One pixel attack | Just change one pixel and fool the neural network into making crazy predictions

One pixel attack is a fascinating concept. It shows how vulnerable the neural networks are.
This lecture is part of the Explainable AI (XAI) course.
References:
Colab notebook: colab.research...
Papers
One pixel attack: arxiv.org/pdf/...
GitHub repos
Original GitHub repo: github.com/Hyp...
My GitHub repo: github.com/sre...
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Explainable AI (XAI) Lecture series is a project started by the co-founders of Vizuara: Dr. Raj Dandekar (IIT Madras Btech, MIT PhD), Dr. Rajat Dandekar (IIT Madras Mtech, Purdue PhD) and Dr. Sreedath Panat (IIT Madras Mtech, MIT PhD).
Explainable AI (XAI) lecture series is not a normal video course. In this project, we will teach XAI from scratch. We will make lecture notes, and also share reference material.
As we learn the material again, we will share thoughts on what is actually useful in industry and what has become irrelevant. We will also share a lot of information on which subject contains open areas of research. Interested students can also start their research journey there.
Students who are confused or stuck in their ML journey, maybe courses and offline videos are not inspiring enough. What might inspire you is if you see someone else learning machine learning from scratch.
No cost. No hidden charges. Pure old school teaching and learning.
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🌟 Meet Our Team: 🌟
🎓 Dr. Raj Dandekar (MIT PhD, IIT Madras department topper)
🔗 LinkedIn: / raj-abhijit-dandekar-6...
🎓 Dr. Rajat Dandekar (Purdue PhD, IIT Madras department gold medalist)
🔗 LinkedIn: / rajat-dandekar-901324b1
🎓 Dr. Sreedath Panat (MIT PhD, IIT Madras department gold medalist)
🔗 LinkedIn: / sreedath-panat