Google says it’s too easy for hackers to find new security flaws

Attackers are exploiting the same types of software vulnerabilities over and over again, because companies often miss the forest for the trees.

In December 2018, researchers at Google detected a group of hackers with their sights set on Microsoft’s Internet Explorer. Even though new development was shut down two years earlier it’s such a common browser that if you can find a way to hack it, you’ve got a potential open door to billions of computers.

The hackers were hunting for, and finding, previously-unknown flaws, known as zero-day vulnerabilities.

Google’s security team known as Project Zero,  spotlights multiple examples of zero-days, including problems that Google itself has had with its popular Chrome browser.  Read More

Project Zero

  1. Introducing the In-the-Wild Series
  2. Chrome: Infinity Bug
  3. Chrome Exploits
  4. Android Exploits
  5. Android Post-Exploitation
  6. Windows Exploits
#cyber

Tech giants open up about their algorithms

Google, Facebook, TikTok and others are starting to talk more about how their algorithms work in a bid to win trust.

Yes, but: It’s hard to know what isn’t being revealed.

  • Google on Monday published a blog post that shows users how to access more information about their search results, the day ahead of its Q4 earnings report.
  • Facebook similarly released a post last week about how its News Feed algorithm works the day before its Q4 earnings.
  • TikTok last year, amid the threat of a ban from the Trump administration, walked Axios and other reporters through an extensive presentation of how its prized algorithm works.

Read More

#artificial-intelligence, #big7

Reinforcement Learning At Facebook with Jason Gauci

If you ever wanted to learn about machine learning you could do worse than have Jason Gauci teach you. Jason has worked on YouTube recommendations. He was an early contributor to TensorFlow the open-source machine learning platform. His thesis work was cited by DeepMind. Read More

#podcasts, #reinforcement-learning

How to learn deep learning by reading papers

Create a system in order to be up to date with deep learning research

Deep learning is moving so fast, that the only way to keep up is by reading directly from the people who publish these new findings. If you’re a technical person and want to learn about deep learning in 2021, you need to read papers. Read More

#deep-learning

How AI Accelerates the Fight Against Fake News

Microchips in coronavirus vaccines. Pedophile rings in pizza restaurants. Jewish space lasers. The Internet–bless its heart–has always suffered from its share of wacky wingnuts and conspiracy theories. But in the wake of the November 3 presidential election and the January 6 Capitol riot, social media platforms and governments are stepping up their efforts to crack down on the most problematic content, and AI plays a leading role. Read More

#fake