We talk a lot about data and model development for AI based tasks, and we also talk about privacy of data, sensitive information and breach of data. Here, we will explore more on how data involved in training an ML model is at risk and what it means to preserve this data!
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Slides: https://drive.google.com/drive/folders/1-iyB2h5YBR2LPiJLlbOL6_XMws9zphpR?usp=sharing
We talk a lot about data and model development for AI based tasks, and we also talk about privacy of data, sensitive information and breach of data. Here, we will explore more on how data involved in training an ML model is at risk and what it means to preserve this data!
This will be a hybrid event! While we have a speaker at a venue open to attendees, if you would prefer to attend virtually, you can join the live stream session instead.
Note: The venue has a requirement that all attendees be fully vaccinated against COVID-19. The health of our attendees and the venue staff is our highest priority and we appreciate your understanding.
Food, sodas, and water will be provided - most likely Jimmy John's, including gluten-free and vegan options.
Agenda:
6:00 - In-person doors open
6:15 - Virtual networking open
6:30 - Welcome
6:40 - Privacy Preserving Machine Learning
Location:
Parking:
The venue has suggested not parking in the attached garage as it closes at 7 and sometimes causes issues getting out. You can see other available public garages and lots on the downtown Kansas City website (https://www.visitkc.com/visitors/getting-around/maps/downtown-parking-map).
We won't be able to validate any parking. However, there is a street car stop directly in front of the venue, so there are plenty of options. As a reminder, RideKC has many free options now which can be easily found using their app (https://ridekc.org/fares/transit-app).
October 26 – 27, 2022
11:30 PM – 12:45 AM (UTC)
| 11:30 PM | Welcome |
| 11:40 PM | Privacy Preserving Machine Learning |
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