; Rachel Greenstadt; Damon McCoy; Thomas Ristenpart; Nicola Dell (Proc. ACM Hum. Comput. Interact., 2020)

Writing Style Change Detection on Multi-Author Documents. - Rhia Singh; Janith Weerasinghe; Rachel Greenstadt (CLEF (Working Notes), 2021)

Feature Vector Difference based Authorship Verification for Open-World Settings. - Janith Weerasinghe; Rhia Singh; Rachel Greenstadt (CLEF (Working Notes), 2021)

A large-scale characterization of online incitements to harassment across platforms. - Maxwell Aliapoulios; Kejsi Take; Prashanth Ramakrishna; Daniel Borkan; Beth Goldberg; Jeffrey Sorensen; Anna Turner; Rachel Greenstadt; Tobias Lauinger; Damon McCoy (Internet Measurement Conference, 2021)

Supervised Authorship Segmentation of Open Source Code Projects. - Edwin Dauber; Robert F. Erbacher; Gregory Shearer; Michael J. Weisman; Frederica Free-Nelson; Rachel Greenstadt (Proc. Priv. Enhancing Technol., 2021)

Using Authorship Verification to Mitigate Abuse in Online Communities. - Janith Weerasinghe; Rhia Singh; Rachel Greenstadt (ICWSM, 2022)

Conspiracy Brokers: Understanding the Monetization of YouTube Conspiracy Theories. - Cameron Ballard; Ian Goldstein; Pulak Mehta; Genesis Smothers; Kejsi Take; Victoria Zhong; Rachel Greenstadt; Tobias Lauinger; Damon McCoy (WWW, 2022)

The Risks, Benefits, and Consequences of Prepublication Moderation: Evidence from 17 Wikipedia Language Editions. - Chau Tran; Kaylea Champion; Benjamin Mako Hill; Rachel Greenstadt (Proc. ACM Hum. Comput. Interact., 2022)

"It Feels Like Whack-a-mole": User Experiences of Data Removal from People Search Websites. - Kejsi Take; Kevin Gallagher 001; Andrea Forte; Damon McCoy; Rachel Greenstadt (Proc. Priv. Enhancing Technol., 2022)

How Library IT Staff Navigate Privacy and Security Challenges and Responsibilities. - Alan F. Luo; Noel Warford; Samuel Dooley; Rachel Greenstadt; Michelle L. Mazurek; Nora McDonald (USENIX Security Symposium, 2023)

"I'm going to trust this until it burns me" Parents' Privacy Concerns and Delegation of Trust in K-8 Educational Technology. - Victoria Zhong; Susan E. McGregor; Rachel Greenstadt (USENIX Security Symposium, 2023)

Can Deepfakes be created on a whim? - Pulak Mehta; Gauri Jagatap; Kevin Gallagher 001; Brian Timmerman; Progga Deb; Siddharth Garg; Rachel Greenstadt; Brendan Dolan-Gavitt (WWW (Companion Volume), 2023)

Can deepfakes be created by novice users? - Pulak Mehta; Gauri Jagatap; Kevin Gallagher 001; Brian Timmerman; Progga Deb; Siddharth Garg; Rachel Greenstadt; Brendan Dolan-Gavitt (CoRR, 2023)

Intersectional Thinking about PETs: A Study of Library Privacy. - Nora McDonald; Rachel Greenstadt; Andrea Forte (Proc. Priv. Enhancing Technol., 2023)

From User Insights to Actionable Metrics: A User-Focused Evaluation of Privacy-Preserving Browser Extensions. - Ritik Roongta; Rachel Greenstadt (AsiaCCS, 2024)

From Blocking to Breaking: Evaluating the Impact of Adblockers on Web Usability. - Ritik Roongta; Mitchell Zhou; Ben Stock; Rachel Greenstadt (CoRR, 2024)

Stoking the Flames: Understanding Escalation in an Online Harassment Community. - Kejsi Take; Victoria Zhong; Chris Geeng; Emmi Bevensee; Damon McCoy; Rachel Greenstadt (Proc. ACM Hum. Comput. Interact., 2024)

Challenges in Restructuring Community-based Moderation. - Chau Tran; Kejsi Take; Kaylea Champion; Benjamin Mako Hill; Rachel Greenstadt (Proc. ACM Hum. Comput. Interact., 2024)

What to Expect When You're Accessing: An Exploration of User Privacy Rights in People Search Websites. - Kejsi Take; Jordyn Young; Rasika Bhalerao; Kevin Gallagher 001; Andrea Forte; Damon McCoy; Rachel Greenstadt (Proc. Priv. Enhancing Technol., 2024)

What's in a Label? Propaganda Labels and User Sharing Behavior on Social Media Platforms. - Julia Jose; Chris Geeng; Kediel O. Morales; Damon McCoy; Rachel Greenstadt (ICWSM, 2025)

An Analysis of Chinese Censorship Bias in LLMs. - Mohamed Ahmed; Jeffrey Knockel; Rachel Greenstadt (Proc. Priv. Enhancing Technol., 2025)

More and Scammier Ads: The Perils of YouTube's Ad Privacy Settings. - Cat Mai; Bruno Coelho; Julia B. Kieserman; Lexie Matsumoto; Kyle Spinelli; Eric Yang; Athanasios Andreou; Rachel Greenstadt; Tobias Lauinger; Damon McCoy (Proc. Priv. Enhancing Technol., 2025)

Sheep's clothing, wolfish intent: Automated detection and evaluation of problematic 'allowed' advertisements. - Ritik Roongta; Julia Jose; Hussam Habib; Rachel Greenstadt (Proc. Priv. Enhancing Technol., 2025)

Are Large Language Models Good at Detecting Propaganda? - Julia Jose; Rachel Greenstadt (CoRR, 2025)