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aren01

Social Networks Are Becoming a Security Risk [SURVEY] - 0 views

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    "According to a report by Sophos, malware and spam are on the rise on social networks such as Twitter, MySpace, Facebook and LinkedIn. In the last year, 57% of users report they have been spammed via social networking sites, an increase of 70.6% compared to last year. Furthermore, 36% of users claim they've been sent malware via social networking sites, which is a rise of 69.8% from last year. On the other hand, CEOs of companies are concerned that their employees' usage of social networks is posing a security risk for their company. Sophos has surveyed more than 500 organizations, discovering that 72% of them think social networks are a danger for their companys, with 60% of them tagging Facebook as the biggest security risk, followed by MySpace, Twitter and LinkedIn. Graham Cluley, senior technology consultant for Sophos, says that Facebook is the biggest threat because it's the biggest social network out there, but he also places some of the blame on Facebook's own privacy rules. "When Facebook rolled-out its new recommended privacy settings late last year, it was a backwards step, encouraging many users to share their information with everybody on the internet," he says. Interestingly enough (and contrasted to some of the reports we've seen lately), Cluley thinks that simply barring access to Facebook is not the solution. "Social networks can be an essential part of the business mix today," he says, "and the answer is not to bar staff from participating in them but to apply some 'social security' instead.""
dr tech

Amazon's Ring is the largest civilian surveillance network the US has ever seen | Laure... - 1 views

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    "Ring is effectively building the largest corporate-owned, civilian-installed surveillance network that the US has ever seen. An estimated 400,000 Ring devices were sold in December 2019 alone, and that was before the across-the-board boom in online retail sales during the pandemic. Amazon is cagey about how many Ring cameras are active at any one point in time, but estimates drawn from Amazon's sales data place yearly sales in the hundreds of millions. The always-on video surveillance network extends even further when you consider the millions of users on Ring's affiliated crime reporting app, Neighbors, which allows people to upload content from Ring and non-Ring devices."
dr tech

Experimental evidence of massive-scale emotional contagion through social networks | PNAS - 0 views

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    "Emotional states can be transferred to others via emotional contagion, leading people to experience the same emotions without their awareness. Emotional contagion is well established in laboratory experiments, with people transferring positive and negative emotions to others. Data from a large real-world social network, collected over a 20-y period suggests that longer-lasting moods (e.g., depression, happiness) can be transferred through networks [Fowler JH, Christakis NA (2008) BMJ 337:a2338], although the results are controversial. "
aren01

Social networks' anti-racism policies belied by users' experience | Race | The Guardian - 1 views

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    ""The abhorrent racist abuse directed at England players last night has absolutely no place on Twitter," the social network said on Monday morning. A Facebook spokesperson said similarly: "No one should have to experience racist abuse anywhere, and we don't want it on Instagram." But the statements bore little relation to the experience of the company's users. On Instagram, where thousands left comments on the pages of Marcus Rashford, Bukayo Saka and Jadon Sancho, supportive users who tried to flag abuse to the platform were surprised by the response."
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    "The world's biggest social networks say racism isn't welcome on their platforms, but a combination of poor enforcement and weak rules have allowed hate to flourish."
dr tech

These incredibly realistic fake faces show how algorithms can now mess with us - MIT Te... - 0 views

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    "The researchers, Tero Karras, Samuli Laine, and Timo Aila, came up with a new way of constructing a generative adversarial network, or GAN. GANs employ two dueling neural networks to train a computer to learn the nature of a data set well enough to generate convincing fakes. When applied to images, this provides a way to generate often highly realistic fakery. The same Nvidia researchers have previously used the technique to create artificial celebrities (read our profile of the inventor of GANs, Ian Goodfellow)."
dr tech

For two years, criminals stole sensitive information using malware hidden in individual... - 0 views

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    "The criminals were able to send banner ads and javascript to their targets' computers by pushing both into ad networks. These networks aggressively scan advertisers' javascript for suspicious code, so the criminals needed to sneak their bad code past these checks."
dr tech

How the internet was invented | Technology | The Guardian - 0 views

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    "In response, the architects of the internet developed a kind of digital Esperanto: a common language that enabled data to travel across any network. In 1974, two Arpa researchers named Robert Kahn and Vint Cerf published an early blueprint. Drawing on conversations happening throughout the international networking community, they sketched a design for "a simple but very flexible protocol": a universal set of rules for how computers should communicate."
dr tech

Real life CSI: Google's new AI system unscrambles pixelated faces | Technology | The Gu... - 0 views

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    "Google's neural networks have achieved the dream of CSI viewers everywhere: the company has revealed a new AI system capable of "enhancing" an eight-pixel square image, increasing the resolution 16-fold and effectively restoring lost data. The neural network could be used to increase the resolution of blurred or pixelated faces, in a way previously thought impossible; a similar system was demonstrated for enhancing images of bedrooms, again creating a 32x32 pixel image from an 8x8 one."
dr tech

Would a Google car sacrifice you for the sake of the many? - Medium - 0 views

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    "But what will robot cars be programmed to do when there's lots of them on the roads, and they're networked with one another? We know what we as individuals would like. My car should take as its Prime Directive: "Prevent my passengers from coming to harm." But when the cars are networked, their Prime Directive well might be: "Minimize the amount of harm to humans overall." "
Max van Mesdag

PlayStation Network Gets Back to Normal - 0 views

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    Playstation 3 owners had been scared yesterday when some machines miscalculated a leap year, disconnecting it from the loop of PlayStation Network. Everything seems to be okay now, we hope.
dr tech

What we know about 'Regin,' the powerful malware that could be the work of NSA - 0 views

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    "Regin is a tool capable of infecting and compromising entire networks, not just individual computers, as security companies Symantec and Kaspersky Labs detailed in their technical reports published on Sunday and Monday. It's not only a computer virus or malware, but also a toolkit or platform that can be used for different purposes, depending on the needs of the attackers. It can collect passwords, retrieve deleted files, and even take over entire networks and infrastructures, according to researchers. "
dr tech

OK, panic-newly evolved ransomware is bad news for everyone | Ars Technica - 0 views

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    "And that means that there's now a financial incentive for going after just about anything. While the payoff of going after businesses' networks used to depend on the long play-working deep into the network, finding and packaging data, smuggling it back out-ransomware attacks don't require that level of sophistication today. It's now much easier to convert hacks into cash."
dr tech

Twitter ordered to reveal user behind parody JD Wetherspoon account | Technology | The ... - 0 views

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    "The social network, which did not oppose the application, has until mid-January to comply. The parody accounts, @Wetherspoon__UK and @SpoonsTom, have tens of thousands of followers each on the social network, and tweet a mixture of fake updates about Wetherspoon's pubs and replies to users who mistakenly believe they are contacting the real company."
dr tech

Machine-learning photo-editor predicts what should be under your brush / Boing Boing - 0 views

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    "In Neural Photo Editing With Introspective Adversarial Networks, a group of University of Edinburgh engineers and a private research colleague describe a method for using "introspective adversarial networks" to edit images in realtime, which they demonstrate in an open project called "Neural Photo Editor" that "enhances" photos by predicting what should be under your brush."
dr tech

Whose job is it to stop the livestreaming of mass murder? | Media | The Guardian - 0 views

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    "The latest incident has revived questions about who should be responsible for removing harmful content from the internet: the networks that host the content, the companies that protect those networks, or governments of the countries where the content is viewed."
dr tech

'Facebook isn't interested in countries like ours': Azerbaijan troll network returns mo... - 0 views

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    "Facebook has allowed a state-backed harassment campaign targeting independent news outlets and opposition politicians in Azerbaijan to return to its platform, less than six months after it banned the troll network. A Guardian investigation has revealed how Facebook allowed an arm of Azerbaijan's ruling party, the YAP, to carry out the harassment campaign for 14 months after an employee, Sophie Zhang, first alerted managers and executives to its existence in August 2019."
dr tech

Algorithm finds hidden connections between paintings at the Met | MIT CSAIL - 0 views

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    "What Hamilton and his colleagues found surprising was that this approach could also be applied to helping find problems with existing deep networks, related to the surge of "deepfakes" that have recently cropped up. They applied this data structure to find areas where probabilistic models, such as the generative adversarial networks (GANs) that are often used to create deepfakes, break down. They coined these problematic areas "blind spots," and note that they give us insight into how GANs can be biased. Such blind spots further show that GANs struggle to represent particular areas of a dataset, even if most of their fakes can fool a human. "
dr tech

Apple's iOS update will be bad news for developers, but a boon for users | Apple | The ... - 0 views

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    "On the other hand, users (as distinct from developers) are about to see an upside of Apple's monopoly power. The next update of its mobile operating system, iOS14, includes a change that should have a dire impact on many online advertisers. The industry assigns a unique code to each device called an IDFA. Knowing your IDFA can help advertisers tell whether their ads are effective, particularly when they've shown you the same ad in multiple places. Facebook uses the IDFA as part of Audience Network, its ad network for developers."
dr tech

Can anyone avoid CCTV surveillance? We ask an expert | Social trends | The Guardian - 0 views

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    "You're nailing the problem: the tech sales people and the politicians are all on the same drug, which is "This tech is perfect", because it's cheaper than more police. There's a lawsuit in the US because a black man was wrongly arrested based on facial recognition. Tech companies need to be held to account. One company we focused on, Clearview AI, scraped social networks - collected images of people's faces and data from publicly available information - to create its software. Facial recognition relies on artificial intelligence. It needs to study faces. And only the government - the DVLA etc - and social networking companies have access to a lot of faces."
dr tech

Scientists Increasingly Can't Explain How AI Works - 0 views

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    "There's a similar problem in artificial intelligence: The people who develop AI are increasingly having problems explaining how it works and determining why it has the outputs it has. Deep neural networks (DNN)-made up of layers and layers of processing systems trained on human-created data to mimic the neural networks of our brains-often seem to mirror not just human intelligence but also human inexplicability."
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