7 files changed, 65 insertions, 16 deletions
diff --git a/site/content/pages/about/attribution.md b/site/content/pages/about/attribution.md
index 5060b2d9..3cab8d57 100644
--- a/site/content/pages/about/attribution.md
+++ b/site/content/pages/about/attribution.md
@@ -1,8 +1,8 @@
 ------------
 
 status: published
-title: Privacy Policy
-desc: MegaPixels Privacy Policy
+title: MegaPixels Attibution
+desc: MegaPixels Attibution and Citation Information
 slug: privacy-policy
 cssclass: about
 published: 2018-12-04
diff --git a/site/content/pages/about/press.md b/site/content/pages/about/press.md
index 2839bf20..30d432aa 100644
--- a/site/content/pages/about/press.md
+++ b/site/content/pages/about/press.md
@@ -25,6 +25,7 @@ authors: Adam Harvey
 
 ##### Features
 
+- May 22, 2019: [UCCS secretly photographed students to advance facial recognition technology](https://www.csindy.com/coloradosprings/uccs-secretly-photographed-students-to-advance-facial-recognition-technology/Content?oid=19664437) by J. Adrian Stanley
 - April 19, 2019: [Who's Using Your Face](https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d43599e) by Madhumita Murgia for FT.com
 
 ##### Cited by
diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md
index 55b48a07..68d21cbe 100644
--- a/site/content/pages/datasets/uccs/index.md
+++ b/site/content/pages/datasets/uccs/index.md
@@ -44,7 +44,7 @@ The two research papers associated with the release of the UCCS dataset ([Uncons
 
 In 2017, one year after its public release, the UCCS face dataset formed the basis for a defense and intelligence agency funded [face recognition challenge](http://www.face-recognition-challenge.com/) project at the International Joint Biometrics Conference in Denver, CO. And in 2018 the dataset was again used for the [2nd Unconstrained Face Detection and Open Set Recognition Challenge](https://erodner.github.io/ial2018eccv/) at the European Computer Vision Conference (ECCV) in Munich, Germany. 
 
-As of April 15, 2019, the UCCS dataset is no longer available for public download. But during the three years it was publicly available (2016-2019) the UCCS dataset appeared in at least 6 publicly available research papers including verified usage from Beihang University who is known to provide research and development for China's military; and Vision Semantics Ltd who lists the UK Ministry of Defence as a project partner.
+As of April 15, 2019, the UCCS dataset is no longer available for public download. But during the three years it was publicly available (2016-2019) the UCCS dataset appeared in at least 4 publicly available research papers including verified usage from Beihang University who is known to provide research and development for China's military; and Vision Semantics Ltd who lists the UK Ministry of Defence as a project partner.
 
 {% include 'dashboard.html' %}
 
@@ -117,10 +117,6 @@ If you attended University of Colorado Colorado Springs and were captured by the
 - Please direct any questions about the ethics of the dataset to the University of Colorado Colorado Springs [Ethics and Compliance Office](https://www.uccs.edu/compliance/)
 - For further technical information about the UnConstrained College Students dataset, visit the [UCCS dataset project page](https://vast.uccs.edu/Opensetface). 
 
-### Downloads
-
-- Download EXIF data for UCCS photos: [uccs_camera_exif.csv](https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_camera_exif.csv)
-
 {% include 'cite_our_work.html' %}
 
 ### Footnotes
diff --git a/site/public/about/attribution/index.html b/site/public/about/attribution/index.html
index 5689ea0c..34713c82 100644
--- a/site/public/about/attribution/index.html
+++ b/site/public/about/attribution/index.html
@@ -1,11 +1,11 @@
 <!doctype html>
 <html>
 <head>
-  <title>MegaPixels: Privacy Policy</title>
+  <title>MegaPixels: MegaPixels Attibution</title>
   <meta charset="utf-8" />
   <meta name="author" content="Adam Harvey" />
-  <meta name="description" content="MegaPixels Privacy Policy" />
-  <meta property="og:title" content="MegaPixels: Privacy Policy"/>
+  <meta name="description" content="MegaPixels Attibution and Citation Information" />
+  <meta property="og:title" content="MegaPixels: MegaPixels Attibution"/>
   <meta property="og:type" content="website"/>
   <meta property="og:image" content="https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/msceleb/assets/background.jpg" />
   <meta property="og:url" content="https://megapixels.cc/about/"/>
diff --git a/site/public/about/press/index.html b/site/public/about/press/index.html
index 7c7f93d9..679b5b64 100644
--- a/site/public/about/press/index.html
+++ b/site/public/about/press/index.html
@@ -63,6 +63,7 @@
 </ul>
 </section><h5>Features</h5>
 <ul>
+<li>May 22, 2019: <a href="https://www.csindy.com/coloradosprings/uccs-secretly-photographed-students-to-advance-facial-recognition-technology/Content?oid=19664437">UCCS secretly photographed students to advance facial recognition technology</a> by J. Adrian Stanley</li>
 <li>April 19, 2019: <a href="https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d43599e">Who's Using Your Face</a> by Madhumita Murgia for FT.com</li>
 </ul>
 <h5>Cited by</h5>
diff --git a/site/public/datasets/ijb_c/index.html b/site/public/datasets/ijb_c/index.html
index 83d572ab..06232f72 100644
--- a/site/public/datasets/ijb_c/index.html
+++ b/site/public/datasets/ijb_c/index.html
@@ -74,7 +74,62 @@
     <div class='gray'>Website</div>
     <div><a href='https://www.nist.gov/programs-projects/face-challenges' target='_blank' rel='nofollow noopener'>nist.gov</a></div>
   </div></div><p>[ page under development ]</p>
-<p>The IARPA Janus Benchmark C is a dataset created by</p>
+<p>The IARPA Janus Benchmark C (IJB&ndash;C) is a dataset of web images used for face recognition research and development. The IJB&ndash;C dataset contains 3,531 people</p>
+<p>Among the target list of 3,531 names are activists, artists, journalists, foreign politicians,</p>
+<ul>
+<li>Subjects 3531</li>
+<li>Templates: 140739</li>
+<li>Genuine Matches: 7819362</li>
+<li>Impostor Matches: 39584639</li>
+</ul>
+<p>Why not include US Soliders instead of activists?</p>
+<p>was creted by Nobilis, a United States Government contractor is used to develop software for the US intelligence agencies as part of the IARPA Janus program.</p>
+<p>The IARPA Janus program is</p>
+<p>these representations must address the challenges of Aging, Pose, Illumination, and Expression (A-PIE) by exploiting all available imagery.</p>
+<ul>
+<li>metadata annotations were created using crowd annotations</li>
+<li>created by Nobilis</li>
+<li>used mechanical turk</li>
+<li>made for intelligence analysts</li>
+<li>improve performance of face recognition tools</li>
+<li>by fusing the rich spatial, temporal, and contextual information available from the multiple views captured by today’s "media in the wild"</li>
+</ul>
+<p>The name list includes</p>
+<ul>
+<li>2 videos from CCC<ul>
+<li>yq6ZC-YLHZA.png<ul>
+<li>Katharina Nocun: Deine Rechte sind in diesen Freihandelsabkommen nicht verfÃ¼gbar</li>
+</ul>
+</li>
+<li>fF2MxkDzlVg<ul>
+<li>Jillian York: "Technology companies now hold an unprecedented ability to shape the world around us by limiting our ability to access certain content and by crafting proprietary algorithm that bring us our daily streams of content. Matthew Stender, Jillian C. York"</li>
+</ul>
+</li>
+<li>Maya Zankoul. She's an old friend, a Lebanese web designer who's put out a couple of books locally and has a Wikipedia page, probably created by a Lebanese Wikipedia editor die-hard. Not famous. How on earth?</li>
+<li>Melissa Gira Grant (also a journalist)</li>
+<li>Nadezhda Tolokinnikova (Pussy Riot)</li>
+<li>Derrick Ashong (activist and journalist)</li>
+<li>Michael Anti</li>
+<li>Lina Ben Mhenni</li>
+<li>Manal al-Sharif</li>
+<li>Juan Carlos de Martin (not an activist but not really famous either!)</li>
+<li>Anita Sarkeesian</li>
+<li>Amal Clooney (lawyer)</li>
+<li>Anil Dash (startup guy)</li>
+<li>Bruno Latour (philosopher)</li>
+<li>Dan Gillmor (tech journalist)</li>
+<li>Eben Upton (founder of raspberry pi)</li>
+<li>Evgeny Morozov</li>
+<li>Gabriella Coleman</li>
+<li>Maria Popova</li>
+<li>Molly Crabapple</li>
+<li>Paola Antonelli</li>
+<li>Seymour Hersh</li>
+<li>Ta-Nehisi Coates</li>
+</ul>
+</li>
+</ul>
+<p>The first 777 are non-alphabetical. From 777-3531 is alphabetical</p>
 </section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/ijb_c/assets/ijb_c_montage.jpg' alt=' A visualization of the IJB-C dataset'><div class='caption'> A visualization of the IJB-C dataset</div></div></section><section><h2>Research notes</h2>
 <p>From original papers: <a href="https://noblis.org/wp-content/uploads/2018/03/icb2018.pdf">https://noblis.org/wp-content/uploads/2018/03/icb2018.pdf</a></p>
 <p>Collection for the dataset began by identifying CreativeCommons subject videos, which are often more scarce thanCreative Commons subject images.   Search terms that re-sulted in large quantities of person-centric videos (e.g. “in-terview”) were generated and translated into numerous lan-guages including Arabic, Korean, Swahili, and Hindi to in-crease diversity of the subject pool. Certain YouTube userswho upload well-labeled, person-centric videos, such as the World  Economic  Forum  and  the  International  University Sports Federation were also identified. Titles of videos per-taining to these search terms and usernames were scrapedusing the YouTube Data API and translated into English us-ing the Yandex Translate API4. Pattern matching was per-formed to extract potential names of subjects from the trans-lated titles, and these names were searched using the Wiki-data  API  to  verify  the  subject’s  existence  and  status  as  a public figure,  and to check for Wikimedia Commons im-agery.  Age, gender, and geographic region were collectedusing the Wikipedia API.Using the candidate subject names, Creative Commonsimages  were  scraped  from  Google  and  Wikimedia  Com-mons,  and  Creative  Commons  videos  were  scraped  fromYouTube. After images and videos of the candidate subjectwere  identified,  AMT  Workers  were  tasked  with  validat-ing the subject’s presence throughout the video.  The AMTWorkers marked segments of the video in which the subjectwas present, and key frames</p>
diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html
index c4be8af0..aff78bc5 100644
--- a/site/public/datasets/uccs/index.html
+++ b/site/public/datasets/uccs/index.html
@@ -80,7 +80,7 @@ Their setup made it impossible for students to know they were being photographed
 </section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_grid.jpg' alt=' Example images from the UnConstrained College Students Dataset. '><div class='caption'> Example images from the UnConstrained College Students Dataset. </div></div></section><section><p>The EXIF data embedded in the images shows that the photo capture times follow a similar pattern to that outlined by the researchers, but also highlights that the vast majority of photos (over 7,000) were taken on Tuesdays around noon during students' lunch break. The lack of any photos taken between Friday through Sunday shows that the researchers were only interested in capturing images of students during the peak campus hours.</p>
 </section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_exif_plot_days.png' alt=' UCCS photos captured per weekday &copy; megapixels.cc'><div class='caption'> UCCS photos captured per weekday &copy; megapixels.cc</div></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_exif_plot.png' alt=' UCCS photos captured per weekday &copy; megapixels.cc'><div class='caption'> UCCS photos captured per weekday &copy; megapixels.cc</div></div></section><section><p>The two research papers associated with the release of the UCCS dataset (<a href="https://www.semanticscholar.org/paper/Unconstrained-Face-Detection-and-Open-Set-Face-G%C3%BCnther-Hu/d4f1eb008eb80595bcfdac368e23ae9754e1e745">Unconstrained Face Detection and Open-Set Face Recognition Challenge</a> and <a href="https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1">Large Scale Unconstrained Open Set Face Database</a>), acknowledge that the primary funding sources for their work were United States defense and intelligence agencies. Specifically, development of the UnContsrianed College Students dataset was funded by the Intelligence Advanced Research Projects Activity (IARPA), Office of Director of National Intelligence (ODNI), Office of Naval Research and The Department of Defense Multidisciplinary University Research Initiative (ONR MURI), and the Special Operations Command and Small Business Innovation Research (SOCOM SBIR) amongst others. UCCS's VAST site also explicitly <a href="https://vast.uccs.edu/project/iarpa-janus/">states</a> their involvement in the <a href="https://www.iarpa.gov/index.php/research-programs/janus">IARPA Janus</a> face recognition project developed to serve the needs of national intelligence, establishing that immediate benefactors of this dataset include United States defense and intelligence agencies, but it would go on to benefit other similar organizations.</p>
 <p>In 2017, one year after its public release, the UCCS face dataset formed the basis for a defense and intelligence agency funded <a href="http://www.face-recognition-challenge.com/">face recognition challenge</a> project at the International Joint Biometrics Conference in Denver, CO. And in 2018 the dataset was again used for the <a href="https://erodner.github.io/ial2018eccv/">2nd Unconstrained Face Detection and Open Set Recognition Challenge</a> at the European Computer Vision Conference (ECCV) in Munich, Germany.</p>
-<p>As of April 15, 2019, the UCCS dataset is no longer available for public download. But during the three years it was publicly available (2016-2019) the UCCS dataset appeared in at least 6 publicly available research papers including verified usage from Beihang University who is known to provide research and development for China's military; and Vision Semantics Ltd who lists the UK Ministry of Defence as a project partner.</p>
+<p>As of April 15, 2019, the UCCS dataset is no longer available for public download. But during the three years it was publicly available (2016-2019) the UCCS dataset appeared in at least 4 publicly available research papers including verified usage from Beihang University who is known to provide research and development for China's military; and Vision Semantics Ltd who lists the UK Ministry of Defence as a project partner.</p>
 </section><section>
   <h3>Who used UCCS?</h3>
 
@@ -253,10 +253,6 @@ Their setup made it impossible for students to know they were being photographed
 <li>Please direct any questions about the ethics of the dataset to the University of Colorado Colorado Springs <a href="https://www.uccs.edu/compliance/">Ethics and Compliance Office</a></li>
 <li>For further technical information about the UnConstrained College Students dataset, visit the <a href="https://vast.uccs.edu/Opensetface">UCCS dataset project page</a>. </li>
 </ul>
-<h3>Downloads</h3>
-<ul>
-<li>Download EXIF data for UCCS photos: <a href="https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_camera_exif.csv">uccs_camera_exif.csv</a></li>
-</ul>
 </section><section>
 
   <h4>Cite Our Work</h4>