Unsupervised Learning cover image

Unsupervised Learning

Latest episodes

undefined
May 14, 2019 • 23min

Unsupervised Learning: No. 177

My Takeaways from the 2019 DBIR Report My Summary The ReportThe DOJ has unsealed the indictment against those who they believe hacked Anthem in 2015, and they are Chinese Nationals. They didn't reveal the suspected motive, however. But as I wrote about last year, I don't think we need an explanation. I think it's obvious. MoreAn Airbnb host in China has been arrested for watching guests using a hidden camera. MoreThe Mossad has released an interesting challenge in something of a spy CTF style. MoreChinese scientists have created a small, portable camera system that uses LIDAR to resolve human features from up to 28 miles away. Good news—it also penetrates smog. MoreBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
undefined
May 4, 2019 • 11min

Finding Clarity on the Exodus of the New Left

A short essay that attempts to wrap a simple narrative around what's happening with the exodus of the New Left, and what it's doing to the moderate left, center, and right that they left behind.Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
undefined
May 1, 2019 • 37min

Unsupervised Learning: No. 175

Deepfakes are about to seriously erode our collective ability to tell truth from fiction, and this is already a big enough problem without them. Think of every problem you care about, and realize this represents an exponent on each one. This video captures it extremely well. LinkSlack has warned the world that it's being targeted by Nation State actors. I'm glad they said it, but we already knew that. Think of what an attacker could get if they could access any company's internal Slack communication without being detected. LinkScientists have captured the brain waves of someone hearing speech, run that through an algorithm that created it's own speech from the recordings, and got a 75% recognition rate from humans on that speech. So the algorithm knew what the person heard, and turned that into spoken language that people actually understood. The next step is for the algorithm to know what people thought, instead of heard. In other words, machine learning is taking very close to mind-reading—but we still have potholes and cancer. LinkBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
undefined
Apr 14, 2019 • 1h 46min

A Political Discussion with Jeremiah Grossman

Today's standalone episode of Unsupervised Learning is a political conversation with Jeremiah Grossman, who many of you will know as the founder of Whitehat Security, current CEO of BitDiscovery, Jujitsu Blackbelt, and all-around great individual. In this episode, however, we’re not going to be talking about Information Security, but Politics. We have remarkably different and similar views on politics, which we’ve been discussing in private for years, and we thought now was the perfect time to show that it’s possible to disagree with someone, respect them, and have a conversation about those disagreements in a positive and useful way. This is the first experiment of this kind on Unsupervised Learning, and I’m quite pleased with how it turned out. So with that, Here’s Jeremiah Grossman.Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
undefined
Apr 14, 2019 • 25min

Unsupervised Learning: No. 173

Amazon has many thousands of people doing quality control on Alexa, meaning that they're listening to incoming audio captured on Echo devices. This shouldn't be surprising. The question is how they're doing it, and what policies they have around privacy when doing so. I don't personally see a major problem here. But at the same time I'd never put a Facebook device in my home. To me it's more about the company and its incentives than anything else. LinkA number of FBI-affiliated websites were hacked, and information on thousands of federal agents and law enforcement officers are now being sold online. LinkChinese schools are using facial recognition on students, and using ML to determine whether or not they're currently paying attention, distracted, etc. LinkSift is a service that builds a risk profile on you so merchants can determine whether you're a benign actor or someone about to commit fraud. I think people need to accept that continuous risk scoring for people and situations is both inevitable and actually already happening. The moment you try to block bad actors by looking at their behavior, you quickly end up with a score that determines action based on various thresholds. And the moment you do it for bad actors, you're kind of implicitly doing it for good actors as well. There are better and worse ways to approach this, but profile scoring is not something we're going to be able to avoid going forward. Let's accept this reality and start having the conversations about how to make (and keep) this functionality as benign as possible. LinkA Dutch F-16 was damaged by rounds from its own 20MM cannon. So it fired bullets, and then flew into them. Life is awesome. LinkBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
undefined
Apr 1, 2019 • 19min

Unsupervised Learning: No. 171

Mastercard is looking to create a Digital ID service that can bind your digital presence to your mobile device, which will be able to verify you to various services. Palantir has won an $800 million contract to build the next combat intelligence system (to replace DCGS-A) for the Army. Putin appears to be causing brain drain in Russia. Dropbox has an interesting proposal for improving vendor security assessments. TL;DR: They turned their requirements into contractual points. LOVE IT. Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
undefined
Mar 18, 2019 • 19min

Unsupervised Learning: No. 169

Multiple governments have now blacklisted Huawei, which Huawei seems very confused by. The best explanation I've heard so far about why this move makes sense for western countries came from Rob Joyce of NSA. He basically said that just like Kaspersky in Russia, the reason you can't trust Huawei is that it's a Chinese company, and even if they're not already infiltrated by the Chinese government, they can be at any moment without anyone knowing that it happened. And there's nothing Huawei or anyone else could do to stop it. Strong argument. Link2/3 of Android antivirus apps are hot garbage. Gasp. LinkDARPA is building an open-source, secure voting system. That's their goal, anyway. I'm skeptical of being able to build truly secure systems, but I have lots of confidence in DARPA, and I also know the bar for improvement over the current state is quite low. So, yeah, go forth and prosper. LinkThe RAND Think Tank conducts wargames between the U.S. and its potential enemies, such as Russia and China, and one analyst said that we keep losing. The issue seems to be that our key advantages can be neutralized rather easily, and it'd take a lot of money to fix the biggest issues. LinkBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
undefined
Mar 3, 2019 • 34min

Unsupervised Learning: No. 167

This is a description of cyberwar that sounds quite realistic to me, and it's based around the thousand-cuts idea. Ring Doorbells have a vulnerability that allows one to capture clear-text videos and other data from the cameras if you can get on the wireless network that the camera is using. An independent security researcher found the Dow Jones Watchlist database sitting open on the internet. Schneier talks here about how easy it is to influence people in sensitive positions, similar to my post on China building a database on us.…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
undefined
Feb 21, 2019 • 24min

Unsupervised Learning: No. 165

OpenAI text spoofing, Twitter DMs, Chinese tracking database, Ponemon Cyber Risk Score, Technology News, Human News, Ideas Trends & Analysis, Discovery, Recommendations, and the Weekly Aphorism…Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.
undefined
Feb 4, 2019 • 17min

Unsupervised Learning: No. 163

My takeaways from ENIGMA 2019—one of my two favorite conferences in the world. The US has charged Huawei with stealing trade secrets, money laundering, and fraud. This escalates the already tense situation with China on a number of fronts. An engineer does a Twitter thread on AI-created videos on YouTube. He describes how they are created, promoted, and selected for display in recommendations. Fascinating read. This is a video of thieves scanning a BMW key fob through the wall of the owner's house, and driving away in their car. It could be that proximity-based security devices might need a trigger event (from the owner) before becoming active, like for mobile payments.Become a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode