[PET] [Call for Submissions] Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2018)

Kapadia, Apu Chandrasen kapadia at indiana.edu
Fri Feb 16 11:49:46 GMT 2018

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


The Second International Workshop on The Bright and Dark Sides of
Computer Vision:  Challenges and Opportunities for Privacy and
Security (CV-COPS 2018) - in conjunction with the 2018 IEEE Conference
on Computer Vision and Pattern Recognition (CVPR)

June 22, 2018 - Salt Lake City, Utah
General information:
Submission server: https://cmt3.research.microsoft.com/CVCOPS2018


Full paper submission deadline: March 9, 11:59 PM  PDT
Extended abstract submission deadline: April 1, 11:59PM PDT
Author notification date: March 30
Camera ready deadline: April 7, 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. Following up on last year's very successful workshop
at CVPR 2017, 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
Mario Fritz, Max Planck
Apu Kapadia, Indiana University
Vitaly Shmatikov, Cornell Tech


Tousif Ahmed, Indiana University
Vishnu Boddeti, Michigan State University
Terrance Boult, University of Colorado Colorado Springs
Karla Brkić, University of Zagreb
Ayan Chakrabarti, Washington University in St. Louis
Cunjian Chen, Michigan State University
Moustapha Cisse, Facebook
Anupam Das, Carnegie Mellon University
Bill Freeman, Massachusetts Institute of Technology
Timnit Gebru, Microsoft Research
Roberto Hoyle, Oberlin College
Suman Jana, Columbia University
Sanjeev Koppal, University of Florida
Ashwin Machanavajjhala, Duke University
Emanuela Marasco, George Mason University
Fabian Monrose, University of North Carolina at Chapel Hill
Seong Joon Oh, Max Planck
Nicolas Papernot, Pennsylvania State University
True Price, University of North Carolina at Chapel Hill
Raymond Ptucha, Rochester Institute of Technology
Gang Qian, ObjectVideo, Inc.
Karl Ricanek Jr., University of North Carolina at Wilmington
Michael Ryoo, Indiana University
Yoichi Sato, University of Tokyo
Luke Stark, Dartmouth College
Qianru Sun, Max Planck
Robert Templeman, U.S. Navy
Tom Yeh, University of Colorado at Boulder
Ryo Yonetani, University of Tokyo


*Full 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. (Submission deadline: March 9,
11:59 PM  PDT.)

*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. (Submission deadline:
April 1, 11:59PM PDT.)


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/CVCOPS2018.

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

More information about the PET mailing list