[image 02897] Call for Papers: CV-COPS 2018 in conjunction with CVPR

Yoichi Sato ysato @ iis.u-tokyo.ac.jp
2018年 2月 16日 (金) 17:14:49 JST


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東京大学生産技術研究所
佐藤洋一

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

CALL FOR SUBMISSIONS - CV-COPS 2018
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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:
http://vision.soic.indiana.edu/bright-and-dark-workshop-2018/
Submission server: https://cmt3.research.microsoft.com/CVCOPS2018
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IMPORTANT DATES

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


ABOUT CV-COPS 2018

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.


SCOPE

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.


ORGANIZING COMMITTEE

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


PROGRAM COMMITTEE

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


TWO CATEGORIES OF SUBMISSIONS

*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.)


AUTHOR INSTRUCTIONS

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.




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