News
MIT’s “PhotoGuard” Protects Images From Unauthorized AI Edits
The technology invisibly alters select pixels to throw off algorithmic AI models.
As AI continues to develop rapidly, chatbots are gaining the power to create and manipulate images, with Shutterstock and Adobe currently leading the way. Despite the obvious power of AI algorithms, the technology has a few pitfalls, one of which is the unauthorized manipulation of copyrighted artwork and images.
MIT CSAIL thinks it has the answer to this growing problem in the form of PhotoGuard, a new technique that alters select pixels in an image to disrupt AI’s ability to understand what the image is.
The altered pixels are known as “perturbations” and are invisible to the human eye but easily seen by AI bots as they scan the color and position of every pixel in an image. Any edits AI tries to make to a protected image will also apply to the fake pixels, resulting in an unrealistic or broken final image, thanks to PhotoGuard.
Also Read: PicSo Review: A Popular AI-Based Text-To-Image App
“The encoder attack makes the model think that the input image is some other image,” explained MIT student and lead author of the paper, Hadi Salman. “Whereas the diffusion attack forces the diffusion model to make edits towards some target image”. The technique sounds complex but could potentially stop malicious actors from reverse engineering protected images by adding minor edits to circumvent copyright.
“A collaborative approach involving model developers, social media platforms, and policymakers presents a robust defense against unauthorized image manipulation. Working on this pressing issue is of paramount importance today,” Salman said in a recent press release. “And while I am glad to contribute towards this solution, much work is needed to make this protection practical. Companies that develop these models need to invest in engineering robust immunizations against the possible threats posed by these AI tools”.
News
At I/O 2026, Sundar Pichai Concedes AI Must Deliver Real Value
Gemini 3.5, a personal agent called Spark, agentic shopping, and Android XR eyewear are all aimed at making AI feel useful, not just impressive.
Google’s annual I/O developer conference (I/O 2026) has recently become a status update on the same question: can the company turn its AI spending into products people use every day? This year, chief executive Sundar Pichai described Google as being in a phase of hyper progress, while conceding this is the part of the cycle where people want to see real value in the products they use on a day-to-day basis.
The strategy on display was to push agents — AI systems that act on a user’s behalf — into nearly every Google product at once. Search now has an “intelligent search box” that returns generated explainer videos alongside links. Gmail, Docs, YouTube and Maps are gaining their own agent layers, including a Docs Live feature that turns spoken instructions into drafted text with citations.
Two new models, Gemini 3.5 and a cheaper Gemini 3.5 Flash, arrived the same day. Google says 900 million people now use Gemini, and that more than 50 billion images have been generated with it. The pricing tier names are likely to confuse buyers: a new AI Ultra plan launches at $100 a month, while the older Gemini AI Ultra drops from $250 to $200.
The flashier announcements were Gemini Omni, a video generator pitched as a more realistic answer to OpenAI’s discontinued Sora 2, and Gemini Spark, a personal agent that handles recurring tasks across a user’s Google account. A new universal shopping cart lets agents complete purchases across multiple retailers from inside Google itself, placing the company between the merchant and the buyer, and also owning the checkout.
Also Read: DJI Teases Dual-Camera Osmo Pocket 4P For 2026 Launch
Google also confirmed its Android XR eyewear, built with Samsung and frames from Warby Parker and Gentle Monster. Audio-only glasses ship this autumn; a display-equipped version, which would superimpose live translations into the wearer’s field of view, is still in development. Both sets translate, however only the display version shows you the result.
What Pichai did not resolve is the bargain underneath all this. An agent is only useful to the degree it knows your calendar, your inbox, your shopping history and your physical surroundings. Google has now confirmed that, in time, the same context may carry advertising.
