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Textual analysis of End User License Agreement for red-flagging potentially malicious software

Khan, Behraj, Syed, Tahir, Khan, Zeshan, Rafi, Muhammad

arXiv.org Artificial Intelligence

New software and updates are downloaded by end users every day. Each dowloaded software has associated with it an End Users License Agreements (EULA), but this is rarely read. An EULA includes information to avoid legal repercussions. However,this proposes a host of potential problems such as spyware or producing an unwanted affect in the target system. End users do not read these EULA's because of length of the document and users find it extremely difficult to understand. Text summarization is one of the relevant solution to these kind of problems. This require a solution which can summarize the EULA and classify the EULA as "Benign" or "Malicious". We propose a solution in which we have summarize the EULA and classify the EULA as "Benign" or "Malicious". We extract EULA text of different sofware's then we classify the text using eight different supervised classifiers. we use ensemble learning to classify the EULA as benign or malicious using five different text summarization methods. An accuracy of $95.8$\% shows the effectiveness of the presented approach.


Generative AI in Games Will Create a Copyright Crisis

WIRED

AI Dungeon, a text-based fantasy simulation that runs on OpenAI's GPT-3, has been churning out weird tales since May 2019. Reminiscent of early text adventure games like Colossal Cave Adventure, you get to choose from a roster of formulaic settings--fantasy, mystery, apocalyptic, cyberpunk, zombies--before picking a character class and name, and generating a story. Here was mine: "You are Mr. Magoo, a survivor trying to survive in a post-apocalyptic world by scavenging among the ruins of what is left. You have a backpack and a canteen. You haven't eaten in two days, so you're desperately searching for food."


Wendy's or McDonald's? Your connected car knows what you like.

#artificialintelligence

The day when self-driving cars dominate the world's highways is still years away, experts agree, but that hasn't discouraged a crowded field of established automakers and startups from spending billions of dollars on the journey to making autonomous vehicles an everyday reality. The futuristic end goal is to allow riders to get in their car, tell their voice assistant where they're going, and go there without the pesky problem of paying attention to steering and navigating. While we're getting to that goal, automakers are gradually adding trusted self-driving features like lane assist and parking assist. At the same time, automobiles are becoming more and more connected. A 2017 study from McKinsey suggested that cars are now sending up to 25 gigabytes of data into the cloud every hour.


Nvidia changed EULA - no deep learning on geforce gpus in datacenters • r/deeplearning

#artificialintelligence

I feel as if this could be a good thing. It would keep the price down for the general consumer market. Else I'd fear supply/demand could drive the GTX1180 to be a $1000 card. It sucks because their price to performance ratio is way higher, but consumers can't afford the same as what corporations can.