Urgent.News

What's breaking now, across thousands of outlets.

Tech

Daydream uses Apple Intelligence to turn iPhone outfit photos into shopping lists

Daydream, a fashion discovery app, is using Apple Intelligence to make it easier for iPhone users to shop for outfits read more Daydream uses Apple Intelligence to turn iPhone outfit photos into shopping lists

Daydream uses Apple Intelligence to turn iPhone outfit photos into shopping lists

Apple has revealed the inner workings of the iPhone 18 Pro's innovative Reference Image camera mode in a detailed new post on its Security Research blog. The company's new photographic authenticity system, unveiled in a blog post titled "Apple Reference Image: A New Approach for Verified Photography," aims to address the growing threat of synthetic or edited images. While existing industry standards like C2PA offer some protection, Apple believes its system provides a higher level of security and privacy.

Apple's approach relies on a secure digital negative, which stores raw pixel data along with signed metadata, timestamps, and other crucial information. This negative is created within Apple's Private Cloud Compute structure, ensuring that the process remains private and verifiable. The system's three core requirements are semantic authenticity, resilience to compromise, and privacy preservation.

The process begins during the iPhone's manufacturing, when the camera sensor generates a unique signing key pair. The private key remains within the sensor, while the public verification key is shared with the factory recording station, which signs the sensor with a factory certificate and records it in the device's hardware manifest. This signed key is then used to authenticate every photo taken in Reference Image mode, linking the pixel data and sensor metadata to the specific sensor.

To further secure the process, Apple employs cryptographic timestamps. Instead of relying on the device's general operating system, which could be compromised, the iPhone receives a secure timestamp token periodically. After capturing an image, the device requests another timestamp to establish an upper bound. This allows Apple to verify that the image was taken within a specific time window.

The Secure Enclave also contributes by signing metadata outside the camera sensor, which is then verified by Private Cloud Compute. This ensures that the sensor, Secure Enclave, and device belong to the same iPhone, and that the timestamps are accurate before the secure digital negative is processed into the final JPEG Reference Image. The final image is then signed using a combination of traditional and post-quantum cryptography, designed to remain verifiable even against future quantum attacks.

One notable aspect of the system is Apple's commitment to preserving user privacy. The framework is designed so that an outside observer cannot determine the identity of the photographer, the device that took a given photo, or whether the same device captured multiple Reference Images. This is particularly valuable for photographers working in sensitive environments, such as conflict zones, where maintaining anonymity is crucial.

Written by urgent.news from 9to5Mac's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

This story

This is one outlet's version. Read the fullest account.

Read the original at businessday.ng →

More in Tech

We scheduled a question for an hour when nobody could answer it

The run was fully unattended. That was the point. Everything upstream of the final step had been automated for weeks, and the last remaining human touch was an approval — a request sent out, a wait, a…

  • Automated question pipeline experienced unexpected timeout glitch
  • Log entry provided no differentiation between rejection types
  • Gate assumed human presence without monitoring availability

I expected hexagonal architecture to help my coding agent. It didn't.

I am a principal engineer, and I started this experiment trying to defend something I have believed for years: invest in a good structure now, and later changes should get easier.

  • Hexagonal architecture implementation was 38% slower than flat version.
  • Flat version reached acceptance faster despite architectural investment.
  • Experiment questioned architectural habits and benefits of clean code.

Smart Contract Vulnerability Surface Analysis: Bitfinex

Smart Contract Vulnerability Surface Analysis: Bitfinex Target Protocol : Bitfinex (TVL: $18684.6M) Smart Contract Vulnerability Surface Analysis – Bitfinex Protocol: Bitfinex (TVL: $18.68 B on…

  • Bitfinex ecosystem runs on Ethereum mainnet and Layer 2 chains
  • Four high-severity access control and governance issues found
  • Immediate action needed to address critical design choices

More from Tuesday 15 September →