Face/Off: Preventing Privacy Leakage From Photos in Social Networks

By Panagiotis Ilia, Iasonas Polakis, Elias Athanasopoulos, F. Maggi, S. Ioannidis. 2015

179 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Reza Shokri
2. Vitaly Shmatikov
3. Richard McPherson
4. Elie Bursztein
5. Kurt Thomas
6. Prateek Mittal
7. Congzheng Song
8. Liwei Song

In Computer Vision and Pattern Recognition

1. Vitaly Shmatikov
2. Richard McPherson
3. Elie Bursztein
4. Reza Shokri
5. Kurt Thomas
6. Mario Fritz
7. Bernt Schiele

In Sociology and Political Science

1. Reza Shokri
2. Richard McPherson
3. Vitaly Shmatikov
4. Arjun Narayan
5. Jihun Hamm
6. Ninghui Li
7. Cynthia Dwork
8. Manas A. Pathak

Citations in the corpus

• Defeating Image Obfuscation with Deep Learning (2016, background): “Face/Off [18] uses facial blurring to prevent identification in “restricted”Facebook images.”
• Five Years of the Right to be Forgotten (2019, background): “These arise due to diverging views of how content should be shared and how broadly [6, 16, 17, 20, 27].”