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this post was submitted on 28 Sep 2023
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This is the best summary I could come up with:
The researchers found that data compression that both internal and discrete GPUs use to improve performance acts as a side channel that they can abuse to bypass the restriction and steal pixels one by one.
“We found that modern GPUs automatically try to compress this visual data, without any application involvement,” Yingchen Wang, the lead author and a researcher at the University of Texas at Austin, wrote in an email.
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All of the GPUs analyzed use proprietary forms of compression to optimize the bandwidth available in the memory data bus of the PC, phone, or other device displaying the targeted content.
The insights yielded a method that uses the SVG, or the scalable vector graphics image format, to maximize differences in DRAM traffic between black and white target pixels in the presence of compression.
Our proof-of-concept attack succeeds on a range of devices (including computers, phones) from a variety of hardware vendors with distinct GPU architectures (Intel, AMD, Apple, Nvidia).
The original article contains 832 words, the summary contains 181 words. Saved 78%. I'm a bot and I'm open source!
And it left out possibly the most important piece of information:
Once again, this is another example of how poor these TLDR bots are. I asked a popular LLM (which people here love to hate) to summarize the article, and not only did I get an actual TLDR (< 150 words), it also included the most important piece of information:
It's because many TLDR bots are using relatively basic algorithms to summarize versus incredibly complex language models that have been trained on billions of data points. No rational person would disagree with you that ChatGPT/LLaMA/etc are vastly more sophisticated and often more effective than a common bot.
I've been toying with the idea of making a bot similar to autotldr, but using an llm to summarize the data for some time now.