Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[D] Adversarial Attacks on Obstructed Person Re-identification

Hi,

I was reading this post about Chinese face recognition papers at ICCV (https://www.reddit.com/r/MachineLearning/comments/dp389c/d_iccv_19_the_state_of_some_ethically/?utm_medium=android_app&utm_source=share) and started wondering whether an adversarial attack on obstructed personal re-identification models would be feasible, how would it be carried out, and whether it would actually make a relevant and useful personal project in the context of today’s power dynamics.

For example, with a GAN approach, one might use the re-identification model as a discriminator and try to train a generator to generate custom overlapping mask patches over one’s face in order to fool the discriminator into misidentifying the person.

What do you guys think?

submitted by /u/paubric
[link] [comments]

Next Meetup

 

Days
:
Hours
:
Minutes
:
Seconds

 

Plug yourself into AI and don't miss a beat

 


Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.