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HackNotice launches as the first way to truly know what hackers have on you

(TECH NEWS) Consumers find out about hacks only when there are major breaches, and typically way too late. HackNotice is fighting back by quickly making indices of breaches public.

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We all know that our identities are at risk of being stolen, we’ve all grown tired of hoping a company will fess up when they’ve been breached, and we’ve all heard the horror stories of credit being unknowingly destroyed by strangers.

And so far, the only real solution is to remain vigilant and changing all of your passwords when you hear that a major company (be it a file storage company or a major retailer) has had a breach.

Today, there’s another solution. Enter HackNotice, a service that allows you to be proactive with your identity by finding out what hackers know about you and what they’ve recently stolen that is yours.

The co-founder of PwnedList is the brains behind HackNotice and sought to create a meaningful tool for consumers, noting that businesses have ample tools available, but individuals are nowhere near as empowered.

“Learn what hackers know about your digital identity and where you’ve been showing up in what dumps, leaks, and credentials,” Thomas explained.

So we’re not hackers here at The American Genius, and it’s all scary, but what we learned from HackNotice Founder, Steve Thomas, is that the real need is to address the blind spot in the security industry and to acknowledge that there are hacks every day that never make headlines.

Thomas combs the internet (including the Dark Web) as part of the hacker community, finds credentials and data dumps, indexing that and making the data totally public. That is far more impressive than getting an email from a retailer a year after a hack that says “oops, sorry.”

The problem as it exists today is that if your credit card is stolen, for example, you won’t find out until charges start popping up on your account. That information is typically sold once by a hacker, in bulk at $1-5 per credit card number, used to commit fraud by money mules who will steal what they can before the account is blocked.

Thomas advises that any time you find out you’ve used your credit card at a retailer, or sign in credentials on a website that has been hacked, don’t wait until you feel the ramifications, treat those accounts as if they are stolen (get a new credit card number and/or change your password). That’s the power of HackNotice – you don’t have to pray that you eventually learn about a particular vulnerability to address, you can learn through the site’s public index of secret hacks.

HackNotice brings threat intelligence to everyone, even us mere lay people mortals.

But we noticed by using the service that you can’t just insert your Social Security Number in and generate a list of vulnerabilities. Thomas said, “you should never put that number into anyone’s system,” even if you trust them.

Thomas himself, a longtime hacker community member, had his own info stolen last year. He says several of his passwords were freely shared, his SSN was publicly available, and charges were hitting his banks by the thousands. He can’t get a new social security number, and the data on him was repetitively stolen and shared, even his wife’s credit card pin number.

“Even I couldn’t keep track of all of the breaches last year,” he said, and he’s constantly combing for them. Which is the inspiration for HackNotice, to accumulate that data and make it publicly available, from the darkest corners of the internet.

Even the cyber security sector, which is typically a cynical bunch, is reacting positively to the HackNotice launch and Thomas’ efforts to fight back.

There’s a major knowledge gap, and Thomas is “taking a stab at solving that.” He notes that the current problem is that this is a “highly technical, nuanced security area,” and their mission is to “explain good security, and offer advice anyone can follow.”

Get ahead of the hackers by heading over to HackNotice to learn what they know about you, and be prepared to change your passwords and possibly request new credit card numbers.

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Career consultants help job seekers beat AI robot interviews

(TECH NEWS) With the growth of artificial intelligence conducting the job screening, consultants in South Korea have come up with an innovative response.

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When it comes to resume screenings, women and people of color are regularly passed over, even if they have the exact same resume as a man. In order to give everyone a fair try, we need a system that’s less biased. With the cool, calculating depictions of artificial intelligence in modern media, it’s tempting to say that AI could help us solve our resume screening woes. After all, nothing says unbiased like a machine…right?

Wrong.

I mean, if you need an example of what can go wrong with AI, look no further than Microsoft’s Tay, which went from making banal conversation to spouting racist and misogynistic nonsense in less than 24 hours. Not exactly the ideal.

Sure, Tay was learning from Twitter, which is a hotbed of cruelty and conflict, but the thing is, professional software isn’t always much better. Google’s software has been caught offering biased translations (assuming, for example, if you wrote “engineer” you were referring to a man) and Amazon has been called out for using job screening software that was biased against women.

And that’s just part of what could go wrong with AI scanning your resume. After all, even if gender and race are accounted for (which, again, all bets are off), you’d better bet there are other things – like specific phrases – that these machines are on the lookout for.

So, how do you stand out when it’s a machine, not a human, judging your work? Consultants in South Korea have a solution: teach people how to work around the bots. This includes anything from resume work to learning what facial expressions are ideal for filmed interviews.

It helps that many companies use the same software to do screening. Instead of trying to prepare to impress a wide variety of humans, if someone knew the right tricks for handling an AI system, they could potentially put in much less work. For example, maybe one human interviewer likes big smiles, while the other is put off by them. The AI system, on the other hand, won’t waver from company to company.

Granted, this solution isn’t foolproof either. Not every business uses the same program to scan applicants, for instance. Plus, this tech is still in its relative infancy – a program could easily be in flux as requirements are tweaked. Who knows, maybe someday we’ll actually have application software that can more accurately serve as a judge of applicant quality.

In the meantime, there’s always AI interview classes.

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Google chrome: The anti-cookie monster in 2022

(TECH NEWS) If you are tired of third party cookies trying to grab every bit of data about you, google has heard and responded with their new updates.

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Google has announced the end of third-party tracking cookies on its Chrome browser within the next two years in an effort to grant users better means of security and privacy. With third-party cookies having been relied upon by advertising and social media networks, this move will undoubtedly have ramifications on the digital ad sector.

Google’s announcement was made in a blog post by Chrome engineering director, Justin Schuh. This follows Google’s Privacy Sandbox launch back in August, an initiative meant to brainstorm ideas concerning behavioral advertising online without using third-party cookies.

Chrome is currently the most popular browser, comprising of 64% of the global browser market. Additionally, Google has staked out its role as the world’s largest online ad company with countless partners and intermediaries. This change and any others made by Google will affect this army of partnerships.

This comes in the wake of rising popularity for anti-tracking features on web browsers across the board. Safari and Firefox have both launched updates (Intelligent Tracking Prevention for Safari and the Enhanced Tracking Prevention for Firefox) with Microsoft having recently released the new Edge browser which automatically utilizes tracking prevention. These changes have rocked share prices for ad tech companies since last year.

The two-year grace period before Chrome goes cookie-less has given the ad and media industries time to absorb the shock and develop plans of action. The transition has soften the blow, demonstrating Google’s willingness to keep positive working relations with ad partnerships. Although users can look forward to better privacy protection and choice over how their data is used, Google has made it clear it’s trying to keep balance in the web ecosystems which will likely mean compromises for everyone involved.

Chrome’s SameSite cookie update will launch in February, requiring publishers and ad tech vendors to label third-party cookies that can be used elsewhere on the web.

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Computer vision helps AI create a recipe from just a photo

(TECH NEWS) It’s so hard to find the right recipe for that beautiful meal you saw on tv or online. Well computer vision helps AI recreate it from a picture!

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Ever seen at a photo of a delicious looking meal on Instagram and wondered how the heck to make that? Now there’s an AI for that, kind of.

Facebook’s AI research lab has been developing a system that can analyze a photo of food and then create a recipe. So, is Facebook trying to take on all the food bloggers of the world now too?

Well, not exactly, the AI is part of an ongoing effort to teach AI how to see and then understand the visual world. Food is just a fun and challenging training exercise. They have been referring to it as “inverse cooking.”

According to Facebook, “The “inverse cooking” system uses computer vision, technology that extracts information from digital images and videos to give computers a high level of understanding of the visual world,”

The concept of computer vision isn’t new. Computer vision is the guiding force behind mobile apps that can identify something just by snapping a picture. If you’ve ever taken a photo of your credit card on an app instead of typing out all the numbers, then you’ve seen computer vision in action.

Facebook researchers insist that this is no ordinary computer vision because their system uses two networks to arrive at the solution, therefore increasing accuracy. According to Facebook research scientist Michal Drozdzal, the system works by dividing the problem into two parts. A neutral network works to identify ingredients that are visible in the image, while the second network pulls a recipe from a kind of database.

These two networks have been the key to researcher’s success with more complicated dishes where you can’t necessarily see every ingredient. Of course, the tech team hasn’t stepped foot in the kitchen yet, so the jury is still out.

This sounds neat and all, but why should you care if the computer is learning how to cook?

Research projects like this one carry AI technology a long way. As the AI gets smarter and expands its limits, researchers are able to conceptualize new ways to put the technology to use in our everyday lives. For now, AI like this is saving you the trouble of typing out your entire credit card number, but someday it could analyze images on a much grander scale.

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