[Soups-announce] [Call for Submissions] Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2017)

Kapadia, Apu Chandrasen kapadia at indiana.edu
Wed Mar 29 15:27:21 EDT 2017

[Apologies to those who receive multiple copies of this CFP]

*** Deadline approaching - April 7. ***

The First International Workshop on The Bright and Dark Sides of Computer Vision:  Challenges and Opportunities for Privacy and Security (CV-COPS 2017) - in conjunction with the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

July 21, 2017 - Honolulu, Hawaii
General information: http://vision.soic.indiana.edu/bright-and-dark-workshop-2017/
Submission server: https://cmt3.research.microsoft.com/CVCOPS2017

Submission deadline: April 7, 11:59 PM  PDT 
Author notification date: May 1 
Camera ready deadline: May 15, 11:59 PM PDT 

Computer vision is finally working in the real world, but what are the consequences on privacy and security? For example, recent work shows that vision algorithms can spy on smartphone keypresses from meters away, steal information from inside homes via hacked cameras, exploit social media to de-anonymize blurred faces, and reconstruct images from features like SIFT. Vision could also enhance privacy and security, for example through assistive devices for people with disabilities, phishing detection techniques that incorporate visual features, and image forensic tools. Some technologies present both challenges and opportunities: biometrics techniques could enhance security but may be spoofed, while surveillance systems enhance safety but create potential for abuse.

We need to understand the potential threats and opportunities of vision to avoid creating detrimental societal effects and/or facing public backlash. This workshop will explore the intersection between computer vision and security and privacy to address these issues.

We welcome original research papers and extended abstracts on topics including, but not limited to:

- Computer vision-based security and privacy attacks,
- Biometric spoofing, defenses and liveness detection,
- Impact of ubiquitous cameras on society,
- Captchas and other visual Turing tests for online security,
- Privacy of visual data,
- Privacy-preserving visual features and representations,
- Reversibility of image transformations,
- Secure/encrypted computer vision and image processing,
- Wearable camera privacy,
- Attacks against computer vision systems,
- Copyright violation detection,
- Counterfeit and forgery detection,
- Privacy implications of large-scale visual social media,
- Other relevant topics.

David Crandall, Indiana University
Jan-Michael Frahm, University of North Carolina at Chapel Hill
Apu Kapadia, Indiana University

Denise Anthony, Dartmouth College
Lujo Bauer, Carnegie Mellon University
Terrance Boult, University of Colorado Colorado Springs
Thomas Brox, University of Freiburg
Bojan Cukic, University of North Carolina at Charlotte
Serge Egelman, University of California at Berkeley
Andrea Frome, Clarifai, Inc.
Suman Jana, Columbia University
Yu-Gang Jiang, Fudan University
Ioannis Kakadiaris, University of Houston
Sanjeev Koppal, University of Florida
Xiaoming Liu, Michigan State University
Ashwin Machanavajjhala, Duke University
Donald Madden, ObjectVideo, Inc.
Fabian Monrose, University of North Carolina at Chapel Hill
Arvind Narayanan, Princeton University
Gang Qian, ObjectVideo, Inc.
Michael Ryoo, Indiana University
Harpreet Sawhney, SRI International
Bernt Schiele, Max Planck Institute
Andrew Senior, Google
Robert Templeman, U.S. Navy
Michael Wilber, Cornell Tech

*Research papers* should contain original, unpublished research, and be 4-8 pages (excluding references). Research papers will be published in the CVPR Workshop Proceedings and archived on IEEE eXplore and the Computer Vision Foundation websites.

*Extended abstracts* about preliminary, ongoing or published work should be up to 2 pages (including references). Extended abstracts will be published and archived on this website.

All submissions should be anonymized and will undergo double-blind peer review. Papers and abstracts must be formatted according to the CVPR guidelines and submitted via the Conference Management Toolkit website at https://cmt3.research.microsoft.com/CVCOPS2017.

Accepted submissions will be invited for oral or poster presentation at the workshop.

Submission deadline: April 7, 11:59 PM Pacific Daylight Time (PDT)
Author notification date: May 1 
Camera ready deadline: May 15, 11:59 PM PDT 

Apu Kapadia, Ph.D.
Associate Professor
School of Informatics and Computing
Indiana University Bloomington
http://www.cs.indiana.edu/~kapadia/, @apukapadia

IU Privacy Lab:
http://private.soic.indiana.edu/, @IUPrivLab

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