Adversarial Attacks Against Machine Vision

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Recorded at the GAIA conference on April 10th 2018

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Authors: Asif Hanif, Muhammad Zaigham Zaheer, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer Paper Link: ...

CAMLIS 2019, David Elkind Mitigating

Authors: Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang Description: Deep neural networks (DNNs) ...

Are your Image Classification models actually secure?

Project Webpage: https://light.princeton.edu/ Existing neural networks for

ShapeShifter is the first targeted physical

A simple explanation of

In

This project studies how easily a YOLOv8 aircraft detector can be fooled. We fine-tuned the model on aerial photographs that ...

Purdue University | ECE 595ML |

Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer - Stanford University http://onlinehub.stanford.edu/ Andrew Ng ...

Support us on Patreon: https://www.patreon.com/TwoMinutePapers The paper "

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Deep Learning models, such as those used

Real-World Implications: See why robustness

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Adversarial attacks