Machine learning and artificial intelligence can both be used for bad and for good Fooled AI into ignoring stop signs using a cheap projector The Next Web, August 16, 2021 A new adversarial attack can force the system to see or overlook what the malefactors need. Purdue researchers presented their ...
The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack Adversarial patch attack against image classification deep neural networks (DNNs) as within such attacks a malefactor ...
Machine learning has come a long way, but it needs to meet safety criteria Novel Feature Importance-Aware Transferable Adversarial Attacks Dramatically Improve Transferability Synced, August 10, 2021 Researchers have proposed the Feature Importance-Aware Attacks able so significantly enhance the transferability of adversarial examples. Deep neural networks are increasingly used in ...
The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Poison Ink: Robust and Invisible Backdoor Attack Confirmed that deep neural networks are vulnerable to different types of attacks; among them, backdoor attacks are of the greatest interest to researchers, ...
In order to test smart systems for strength, sometimes you need the help of a large number of people Twitter uses HackerOne bounties to find biases in its image-cropping AI model The Register, August 2, 2021 Twitter’s bug bounty competition is available through HackerOne, where you can help to improve ...
On August 5, CTO at Adversa Eugene Neelou delivered a talk at DEF CON AI Village to show the whole picture of ML and its security in today’s realities. The AI Village is a community of hackers and data scientists working to educate the world on the use and abuse ...
The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Learning to Adversarially Blur Visual Object Tracking Visual object tracking can be greatly complicated by moving of the object or camera which causes so-called motion blur. In this paper, researchers ...
Knowledge about artificial intelligence and its security needs to be constantly improved NIST Requests Information to Help Develop an AI Risk Management Framework Nist, July 29, 2021 The U.S. The Department of Commerce’s National Institute of Standards and Technology (NIST) solicits information from the public to be used in developing ...
The Adversa team makes for you a weekly selection of the best research in the field of artificial intelligence security Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition Today, a huge number of images of human faces are stored on the Internet, especially in social networks. At ...
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