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 ...
This is Adversa’s monthly digest for July 2019. The power of Artificial Intelligence is in its unwavering attention and grand analytical capabilities. It makes sense to turn to AI when the stakes are as high as human lives, right? In this overview we dive into the attacks on autonomous cars ...
Adversa is once again sharing the research that captured our interest. In June 2019 we marveled at the incredibly effective new adversarial model with a whopping 97% success rate, learned about Youtube’s copyright system and the potential of human eyes in authentication, and saw the effects of human biases on ...
We offer a brief overview of the May 2019 research papers that caught our interest. This time our focus is on biometric-based data, current opportunities and potential problems it creates. You will also learn about the hard choice we as humans are facing now that scientists gain a better understanding ...
In April we fool. We fool visual classifiers and speech recognition systems with stickers, print outs, and imperceptible commands. Here is a rundown of the most impressive (and terrifying) ways the researchers attacked ML models in April 2019. Fooling automated surveillance cameras: adversarial patches to attack person detection Belgian students ...
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