ML and Privacy

Introduction of Machine Learning and privacy conducted at infosecgirls, Ahmedabad chapter.

Transcript

1. Machine Learning and privacy InfoSecGirls, Ahmedabad
2. https://www.autodraw.com/ OR https://magic-sketchpad.glitch.me AutoDraw is a new kind of drawing tool that pairs the magic of machine learning with drawings from talented artists to help everyone create anything visual, fast.
3. Move Mirror https://experiments.withgoogle.com/collection/ai/move-mirror/view/mirror
4. Machine Learning
5. AI, ML and DL
6. What is Machine Learning ? • Machine Learning is a type of Artificial Intelligence that provides computers with the ability to learn without being explicitly programmed. Learn from Data. • it is the study of computer algorithms that improve automatically through experience. What they said : “Machine Learning is the next Internet.” – Tony Tether, Director, DARPA “Machine learning is the hot new thing” – John Hennessy, President, Stanford
7. Supervised learning Unsupervised learning Map Input variables/features to some discrete value Map Input variables/features to some Continuous value Data analysis to find hidden patterns/grouping in data
9. Let’s try to understand by Visualization https://playground.tensorflow.org/
10. Top Use Cases related to InfoSec • To detect malicious activity and stop attacks • To analyze mobile endpoints • To automate repetitive security tasks • To enhance human analysis • Keep people safe when browsing
13. Dataset Design approach
17. There will always be a man trying to find weaknesses in systems or ML algorithms and to bypass security mechanisms. What’s worse, now hackers are able to use machine learning to carry out all their nefarious endeavors.[1] [1] https://towardsdatascience.com/machine-learning-for-cybersecurity-101-7822b802790b
19. All Links and Material https://goo.gl/3L9cGu
20. By Krupa Galiya @krupagaliya