Organizamos PETS Symposium 2018

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Barcelona, del 23 al 28 de julio de 2018


PETS, el simposio anual de tecnologías de mejora de la privacidad, reúne a expertos en privacidad de todo el mundo para presentar y debatir los avances recientes y las nuevas perspectivas sobre la investigación en tecnologías de privacidad.


PETS / PoPETs es el espacio principal para aquellas nuevas investigaciones aplicadas y / o teóricas relacionadas con el diseño, el análisis, la experimentación y el campo de las tecnologías que mejoran la privacidad.






2:00 – 6:00 pm    OPERANDI 2018. Open day for Privacy, Transparency and Decentralization

7:00 – 9:00 pm    Joint OPERANDI / PETS Welcome Reception




9:30      Opening Remarks


10:00    Tracking

  • NoMoAds: Effective and Efficient Cross-App Mobile Ad-Blocking
    Anastasia Shuba (UC Irvine), Athina Markopoulou (UC Irvine), and Zubair Shafiq (University of Iowa) 
  • Diffusion of User Tracking Data in the Online Advertising Ecosystem
    Muhammad Ahmad Bashir and Christo Wilson (Northeastern University) 
  • Exploiting TLS Client Authentication for Widespread User Tracking
    Lucas Foppe (USNA), Jeremy Martin (USNA, MITRE), Travis Mayberry (USNA), Erik C. Rye (USNA), and Lamont Brown (USNA)


11:00    Break


11:30     PETS Keynote Address — Alan Mislove
               Targeted advertising: Privacy threats and opportunities


1:00      Lunch


2:30      Usability, HCI, Policy

  • I never signed up for this! Privacy implications of email tracking
    Steven Englehardt, Jeffrey Han, and Arvind Narayanan (Princeton) 
  • “Won’t Somebody Think of the Children” Privacy Analysis at Scale: A Case Study With COPPA
    Irwin Reyes (International Computer Science Institute), Primal Wijesekera (University of British Columbia), Joel Reardon (University of Calgary), Amit Elazari (University of California – Berkeley), Abbas Razaghpanah (Stony Brook University), Narseo Vallina Rodriguez (International Computer Science Institute, IMDEA Networks), and Serge Egelman (International Computer Science Institute, University of California – Berkeley) 
  • Turtles, Locks, and Bathrooms: Understanding Mental Models of Privacy Through Illustration
    Maggie Oates, Yama Ahmadullah, Abigail Marsh, Chelse Swoopes, Shikun Zhang, Rebecca Balebako, and Lorrie Cranor (Carnegie Mellon University) 

3:30     Mini-break


3:45    Censorship Resistance, Fingerprinting

4:45     Break


5:15     Messaging

  • PIR-PSI: Scaling Private Contact Discovery
    Daniel Demmler (TU Darmstadt), Peter Rindal, Mike Rosulek, and Ni Trieu (Oregon State University)



10:00    Analytics

  • Privacy-preserving Machine Learning as a Service
    Ehsan Hesamifard (University of North Texas), Hassan Takabi (University of North Texas), Mehdi Ghasemi (University of Saskatchewan), and Rebecca N. Wright (University of Rutgers)
  • Privacy-Preserving Search of Similar Patients in Genomic DataGilad Asharov (Cornell Tech), Shai Halevi (IBM Research), Yehuda Lindell (Bar Ilan University), and Tal Rabin (IBM Research)
  • Privacy-preserving Wi-Fi Analytics
    Mohammad Alaggan (Univ Lyon, Inria, INSA Lyon, CITI, F-69621 Villeurbanne, France), Mathieu Cunche (Univ Lyon, INSA Lyon, Inria, CITI, France), and Sébastien Gambs (Université du Québec à Montréal, Canada) 

11:00    Break

11:30    Town Hall

1:00      Lunch


2:30    Anonymization, Differential Privacy

  • Differentially Private Oblivious RAM​
    Sameer Wagh (Princeton University), Paul Cuff (Renaissance Technologies), and Prateek Mittal (Princeton University)

3:30     Mini-break


3:45    Anonymous communications

  • Tempest: Temporal Dynamics in Anonymity Systems
    Ryan Wails (U.S. Naval Research Laboratory), Yixin Sun (Princeton University), Aaron Johnson (U.S. Naval Research Laboratory), Mung Chiang (Princeton University), and Prateek Mittal (Princeton University)

4:45    Break


5:15    Tracking

  • Touch and You’re Trapp(ck)ed: Quantifying the Uniqueness of Touch Gestures for Tracking
    Rahat Masood (UNSW, CSIRO Data61), Benjamin Zi Hao Zhao (CSIRO Data61, UNSW), Hassan Jameel Asghar (CSIRO Data61), and Mohamed Ali Kaafar (CSIRO Data61) 
  • Power to peep-all: Inference Attacks by Malicious Batteries on Mobile Devices.
    Pavel Lifshits (Technion), Roni Forte (Technion), Yedid Hoshen (Hebrew University, Jerusalem), Matt Halpern (University of Texas at Austin), Manuel Philipose (University of Texas at Austin), Mohit Tiwari (University of Texas at Austin), and Mark Silberstein (Technion) 
  • Every Move You Make: Tracking Mobile Web Users via Motion Sensors
    Anupam Das (Carnegie Mellon University), Nikita Borisov (University of Illinois at Urbana-Champaign), and Edward Chou (University of Illinois at Urbana-Champaign)
  • Panoptispy: Characterizing Audio and Video Exfiltration from Android Applications
    Elleen Pan (Northeastern University), Jingjing Ren (Northeastern University), Martina Lindorfer (UC Santa Barbara), Christo Wilson (Northeastern University), and David Choffnes (Northeastern University)


8 pm   PETS Banquet



10:00   Blockchain

  • When the cookie meets the blockchain: Privacy risks of web payments via cryptocurrencies
    Steven Goldfeder, Harry Kalodner, Dillon Reisman, and Arvind Narayanan (Princeton University) 
  • Möbius: Trustless Tumbling for Transaction Privacy
    Sarah Meiklejohn (University College London) and Rebekah Mercer (Aarhus University)
  • An Empirical Analysis of Traceability in the Monero Blockchain
    Malte Möser (Princeton University), Kyle Soska (CMU), Ethan Heilman (Boston University), Kevin Lee (UIUC), Henry Heffan (Brookline High School), Shashvat Srivastava (Shrewsbury High School), Kyle Hogan (Boston University), Jason Hennessey (Boston University), Andrew Miller (UIUC), Arvind Narayanan (Princeton University), and Nicolas Christin (CMU)


11:00    Break


11:30   Crypto

  • Functional Credentials
    Dominic Deuber (Friedrich-Alexander-Universität Erlangen-Nürnberg), Matteo Maffei (TU Vienna), Giulio Malavolta (Friedrich-Alexander-Universität Erlangen-Nürnberg), Max Rabkin (), Dominique Schöder (Friedrich-Alexander-Universität Erlangen-Nürnberg), and Mark Simkin (Aarhus University) 
  • Onion-AE: Foundations of Nested Encryption
    Phillip Rogaway and Yusi Zhang (University of California, Davis)


12:40   Lunch


2:30   Attacks


3:40   Break


4:10 Rump Session


6:00 Clossing and Awards


7:00 Caspar Bowden PET Award Reception (supported by DECODE Project)




9:15    Opening Remarks (Tariq Elahi)

9:30   Deus ex ML

10:50   Break


11:15    HotPETs Keynote – Joris van Hoboken (Chair: George Danezis)
              Boon or Bane? PETs after the GDPR


12:30   Lunch


2:00   No country for “old” protocols

2:50   Break


3:10  [Un]deniable communication protocols

4:00   Ice Cream Break


4:20   Balancing privacy and evidence


5:10   Closing remarks and Best talk award



PETS Hike (details tbd)


También puedes seguir @PET_Symposium en Twitter!


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We organize PETS Symposium 2018

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Barcelona (Spain) 23th to 28th of July 2018

The annual Privacy Enhancing Technologies Symposium (PETS) brings together privacy experts from around the world to present and discuss recent advances and new perspectives on research in privacy technologies. PETS/PoPETs is the premier venue for novel applied and/or theoretical research into the design, analysis, experimentation, or fielding of privacy-enhancing technologies.

We’ll update the info about venues, registration fees and accommodation options as soon as we have it. Please, stay tuned!

Provisional program.

The Call For Papers is open until the 28th of February!


Monday: Welcome reception at 7 pm

Tuesday: 9 am to 5 pm PETS conference, PET Award reception at 7 pm, board dinner at 8 pm

Wednesday: 9 am to 5 pm PETS conference, Gala dinner at 7 pm

Thursday: 9 am to 5 pm PETS conference, delegates free (suggestions for tours and concerts)

Friday- Hot PETs 2018 11th Workshop on Hot Topics in Privacy Enhancing Technologies (it will be available an option for registering only for this day) 

Hot PETs Call For Talks is open until the 8th of May 2018

Saturday: PETS Hike, all day

Image by ChristianSchd (Own work) [CC BY-SA 3.0 (], via Wikimedia Commons
Categories : Categories Eticas' view
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