Collaborate Disseminate
DeFlock is a crowd-sourced project to map license plate scanners.
It only records the fixed scanners, of course. The mobile scanners on cars are not mapped.
The post Mapping License Plate Scanners in the US appeared first on Schneier on Security.
Continue reading Mapping License Plate Scanners in the US
An anonymous reader quotes a report from 404 Media: Flock is one of the largest vendors of automated license plate readers (ALPRs) in the country. The company markets itself as having the goal to fully “eliminate crime” with the use of ALPRs and other … Continue reading Open Source Project DeFlock Is Mapping License Plate Surveillance Cameras All Over the World
An anonymous reader quotes a report from TechCrunch: The FBI is warning that hackers are obtaining private user information — including emails and phone numbers — from U.S.-based tech companies by compromising government and police email ad… Continue reading Hackers Are Sending Fraudulent Police Data Requests To Tech Giants To Steal People’s Private Information
The FBI is warning that hackers are obtaining private user information — including emails and phone numbers — from U.S.-based tech companies by compromising government and police email addresses to submit “emergency” data requests. From a report: The… Continue reading FBI Says Hackers Are Sending Fraudulent Police Data Requests To Tech Giants To Steal People’s Private Information
The Open Source Initiative has published (news article here) its definition of “open source AI,” and it’s terrible. It allows for secret training data and mechanisms. It allows for development to be done in secret. Since for a neural network, the training data is the source code—it’s how the model gets programmed—the definition makes no sense.
And it’s confusing; most “open source” AI models—like LLAMA—are open source in name only. But the OSI seems to have been co-opted by industry players that want both corporate secrecy and the “open source” label. (Here’s one …
Continue reading AI Industry is Trying to Subvert the Definition of “Open Source AI”
An anonymous reader quotes a report from 404 Media: If you voted in the U.S. presidential election yesterday in which Donald Trump won comfortably, or a previous election, a website powered by a right-wing group is probably doxing you. VoteRef makes it… Continue reading Voted In America? VoteRef Probably Doxed You
In September 2024, the Federal Trade Commission (FTC) released an eye-opening report that digs into the data habits of nine major tech giants, including Amazon (Twitch), ByteDance (TikTok), Discord, Facebook, Reddit, Snap, Twitter, WhatsApp, and YouTub… Continue reading Consumer privacy risks of data aggregation: What should organizations do?
A Facebook friend request leads to arrest, Twitter scams ride again via promoted ads, and adult websites expose their members. Oh, and Graham finds out what Rule 34 is.
All this and more is discussed in the latest edition of the award-winning “Smash… Continue reading Smashing Security podcast #392: Pasta spies and private eyes, and are you applying for a ghost job?
A "privacy by compartmentalization" measure I used to implement in my day to day surfing was to separate each part into Firefox profiles. (Work, Study, Finance…)
Recently I learned about Firefox Containers. It would be way more… Continue reading Firefox containers vs profiles, how contained are they?
53% of consumers report being aware of their national privacy laws, a 17-percentage point increase compared to 2019, according to Cisco. Informed consumers are also much more likely to feel their data is protected (81%) compared to those who are unawar… Continue reading Strong privacy laws boost confidence in sharing information with AI