32
2008-?
If what you are working on is not important, and it is not likely to lead to important things, why are you working on it?
― Richard Hamming
Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Information Leakage
Malware Attacks
Data Breach
Fake Avatars
Phishing Attacks
Zoombombing
Credit: Such, Jose M., and Natalia Criado. "Multiparty privacy in social media." Communications of the ACM 61.8 (2018): 74-81.
89,305 Zoom related tweets
90,395 Zoom related Instagram posts
16,133 video conferncing images
26,408 images from Twitter
78,435 images from Instagram
A video conferencing detection model was trained based on ResNet-50.
Accuracy = 0.969, TPR= 0.935, FPR = 0.016
89,305 Zoom related tweets
90,395 Zoom related Instagram posts
16,133 video conferncing images
26,408 images from Twitter
78,435 images from Instagram
A video Conferencing detection model was trained based on ResNet-50.
Accuracy = 0.969, TPR= 0.935, FPR = 0.016
Duplicates removed using dhash
Duplicates removed using the classifier last layer
15,709 unique images
Automatic Large Scale Detection of Red Palm Weevil Infestation using Street View Images
Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
ISPRS Journal of Photogrammetry and Remote Sensing
Palm Weevil is a type of beetle that infests palm trees, lays eggs and feeds on the palm's tissue, creating tunnels inside the tree trunk that weaken its structure, causing extensive damage resulting in tree decline and eventual breakage. The beatles can travel up to 50 km a day, rapidly spreading geographically and raising tremendous risks to spatially widespread locations.
Photo taken by Omer Tsur - AirWorks aerial photography
●Applicable at large scale.
●Relatively affordable.
●Can be used on any point in the world.
●Can be used anywhere especially in urban areas.
Provide 360 degree images.
Contain historical data.
World wide availability.
Many vendors:
Microsoft
Yandex
Apple
Kartaview
etc.
0.007 USD per each (7.00 USD per 1000).
Each image contains up to 120 degrees out of the panorama.
Max image size is 640x640.
We estimate that fully mapping of San Diego area using only street view images should cost around 51,000$.
Faster R-CNN model was trained to detect palm trees for aerial imagery with mAP of 0.5.
N
Faster R-CNN (mAP 0.9)
546 aerial images.
756 aerial detected palm trees.
4,544 street level images.
72% match between aerial images and street level detected palm trees.
Normal Heights Village, San Diego
Has a Palm Weevil problem.
Has ground truth data of infested palm trees (reports).
Has historical data in Google Street View.
22,438 aerial images
54,781 street view images
36,001 palm trees
109 were classified as infested
24 were infested at an advanced stage
Jun 2014
Nov 2017
April 2018
April 2019
Jun 2014
Nov 2017
April 2018
April 2019
Jun 2014
Nov 2017
April 2018
April 2019
Jun 2014
Nov 2017
April 2018
April 2019
Dima Kagan, Thomas Chesney, Michael Fire
Humanities and Social Sciences Communications
Data: PersonName, Roles, Threshold
Result: Matched character Names ← PersonName.split(); foreach Ni ∈ Names do if Roles[Ni].length = 1 then return Roles[Ni]; end return Max(WeightedRatio (PersonName, Roles[Ni], Threshold)) end |
Am I to understand you're still hanging
around with Dr. Emmett Brown, McFly?
Marty McFly
Lorraine McFly
George McFly
Subtitles
Cast Data
Cast Data
|
ScriptNetwork |
Subs2Network |
---|---|---|
Top-5 | 2.70 | 2.80 |
Top-10 | 5.35 | 6.06 |
Dima Kagan, Jacob Moran-Gilad, Michael Fire
GigaScience
Brockmann, D., & Helbing, D. (2013). The hidden geometry of complex, network-driven contagion phenomena. science, 342(6164), 1337-1342.
The ratio between the Number of Papers published on a specific infectious disease d to the total number of papers in the fields of medicine or biology in the year y
The ratio between the Number of Citations on a specific infectious disease d and the total number of citations about medicine or biology in year y
Disease | Median Experience in Years |
---|---|
SARS | 4 |
Avian Influenza | 5 |
Swine Flu | 5 |
Hepatitis B | 5 |
Ebola | 5 |
Influenza | 6 |
HIV/AIDS | 7 |
MERS Coronavirus | 7 |
Hepatitis C | 8 |
Disease | Papers |
---|---|
Swine Flu | 3.45 |
SARS | 3.84 |
MERS Coronavirus | 3.86 |
Ebola | 4.07 |
Hepatitis B | 4.42 |
Avian Influenza | 4.47 |
Influenza | 5.04 |
Hepatitis C | 5.24 |
HIV/AIDS | 6.31 |