In some areas of human activity, for example, in the field of health care or autonomous transport, the security of neural networks is critical, therefore research in this area is of great importance. Here is a selection of the most interesting ones for January 2021. Black-box Adversarial Attacks in Autonomous ...
Carrying out attacks on machine learning models as part of the study is necessary for further successful work on potential vulnerabilities. And here is a selection of the most interesting studies for December 2020. FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems Optical Character Recognition (OCR) is ...
This month, as usual, we have prepared for you a selection of the most interesting research on the security of artificial intelligence. Multi-Task Adversarial Attack Deep neural networks are used in various fields, but at the moment there is a huge amount of research confirming the vulnerability to adversarial attacks. ...
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 ...
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 ...
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 ...
This is Adversa’s overview of the most exciting developments in AI Security in October 2019. For an appetizer we have possibilities for financial fraud, followed by a physical attack on self-driving cars and a helping of AI defense frameworks. Read all the way to the desert and learn which T-shirts ...
Adversa presents a brief overview of the game-changing research in AI Security from September 2019. Here is all you need to know about the novel attacks created: their mechanics, their strengths, and ways to fend them off. Invisible Backdoor Attacks Against Deep Neural Networks Imagine a lab with restricted access. ...
This is Adversa’s overview of the August 2019 research in the field of AI Security. As usual, we are covering adversarial attacks that allow us to build better defenses. This month we are blown away by adversarial commands to speech recognition systems that cannot be heard and successful adversarial intrusions ...
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