Matthew Green Profile picture
Jun 10 22 tweets 6 min read Read on X
So Apple has introduced a new system called “Private Cloud Compute” that allows your phone to offload complex (typically AI) tasks to specialized secure devices in the cloud. I’m still trying to work out what I think about this. So here’s a thread. 1/
Apple, unlike most other mobile providers, has traditionally done a lot of processing on-device. For example, all of the machine learning and OCR text recognition on Photos is done right on your device. 2/
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The problem is that while modern phone “neural” hardware is improving, it’s not improving fast enough to take advantage of all the crazy features Silicon Valley wants from modern AI, including generative AI and its ilk. This fundamentally requires servers. 3/
But if you send your tasks out to servers in “the cloud” (god using quotes makes me feel 80), this means sending incredibly private data off your phone and out over the Internet. That exposes you to spying, hacking, and the data hungry business model of Silicon Valley. 4/
The solution Apple has come up with is to try to build secure and trustworthy hardware in their own data centers. Your phone can then “outsource” heavy tasks to this hardware. Seems easy, right? Well: here’s the blog post. 5/security.apple.com/blog/private-c…
TL;DR: it is not easy. Building trustworthy computers is literally the hardest problem in computer security. Honestly it’s almost the only problem in computer security. But while it remains a challenging problem, we’ve made a lot of advances. Apple is using almost all of them. 6/
The first thing Apple is doing is using all the advances they’ve made in building secure phones and PCs in their new servers. This involves using Secure Boot and a Secure Enclave Processor (SEP) to hold keys. They’ve presumably turned on all the processor security features. 7/
Then they’re throwing all kinds of processes at the server hardware to make sure the hardware isn’t tampered with. I can’t tell if this prevents hardware attacks, but it seems like a start. 8/ Image
They also use a bunch of protections to ensure that software is legitimate. One is that the software is “stateless” and allegedly doesn’t keep information between user requests. To help ensure this, each server/node reboot re-keys and wipes all storage. 9/ Image
A second protection is that the operating system can “attest” to the software image it’s running. Specifically, it signs a hash of the software and shares this with every phone/client. If you trust this infrastructure, you’ll know it’s running a specific piece of software. 10/
Of course, knowing that the phone is running a specific piece of software doesn’t help you if you don’t trust the software. So Apple plans to put each binary image into a “transparency log” and publish the software.

But here’s a sticky point: not with the full source code. 11/ Image
Security researchers will get *some code* and a VM they can use to run the software. They’ll then have to reverse-engineer the binaries to see if they’re doing unexpected things. It’s a little suboptimal. 12/
When your phone wants to outsource a task, it will contact Apple and obtain a list of servers/nodes and their keys. It will then encrypt its request to all servers, and one will process it. They’re even using fancy anonymous credentials and a third part relay to hide your IP. 13/ Image
Ok there are probably half a dozen more technical details in the blog post. It’s a very thoughtful design. Indeed, if you gave an excellent team a huge pile of money and told them to build the best “private” cloud in the world, it would probably look like this. 14/
But now the tough questions. Is it a good idea? And is it as secure as what Apple does today? And most importantly:
I admit that as I learned about this feature, it made me kind of sad. The thought that was going through my head was: this is going to be too much of a temptation. Once you can “safely” outsource tasks to the cloud, why bother doing them locally. Outsource everything!
As best I can tell, Apple does not have explicit plans to announce when your data is going off-device for to Private Compute. You won’t opt into this, you won’t necessarily even be told it’s happening. It will just happen. Magically.

I don’t love that part. 17/
Finally, there are so many invisible sharp edges that could exist in a system like this. Hardware flaws. Issues with the cryptographic attenuation framework. Clever software exploits. Many of these will be hard for security researchers to detect. That worries me too. 18/
Wrapping up on a more positive note: it’s worth keeping in mind that sometimes the perfect is the enemy of the really good.

In practice the alternative to on-device is: ship private data to OpenAI or someplace sketchier, where who knows what might happen to it. 19/
And of course, keep in mind that super-spies aren’t your biggest adversary. For many people your biggest adversary is the company who sold you your device/software. This PCC system represents a real commitment by Apple not to “peek” at your data. That’s a big deal. 20/
In any case, this is the world we’re moving to. Your phone might seem to be in your pocket, but a part of it lives 2,000 miles away in a data center. As security folks we probably need to get used to that fact, and do the best we can to make sure all parts are secure. //fin
Addendum: “cryptographic attenuation” should read “cryptographic attestation”, but I’m sure folks will get the point.

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More from @matthew_d_green

Sep 19
Most of cryptography research is developing a really nice mental model for what’s possible and impossible in the field, so you can avoid wasting time on dead ends. But every now and then someone kicks down a door and blows up that intuition, which is the best kind of result.
One of the most surprising privacy results of the last 5 years is the LMW “doubly efficient PIR” paper. The basic idea is that I can load an item from a public database without the operator seeing which item I’m loading & without it having to touch every item in the DB each time.
Short background: Private Information Retrieval isn’t a new idea. It lets me load items from a (remote) public database without the operator learning what item I’m asking for. But traditionally there’s a *huge* performance hit for doing this.
Read 14 tweets
Sep 12
The new and revived Chat Control regulation is back. It still appears to demand client side scanning in encrypted messengers. But removes “detection of new CSAM” and simply demands detection of known CSAM. However: it retains the option to change this requirement back.
For those who haven’t been paying attention, the EU Council and Commission have been relentlessly pushing a regulation that would break encryption. It died last year, but it’s back again — this time with Hungary in the driver’s seat. And the timelines are short. Image
The goal is to require all apps to scan messages for child sexual abuse content (at first: other types of content have been proposed, and will probably be added later.) This is not possible for encrypted messengers without new technology that may break encryption.
Read 4 tweets
Sep 10
One of the things we need to discuss is that LLMs listening to your conversations and phone calls, reading your texts and emails — this is all going to be normalized and inevitable within seven years.
In a very short timespan it’s going to be expected that your phone can answer questions about what you did or talked about recently, what restaurants you went to. More capability is going to drive more data access, and people will grant it.
I absolutely do believe that (at least initially), vendors will try to do this privately. The models will live on your device or, like Apple Intelligence, they’ll use some kind of secure outsourcing. It’ll be required for adoption.
Read 6 tweets
Aug 26
I hope that the arrest of Pavel Durov does not lead to him or Telegram being held up as some hero of privacy. Telegram has consistently acted to collect huge amounts of unnecessary private data on their servers, and their only measure to protect it was “trust us.”
For years people begged them to roll out even rudimentary default encryption, and they pretty aggressively did not of that. Their response was to move their data centers to various middle eastern countries, and to argue that this made your data safe. Somehow.
Over the years I’ve heard dozens of theories about which nation-states were gaining access to that giant mousetrap full of data they’d built. I have no idea if any of those theories were true. Maybe none were, maybe they all were.
Read 6 tweets
Aug 25
Apropos Pavel Durov’s arrest, I wrote a short post about whether Telegram is an “encrypted messaging app”. blog.cryptographyengineering.com/2024/08/25/tel…
The TL;DR here is that Telegram has an optional end-to-end encryption mode that you have to turn on manually. It only works for individual conversations, not for group chats. This is so relatively annoying to turn on (and invisible to most users) that I doubt many people do.
This on paper isn’t that big a deal, but Telegram’s decision to market itself as a secure messenger means that loads of people (and policymakers) probably assume that lots of its content is end-to-end encrypted. Why wouldn’t you?
Read 5 tweets
Jul 13
If you want to avoid disasters like the AT&T breach, there are basically only three solutions:

1. Don’t store data
2. Don’t store unencrypted data
3. Have security practices like Google

Very few companies can handle (3), certainly not AT&T.
One of the things policymakers refuse to understand is that securing large amounts of customer data, particularly data that needs to be “hot” and continually queried (eg by law enforcement) is just beyond the means of most US companies.
If you’re a policymaker and the your policy requires company X \notin {Apple, Google, Microsoft, Meta}* to store “hot” databases of customer data: congrats, it’s 1941 and you just anchored all the aircraft carriers at Pearl Harbor.

* Frankly I’m being generous with this list.
Read 5 tweets

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