Program
Presentations are to be, at the most, 20 minutes in length for full papers and 10 minutes for short papers, without including Q&A.
- 08:25 – 08:30 Opening
- 08:30 – 09:45 Session 1: Network Privacy (Session Chair: Alptekin Küpçü)
- Splitting Hairs and Network Traces: Improved Attacks Against Traffic Splitting as a Website Fingerprinting Defense (Online)
Matthias Beckerle (Karlstad University, Department of Mathematics and Computer Science), Jonathan Magnusson (Karlstad University, Department of Mathematics and Computer Science) and Tobias Pulls (Karlstad University, Department of Mathematics and Computer Science) - Padding-only Defenses Add Delay in Tor [short]
Ethan Witwer (University of Minnesota), James Holland (University of Minnesota) and Nicholas Hopper (University of Minnesota) - Sauteed Onions: Transparent Associations from Domain Names to Onion Addresses [short]
Rasmus Dahlberg (Karlstad University, Department of Mathematics and Computer Science), Paul Syverson (U.S. Naval Research Laboratory), Linus Nordberg (Verkligen Data AB) and Matthew Finkel (Independent) - Classification of Encrypted IoT Traffic Despite Padding and Shaping
Aviv Engelberg (Tel Aviv University) and Avishai Wool (Tel Aviv University)
- Splitting Hairs and Network Traces: Improved Attacks Against Traffic Splitting as a Website Fingerprinting Defense (Online)
- 09:45 – 10:00 Break
- 10:00 – 11:30 Session 2: Privacy Preserving Protocols (Session Chair: Hafiz Asif)
- Fisher Information as a Utility Metric for Frequency Estimation under Local Differential Privacy (Online)
Milan Lopuhaä-Zwakenberg (University of Twente), Boris Skoric (Eindhoven University of Technology) and Ninghui Li (Purdue University) - PRSONA: Private Reputation Supporting Ongoing Network Avatars (Online)
Stan Gurtler (Cisco Systems) and Ian Goldberg (University of Waterloo) - Data Protection Law and Multi-Party Computation: Applications to Information Exchange between Law Enforcement Agencies (Online)
Amos Treiber (TU Darmstadt), Dirk Müllmann (University Frankfurt), Thomas Schneider (TU Darmstadt) and Indra Spiecker Genannt Döhmann (University Frankfurt) - Secure Maximum Weight Matching Approximation on General Graphs [short]
Andreas Brüggemann (Technical University of Darmstadt), Malte Breuer (RWTH Aachen University), Andreas Klinger (RWTH Aachen University), Thomas Schneider (Technical University of Darmstadt) and Ulrike Meyer (RWTH Aachen University)
- Fisher Information as a Utility Metric for Frequency Estimation under Local Differential Privacy (Online)
- 11:30 – 12:15 Session 3: Privacy Policies and Preferences (Session Chair: Paul Syverson)
- Is Your Policy Compliant? An Empirical Study of Privacy Policies' Compliance with GDPR
Tamjid Al Rahat (University of Virginia), Minjun Long (University of Virginia) and Yuan Tian (University of California, Los Angeles) - Darwin's Theory Of Censorship: Analysing the Evolution of Censored Topics with Dynamic Topic Models [short] (Online)
Asim Waheed (University of Waterloo), Sara Qunaibi (University of Waterloo), Diogo Barradas (University of Waterloo) and Zachary Weinberg (Carnegie Mellon University) - A Study of Users' Privacy Preferences for Data Sharing on Symptoms-Tracking/Health App [short]
Hafiz Asif (Rutgers University) and Jaideep Vaidya (Rutgers University)
- Is Your Policy Compliant? An Empirical Study of Privacy Policies' Compliance with GDPR
- 12:15 – 13:45 Lunch
- 13:45 – 14:45 Session 4: Machine Learning and Privacy (Session Chair: Meisam Mohammady)
- UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning (Online)
Ege Erdogan (Koc University), Alptekin Küpcü (Koc University) and A. Ercument Cicek (Bilkent University) - SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning (Online)
Ege Erdogan (Koc University), Alptekin Küpcü (Koc University) and A. Ercument Cicek (Bilkent University) - Adversarial Detection of Censorship Measurements [short] (Online)
Abderrahmen Amich (University of Michigan - Dearborn), Birhanu Eshete (University of Michigan - Dearborn) and Vinod Yegneswaran (SRI International)
- UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning (Online)
- 14:45 – 15:45 Session 5: Privacy in Mobile Systems (Session Chair: Faysal Shezan)
- Fingerprinting and Personal Information Leakage from Touchscreen Interactions
Martin Georgiev (University of Oxford), Simon Eberz (University of Oxford) and Ivan Martinovic (University of Oxford) - Privacy and Security Evaluation of Mobile Payment Applications Through User-Generated Reviews (Online)
Naheem Noah (University of Denver), Urvashi Kishnani (University of Denver), Sanchari Das (University of Denver) and Rinku Dewri (University of Denver) - Casing the Vault: Security Analysis of Vault Applications [short]
Margie Ruffin (University of Illinois Urbana-Champaign), Israel Lopez-Toledo (University of Illinois Urbana-Champaign), Kirill Levchenko (University of Illinois Urbana-Champaign) and Gang Wang (University of Illinois Urbana-Champaign)
- Fingerprinting and Personal Information Leakage from Touchscreen Interactions
- 15:45 – 16:00 Break
- 16:00 – 17:00 Session 6: Web Privacy (Session Chair: Tamjid Rahat)
- Tracking the Evolution of Cookie-based Tracking on Facebook
Yana Dimova (imec-DistriNet, KU Leuven), Gertjan Franken (imec-DistriNet, KU Leuven), Victor Le Pochat (imec-DistriNet, KU Leuven), Wouter Joosen (imec-DistriNet, KU Leuven) and Lieven Desmet (imec-DistriNet, KU Leuven) - All Eyes On Me: Inside Third Party Trackers' Exfiltration of PHI from Healthcare Providers' Online Systems
Mingjia Huo (University of Illinois Urbana-Champaign), Maxwell Bland (University of Illinois Urbana-Champaign) and Kirill Levchenko (University of Illinois Urbana-Champaign) - Your Consent Is Worth 75 Euros A Year -- Measurement and Lawfulness of Cookie Paywalls [short] (Online)
Victor Morel (Vienna University of Economics and Business), Cristiana Santos (Universiteit Utrecht), Soheil Human (Vienna University of Economics and Business) and Yvonne Lintao (Vienna University of Economics and Business)
- Tracking the Evolution of Cookie-based Tracking on Facebook