FPDetective: dusting the web for fingerprinters. - Gunes Acar; Marc Juarez; Nick Nikiforakis; Claudia Díaz; Seda F. Gürses; Frank Piessens; Bart Preneel (CCS, 2013)

A self-adaptive classification for the dissociating privacy agent. - Marc Juárez; Vicenç Torra (PST, 2013)

Toward a Privacy Agent for Information Retrieval. - Marc Juárez; Vicenç Torra (Int. J. Intell. Syst., 2013)

The Web Never Forgets: Persistent Tracking Mechanisms in the Wild. - Gunes Acar; Christian Eubank; Steven Englehardt; Marc Juarez; Arvind Narayanan; Claudia Díaz (CCS, 2014)

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

WTF-PAD: Toward an Efficient Website Fingerprinting Defense for Tor. - Marc Juarez; Mohsen Imani; Mike Perry; Claudia Díaz; Matthew Wright 001 (CoRR, 2015)

DisPA: An Intelligent Agent for Private Web Search. - Marc Juarez; Vicenç Torra (Advanced Research in Data Privacy, 2015)

Toward an Efficient Website Fingerprinting Defense. - Marc Juarez; Mohsen Imani; Mike Perry; Claudia Díaz; Matthew Wright 001 (ESORICS (1), 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)

Automated Feature Extraction for Website Fingerprinting through Deep Learning. - Vera Rimmer; Davy Preuveneers; Marc Juarez; Tom van Goethem; Wouter Joosen (CoRR, 2017)

Website Fingerprinting Defenses at the Application Layer. - Giovanni Cherubin; Jamie Hayes; Marc Juarez (Proc. Priv. Enhancing Technol., 2017)

Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning. - Payap Sirinam; Mohsen Imani; Marc Juarez; Matthew Wright 001 (CCS, 2018)

Inside Job: Applying Traffic Analysis to Measure Tor from Within. - Rob Jansen; Marc Juarez; Rafa Gálvez; Tariq Elahi; Claudia Díaz (NDSS, 2018)

Automated Website Fingerprinting through Deep Learning. - Vera Rimmer; Davy Preuveneers; Marc Juarez; Tom van Goethem; Wouter Joosen (NDSS, 2018)

Encrypted DNS -> Privacy? A Traffic Analysis Perspective. - Sandra Siby; Marc Juarez; Claudia Díaz; Narseo Vallina-Rodriguez; Carmela Troncoso (NDSS, 2020)

“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning. - Marc Juarez; Aleksandra Korolova (AFCP, 2022)

"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning. - Marc Juarez; Aleksandra Korolova (CoRR, 2022)

Black-Box Audits for Group Distribution Shifts. - Marc Juarez; Samuel Yeom; Matt Fredrikson (CoRR, 2022)

Online Platforms and the Fair Exposure Problem under Homophily. - Jakob Schoeffer; Alexander Ritchie; Keziah Naggita; Faidra Monachou; Jessica Finocchiaro; Marc Juarez (AAAI, 2023)

Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation? - Gonzalo Martínez 001; Lauren Watson; Pedro Reviriego; José Alberto Hernández 001; Marc Juarez; Rik Sarkar (CoRR, 2023)

Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet. - Gonzalo Martínez 001; Lauren Watson; Pedro Reviriego; José Alberto Hernández 001; Marc Juarez; Rik Sarkar (Epi UAI, 2024)

MixMatch: Flow Matching for Mixnet Traffic. - Lennart Oldenburg; Marc Juarez; Enrique Argones-Rúa; Claudia Díaz (Proc. Priv. Enhancing Technol., 2024)

SoK: What Makes Private Learning Unfair? - Kai Yao; Marc Juarez (SaTML, 2025)

A Crack in the Bark: Leveraging Public Knowledge to Remove Tree-Ring Watermarks. - Junhua Lin; Marc Juarez (CoRR, 2025)

AuthPrint: Fingerprinting Generative Models Against Malicious Model Providers. - Kai Yao; Marc Juarez (CoRR, 2025)