Rachel Greenstadt

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 54

Top Venues

Proc. Priv. Enhancing Technol.

CoRR

Proc. ACM Hum. Comput. Interact.

USENIX Security Symposium

Publications

Kejsi Take, Jordyn Young, Rasika Bhalerao, Kevin Gallagher, Andrea Forte, Damon McCoy, Rachel Greenstadt
What to Expect When You're Accessing: An Exploration of User Privacy Rights in People Search Websites. Proc. Priv. Enhancing Technol. 2024 (4) (2024)
Chau Tran, Kejsi Take, Kaylea Champion, Benjamin Mako Hill, Rachel Greenstadt
Challenges in Restructuring Community-based Moderation. CoRR (2024)
Kejsi Take, Victoria Zhong, Chris Geeng, Emmi Bevensee, Damon McCoy, Rachel Greenstadt
Stoking the Flames: Understanding Escalation in an Online Harassment Community. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Ritik Roongta, Rachel Greenstadt
From User Insights to Actionable Metrics: A User-Focused Evaluation of Privacy-Preserving Browser Extensions. AsiaCCS (2024)
Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt
Can Deepfakes be created on a whim? WWW (Companion Volume) (2023)
Alan F. Luo, Noel Warford, Samuel Dooley, Rachel Greenstadt, Michelle L. Mazurek, Nora McDonald
How Library IT Staff Navigate Privacy and Security Challenges and Responsibilities. USENIX Security Symposium (2023)
Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt
Can deepfakes be created by novice users? CoRR (2023)
Victoria Zhong, Susan McGregor, Rachel Greenstadt
"I'm going to trust this until it burns me" Parents' Privacy Concerns and Delegation of Trust in K-8 Educational Technology. USENIX Security Symposium (2023)
Nora McDonald, Rachel Greenstadt, Andrea Forte
Intersectional Thinking about PETs: A Study of Library Privacy. Proc. Priv. Enhancing Technol. 2023 (2) (2023)
Janith Weerasinghe, Rhia Singh, Rachel Greenstadt
Using Authorship Verification to Mitigate Abuse in Online Communities. ICWSM (2022)
Kejsi Take, Kevin Gallagher, Andrea Forte, Damon McCoy, Rachel Greenstadt
"It Feels Like Whack-a-mole": User Experiences of Data Removal from People Search Websites. Proc. Priv. Enhancing Technol. 2022 (3) (2022)
Cameron Ballard, Ian Goldstein, Pulak Mehta, Genesis Smothers, Kejsi Take, Victoria Zhong, Rachel Greenstadt, Tobias Lauinger, Damon McCoy
Conspiracy Brokers: Understanding the Monetization of YouTube Conspiracy Theories. CoRR (2022)
Cameron Ballard, Ian Goldstein, Pulak Mehta, Genesis Smothers, Kejsi Take, Victoria Zhong, Rachel Greenstadt, Tobias Lauinger, Damon McCoy
Conspiracy Brokers: Understanding the Monetization of YouTube Conspiracy Theories. WWW (2022)
Chau Tran, Kaylea Champion, Benjamin Mako Hill, Rachel Greenstadt
The Risks, Benefits, and Consequences of Prepublication Moderation: Evidence from 17 Wikipedia Language Editions. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Chau Tran, Kaylea Champion, Benjamin Mako Hill, Rachel Greenstadt
The Risks, Benefits, and Consequences of Prepublication Moderation: Evidence from 17 Wikipedia Language Editions. CoRR (2022)
Chau Tran, Kaylea Champion, Benjamin Mako Hill, Rachel Greenstadt
The Risks, Benefits, and Consequences of Prepublication Moderation: Evidence from 17 Wikipedia Language Editions. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Maxwell Aliapoulios, Kejsi Take, Prashanth Ramakrishna, Daniel Borkan, Beth Goldberg, Jeffrey Sorensen, Anna Turner, Rachel Greenstadt, Tobias Lauinger, Damon McCoy
A large-scale characterization of online incitements to harassment across platforms. Internet Measurement Conference (2021)
Rhia Singh, Janith Weerasinghe, Rachel Greenstadt
Writing Style Change Detection on Multi-Author Documents. CLEF (Working Notes) (2021)
Edwin Dauber, Robert F. Erbacher, Gregory Shearer, Michael J. Weisman, Frederica Free-Nelson, Rachel Greenstadt
Supervised Authorship Segmentation of Open Source Code Projects. Proc. Priv. Enhancing Technol. 2021 (4) (2021)
Janith Weerasinghe, Rhia Singh, Rachel Greenstadt
Feature Vector Difference based Authorship Verification for Open-World Settings. CLEF (Working Notes) (2021)
Janith Weerasinghe, Bailey Flanigan, Aviel J. Stein, Damon McCoy, Rachel Greenstadt
The Pod People: Understanding Manipulation of Social Media Popularity via Reciprocity Abuse. WWW (2020)
Yigit Alparslan, Jeremy Keim-Shenk, Shweta Khade, Rachel Greenstadt
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain. CoRR (2020)
Aviel J. Stein, Aviel Kapllani, Spiros Mancoridis, Rachel Greenstadt
Exploring Paraphrasing Techniques on Formal Language for Generating Semantics Preserving Source Code Transformations. ICSC (2020)
Emily Tseng, Rosanna Bellini, Nora McDonald, Matan Danos, Rachel Greenstadt, Damon McCoy, Nicola Dell, Thomas Ristenpart
The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forums. USENIX Security Symposium (2020)
Emily Tseng, Rosanna Bellini, Nora McDonald, Matan Danos, Rachel Greenstadt, Damon McCoy, Nicola Dell, Thomas Ristenpart
The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forums. CoRR (2020)
Janith Weerasinghe, Rachel Greenstadt
Feature Vector Difference based Neural Network and Logistic Regression Models for Authorship Verification. CLEF (Working Notes) (2020)
Chau Tran, Kaylea Champion, Andrea Forte, Benjamin Mako Hill, Rachel Greenstadt
Are anonymity-seekers just like everybody else? An analysis of contributions to Wikipedia from Tor. IEEE Symposium on Security and Privacy (2020)
Rosanna Bellini, Emily Tseng, Nora McDonald, Rachel Greenstadt, Damon McCoy, Thomas Ristenpart, Nicola Dell
"So-called privacy breeds evil": Narrative Justifications for Intimate Partner Surveillance in Online Forums. Proc. ACM Hum. Comput. Interact. 4 (CSCW3) (2020)
Kaylea Champion, Nora McDonald, Stephanie Bankes, Joseph Zhang, Rachel Greenstadt, Andrea Forte, Benjamin Mako Hill
A Forensic Qualitative Analysis of Contributions to Wikipedia from Anonymity Seeking Users. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Chau Tran, Kaylea Champion, Andrea Forte, Benjamin Mako Hill, Rachel Greenstadt
Tor Users Contributing to Wikipedia: Just Like Everybody Else? CoRR (2019)
Janith Weerasinghe, Kediel Morales, Rachel Greenstadt
"Because... I was told... so much": Linguistic Indicators of Mental Health Status on Twitter. Proc. Priv. Enhancing Technol. 2019 (4) (2019)
Nora McDonald, Benjamin Mako Hill, Rachel Greenstadt, Andrea Forte
Privacy, Anonymity, and Perceived Risk in Open Collaboration: A Study of Service Providers. CHI (2019)
Kaylea Champion, Nora McDonald, Stephanie Bankes, Joseph Zhang, Rachel Greenstadt, Andrea Forte, Benjamin Mako Hill
A Forensic Qualitative Analysis of Contributions to Wikipedia from Anonymity Seeking Users. CoRR (2019)
Edwin Dauber, Aylin Caliskan, Richard E. Harang, Gregory Shearer, Michael J. Weisman, Frederica Free-Nelson, Rachel Greenstadt
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments. Proc. Priv. Enhancing Technol. 2019 (3) (2019)
Rebekah Overdorf, Carmela Troncoso, Rachel Greenstadt, Damon McCoy
Under the Underground: Predicting Private Interactions in Underground Forums. CoRR (2018)
Rachel Greenstadt, Damon McCoy, Carmela Troncoso
Editors' Introduction. Proc. Priv. Enhancing Technol. 2018 (3) (2018)
Rachel Greenstadt, Damon McCoy, Carmela Troncoso
Editors' Introduction. Proc. Priv. Enhancing Technol. 2018 (1) (2018)
Edwin Dauber, Aylin Caliskan, Richard E. Harang, Rachel Greenstadt
Git blame who?: stylistic authorship attribution of small, incomplete source code fragments. ICSE (Companion Volume) (2018)
Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. NDSS (2018)
Rachel Greenstadt, Damon McCoy, Carmela Troncoso
Editors' Introduction. Proc. Priv. Enhancing Technol. 2018 (2) (2018)
Rachel Greenstadt, Damon McCoy, Carmela Troncoso
Editors' Introduction. Proc. Priv. Enhancing Technol. 2018 (4) (2018)
Claudia Díaz, Rachel Greenstadt, Damon McCoy
Editors' Introduction. Proc. Priv. Enhancing Technol. 2017 (1) (2017)
Edwin Dauber, Aylin Caliskan Islam, Richard E. Harang, Rachel Greenstadt
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments. CoRR (2017)
Rachel Greenstadt
Using Stylometry to Attribute Programmers and Writers. IH&MMSec (2017)
Bander Alsulami, Edwin Dauber, Richard E. Harang, Spiros Mancoridis, Rachel Greenstadt
Source Code Authorship Attribution Using Long Short-Term Memory Based Networks. ESORICS (1) (2017)
Rebekah Overdorf, Mark Juárez, Gunes Acar, Rachel Greenstadt, Claudia Díaz
How Unique is Your .onion? An Analysis of the Fingerprintability of Tor Onion Services. CoRR (2017)
Edwin Dauber, Rebekah Overdorf, Rachel Greenstadt
Stylometric Authorship Attribution of Collaborative Documents. CSCML (2017)
Claudia Díaz, Rachel Greenstadt, Damon McCoy
Editors' Introduction. Proc. Priv. Enhancing Technol. 2017 (2) (2017)
Lex Fridman, Steven Weber, Rachel Greenstadt, Moshe Kam
Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location. IEEE Syst. J. 11 (2) (2017)
Claudia Díaz, Rachel Greenstadt, Damon McCoy
Editors' Introduction. Proc. Priv. Enhancing Technol. 2017 (4) (2017)
Andrea Forte, Nazanin Andalibi, Rachel Greenstadt
Privacy, Anonymity, and Perceived Risk in Open Collaboration: A Study of Tor Users and Wikipedians. CSCW (2017)
Rebekah Overdorf, Mark Juárez, Gunes Acar, Rachel Greenstadt, Claudia Díaz
How Unique is Your .onion?: An Analysis of the Fingerprintability of Tor Onion Services. CCS (2017)
Claudia Díaz, Rachel Greenstadt, Damon McCoy
Editors' Introduction. Proc. Priv. Enhancing Technol. 2017 (3) (2017)
Rebekah Overdorf, Rachel Greenstadt
Blogs, Twitter Feeds, and Reddit Comments: Cross-domain Authorship Attribution. Proc. Priv. Enhancing Technol. 2016 (3) (2016)
Vaibhav Garg, Sadia Afroz, Rebekah Overdorf, Rachel Greenstadt
Computer-Supported Cooperative Crime. Financial Cryptography (2015)
Aylin Caliskan Islam, Richard E. Harang, Andrew Liu, Arvind Narayanan, Clare R. Voss, Fabian Yamaguchi, Rachel Greenstadt
De-anonymizing Programmers via Code Stylometry. USENIX Security Symposium (2015)
Lex Fridman, Ariel Stolerman, Sayandeep Acharya, Patrick Brennan, Patrick Juola, Rachel Greenstadt, Moshe Kam
Multi-modal decision fusion for continuous authentication. Comput. Electr. Eng. 41 (2015)
Michael J. Mayhew, Michael Atighetchi, Aaron Adler, Rachel Greenstadt
Use of machine learning in big data analytics for insider threat detection. MILCOM (2015)
Aylin Caliskan Islam, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. CoRR (2015)
Lex Fridman, Steven Weber, Rachel Greenstadt, Moshe Kam
Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location. CoRR (2015)
Ariel Stolerman, Rebekah Overdorf, Sadia Afroz, Rachel Greenstadt
Breaking the Closed-World Assumption in Stylometric Authorship Attribution. IFIP Int. Conf. Digital Forensics (2014)
Ariel Stolerman, Alex Fridman, Rachel Greenstadt, Patrick Brennan, Patrick Juola
Active Linguistic Authentication Using Real-Time Stylometric Evaluation for Multi-Modal Decision Fusion. IFIP Int. Conf. Digital Forensics (2014)
Sadia Afroz, Aylin Caliskan Islam, Ariel Stolerman, Rachel Greenstadt, Damon McCoy
Doppelgänger Finder: Taking Stylometry to the Underground. IEEE Symposium on Security and Privacy (2014)
Marc Juárez, Sadia Afroz, Gunes Acar, Claudia Díaz, Rachel Greenstadt
A Critical Evaluation of Website Fingerprinting Attacks. CCS (2014)
Aylin Caliskan Islam, Jonathan Walsh, Rachel Greenstadt
Privacy Detective: Detecting Private Information and Collective Privacy Behavior in a Large Social Network. WPES (2014)
Prathaban Mookiah, John M. Walsh, Rachel Greenstadt, Kapil R. Dandekar
Reconfigurable Antenna Assisted Intrusion Detection in Wireless Networks. Int. J. Distributed Sens. Networks 9 (2013)
Jeffrey Segall, Michael J. Mayhew, Michael Atighetchi, Rachel Greenstadt
Assessing trustworthiness in collaborative environments. CSIIRW (2013)
Ariel Stolerman, Aylin Caliskan, Rachel Greenstadt
From Language to Family and Back: Native Language and Language Family Identification from English Text. HLT-NAACL (2013)
Nikhil Gulati, Rachel Greenstadt, Kapil R. Dandekar, John M. Walsh
GMM Based Semi-Supervised Learning for Channel-Based Authentication Scheme. VTC Fall (2013)
Alex Kantchelian, Sadia Afroz, Ling Huang, Aylin Caliskan Islam, Brad Miller, Michael Carl Tschantz, Rachel Greenstadt, Anthony D. Joseph, J. D. Tygar
Approaches to adversarial drift. AISec (2013)
Patrick Juola, John Noecker Jr., Ariel Stolerman, Michael Ryan, Patrick Brennan, Rachel Greenstadt
Towards Active Linguistic Authentication. IFIP Int. Conf. Digital Forensics (2013)
Sayandeep Acharya, Alex Fridman, Patrick Brennan, Patrick Juola, Rachel Greenstadt, Moshe Kam
User authentication through biometric sensors and decision fusion. CISS (2013)
Alex Fridman, Ariel Stolerman, Sayandeep Acharya, Patrick Brennan, Patrick Juola, Rachel Greenstadt, Moshe Kam
Decision Fusion for Multimodal Active Authentication. IT Prof. 15 (4) (2013)
Sadia Afroz, Aylin Caliskan Islam, Jordan Santell, Aaron Chapin, Rachel Greenstadt
How Privacy Flaws Affect Consumer Perception. STAST (2013)
Sadia Afroz, Vaibhav Garg, Damon McCoy, Rachel Greenstadt
Honor among thieves: A common's analysis of cybercrime economies. eCrime (2013)
Aaron Adler, Michael J. Mayhew, Jeffrey Cleveland, Michael Atighetchi, Rachel Greenstadt
Using Machine Learning for Behavior-Based Access Control: Scalable Anomaly Detection on TCP Connections and HTTP Requests. MILCOM (2013)
Jeffrey Segall, Rachel Greenstadt
The illiterate editor: metadata-driven revert detection in Wikipedia. OpenSym (2013)
Patrick Juola, John Noecker Jr., Ariel Stolerman, Michael Ryan, Patrick Brennan, Rachel Greenstadt
Keyboard-Behavior-Based Authentication. IT Prof. 15 (4) (2013)
Aylin Caliskan, Rachel Greenstadt
Translate Once, Translate Twice, Translate Thrice and Attribute: Identifying Authors and Machine Translation Tools in Translated Text. ICSC (2012)
Michael Brennan, Sadia Afroz, Rachel Greenstadt
Adversarial stylometry: Circumventing authorship recognition to preserve privacy and anonymity. ACM Trans. Inf. Syst. Secur. 15 (3) (2012)
Andrew W. E. McDonald, Sadia Afroz, Aylin Caliskan, Ariel Stolerman, Rachel Greenstadt
Use Fewer Instances of the Letter "i": Toward Writing Style Anonymization. Privacy Enhancing Technologies (2012)
Sadia Afroz, Michael Brennan, Rachel Greenstadt
Detecting Hoaxes, Frauds, and Deception in Writing Style Online. IEEE Symposium on Security and Privacy (2012)
Matthew Burkholder, Rachel Greenstadt
Privacy in Online Review Sites. IEEE Symposium on Security and Privacy Workshops (2012)
Sadia Afroz, Rachel Greenstadt
PhishZoo: Detecting Phishing Websites by Looking at Them. ICSC (2011)
Michael Brennan, Rachel Greenstadt
Coalescing Twitter Trends: The Under-Utilization of Machine Learning in Social Media. SocialCom/PASSAT (2011)
Andrew Feit, Lenrik Toval, Raffi Hovagimian, Rachel Greenstadt
A Travel-Time Optimizing Edge Weighting Scheme for Dynamic Re-Planning. Bridging the Gap Between Task and Motion Planning (2010)
Michael Brennan, Stacey Wrazien, Rachel Greenstadt
Using machine learning to augment collaborative filtering of community discussions. AAMAS (2010)
Michael Robert Brennan, Stacey Wrazien, Rachel Greenstadt
Learning to Extract Quality Discourse in Online Communities. Collaboratively-Built Knowledge Sources and AI (2010)
Rachel Greenstadt, Sadia Afroz, Michael Brennan
Mixed-initiative security agents. AISec (2009)
Michael Robert Brennan, Rachel Greenstadt
Practical Attacks Against Authorship Recognition Techniques. IAAI (2009)
Paul L. Snyder, Rachel Greenstadt, Giuseppe Valetto
Myconet: A Fungi-Inspired Model for Superpeer-Based Peer-to-Peer Overlay Topologies. SASO (2009)
Rachel Greenstadt
An overview of privacy improvements to k-optimal DCOP algorithms. AAMAS (2) (2009)
Oliver Day, Rachel Greenstadt, Brandon Palmen
Reinterpreting the Disclosure Debate for Web Infections. WEIS (2008)
Rachel Greenstadt, Jacob Beal
Cognitive security for personal devices. AISec (2008)
Rachel Greenstadt, Barbara J. Grosz, Michael D. Smith
SSDPOP: improving the privacy of DCOP with secret sharing. AAMAS (2007)
Rachel Greenstadt, Jonathan P. Pearce, Emma Bowring, Milind Tambe
Experimental analysis of privacy loss in DCOP algorithms. AAMAS (2006)
Rachel Greenstadt
Privatizing Constraint Optimization. AAAI (2006)
Rachel Greenstadt, Jonathan P. Pearce, Milind Tambe
Analysis of Privacy Loss in Distributed Constraint Optimization. AAAI (2006)
Rachel Greenstadt, Michael D. Smith
Collaborative Scheduling: Threats and Promises. WEIS (2006)
Rachel Greenstadt, Michael D. Smith
Protecting Personal Information: Obstacles and Directions. WEIS (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rachel Greenstadt