Deep learning has shown impressive performance on challenging perceptual tasks and has been widely used in software to provide intelligent services. However, researchers found deep neural networks vulnerable to adversarial examples. Since then, many methods are proposed to defend against adversaries in inputs, but they are either attack-dependent or shown to be ineffective with new attacks. And most of existing techniques have complicated structures or mechanisms that cause prohibitively high overhead or latency, impractical to apply on real software. We propose DAFAR, a feedback framework that allows deep learning models to detect/purify adversarial examples in high effectiveness and universality, with low area and time overhead. DAFAR has a simple structure, containing a victim model, a plug-in feedback network, and a detector. The key idea is to import the high-level features from the victim model's feature extraction layers into the feedback network to reconstruct the input. This data stream forms a feedback autoencoder. For strong attacks, it transforms the imperceptible attack on the victim model into the obvious reconstruction-error attack on the feedback autoencoder directly, which is much easier to detect; for weak attacks, the reformation process destroys the structure of adversarial examples. Experiments are conducted on MNIST and CIFAR-10 data-sets, showing that DAFAR is effective against popular and arguably most advanced attacks without losing performance on legitimate samples, with high effectiveness and universality across attack methods and parameters.

"All media exist to invest our lives with artificial perceptions and arbitrary values." The word disinformation is a cognate for the Russian dezinformatsia, the name of a KGB division devoted to propaganda. The world has come a long way from the Stalin days: USSR split, KGB became extinct, the Berlin Wall came down, and Fukuyama announced the End of History. Once the cold war ended, we thought the worst was over. Except, propaganda is a perpetual motion machine.

In analyzing the news and media landscape, the report states that the nature of subscription services has changed, and will continue to evolve as consumers will be asked to pay for virtual fashion, experiences and games. The report cites subscription service platform Zuora that the media business has an average subscription dropout rate of 34 percent, the highest of any industry sector studied. It stresses that local newspapers are not just competing with the likes of The Washington Post or The New York Times, but every audience-funded business.

In today's world, artificial intelligence has become very popular. It simulates natural intelligence in machines to learn and imitate people's behavior. These machines can learn through experience and perform tasks similar to humans. Like other emerging innovations in the past, AI has the ability to make employees more efficient, improve economic growth, and make life easier for millions of people. Governments at all levels must debate policies that help maximize the advantages of AI and reduce their risks. AI would reshape government in two ways, according to the Centre for Public Impact.

During the coronavirus pandemic, video games haven't just been a good pastime, they have been a pastime for good, too. And the charitable good video games could bring may escalate after COVID-19 concerns pass. The ability of video games to help others is just one of the topics at this week's South By Southwest Festival, which takes place virtually through Saturday. Keynote speakers include former President George W. Bush, voting rights advocate Stacey Abrams, Transportation Secretary Pete Buttigieg, Tinder CEO Jim Lazone, filmmaker Ava DuVernay ("Selma"), Facebook Chief Diversity Officer Maxine Williams, Willie Nelson and Keenan Thompson interviewed by Chance the Rapper. In addition to more than 230 conference sessions, the festival will debut 75 new films including "Tom Petty, Somewhere You Feel Free."

In this technical talk, Chad Jenkins from the University of Michigan posed the following question: "who will pay the cost for the likely mistakes and potential misuse of AI systems?" As he states, "we are increasingly seeing how AI is having a pervasing impact on our lives, both for good and for bad. So, how do we ensure equal opportunity in science and technology?" It would be great to talk about the many compelling ideas, innovations, and new questions emerging in robotics research. I am fascinated by the ongoing NeRF Explosion, prospects for declarative robot programming by demonstration, and potential for a reemergence of probabilistic generative inference.

Are robots coming for your job? New York Times tech columnist Kevin Roose says companies and governments are increasingly using automation and artificial intelligence to cut costs, transform workplaces and eliminate jobs -- and more changes are coming. "We need to prepare for the possibility that a lot of people are going to fall through the cracks of this technological transformation," Roose says. "It's happened during every technological transformation we've ever had, and it's going to happen this time. And in fact, it already is happening."

SafeGraph, a startup using AI to create and maintain mobility datasets, today announced that it raised $45 million in funding led by Sapphire Ventures. With the investment, SafeGraph plans to capitalize on the expanding international market of data buyers and offer new ways for companies to buy data through its network. Location data is fast-becoming a hot commodity. In May 2019, 94% of mobile marketers in the U.S. surveyed by Statista said they were already using location data for advertising purposes, while 94% indicated that they were planning to do so in the future. While more users worldwide are refusing to share location data with apps, marketers say the data is incredibly valuable for targeting purposes and personalizing customer experiences.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The U.S. government's highway safety agency is sending a team to Detroit to investigate a crash involving a Tesla that drove beneath a semitrailer. The National Highway Traffic Safety Administration says Monday night that a special crash investigation team will go to the city to investigate the "violent crash." Two people were critically injured in the crash that happened last Thursday on the city's southwest side.

The U.S. government's highway safety agency is sending a team to Detroit to investigate a crash involving a Tesla that drove beneath a semitrailer. The National Highway Traffic Safety Administration says Monday night that a special crash investigation team will go to the city to investigate the "violent crash." Two people were critically injured in the crash that happened last Thursday on the city's southwest side. The crash circumstances are similar to two others in Florida in which Teslas drove beneath tractor-trailers, causing two deaths. In both crashes, in 2016 and 2019, the cars were being driven while using Tesla's Autopilot partially automated driving software.