Adversarial ML

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Adversarial ML admin / October 31, 2020

Attacking object detection models with dynamic patches

Despite the fact that deep neural networks have become an integral part of highly vulnerable activities, they are highly susceptible to adsarial attacks. We have compiled a selection of the most interesting studies for October 2020. Dynamic Adversarial Patch for Evading Object Detection Models Deep neural networks (DNN) have become ...

todayDecember 31, 2019

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Adversarial ML admin

Aiding medics and law enforcement

This is Adversa’s monthly digest of the studies in the field of Machine Learning and Artificial Intelligence. From December 2019 we choose to cover the studies that look at AI applications in our healthcare and public safety systems. Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking and Vehicle Re-ID ...

todayNovember 30, 2019

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Adversarial ML admin

The Greater Good: using AI for public safety

Most uses for AI are not flashy or glamorous: there is rarely a Jarvis ready to prepare an iron suit. Instead, scientists are working on airport security systems, tempering with protest headcounts, sensitive content flagging, etc.  —  mundane systems that keep millions of people safe. Maybe, AI is a little ...