Researchers Build AI That Builds AI
https://www.quantamagazine.org/researche...-20220125/
By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training.
How AI can identify people even in anonymized datasets
https://www.sciencenews.org/article/ai-i...al-network
EXCERPTS: How you interact with a crowd may help you stick out from it, at least to artificial intelligence.
When fed information about a target individual’s mobile phone interactions, as well as their contacts’ interactions, AI can correctly pick the target out of more than 40,000 anonymous mobile phone service subscribers more than half the time, researchers report January 25 in Nature Communications. The findings suggest humans socialize in ways that could be used to pick them out of datasets that are supposedly anonymized.
[...] According to the European Union’s General Data Protection Regulation and the California Consumer Privacy Act, companies that collect information about people’s daily interactions can share or sell this data without users’ consent. The catch is that the data must be anonymized.
Some organizations might assume that they can meet this standard by giving users pseudonyms, says Yves-Alexandre de Montjoye, a computational privacy researcher at Imperial College London. “Our results are showing that this is not true.”
de Montjoye and his colleagues hypothesized that people’s social behavior could be used to pick them out of datasets containing information on anonymous users’ interactions. To test their hypothesis, the researchers... (MORE - missing details)
https://www.quantamagazine.org/researche...-20220125/
By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training.
How AI can identify people even in anonymized datasets
https://www.sciencenews.org/article/ai-i...al-network
EXCERPTS: How you interact with a crowd may help you stick out from it, at least to artificial intelligence.
When fed information about a target individual’s mobile phone interactions, as well as their contacts’ interactions, AI can correctly pick the target out of more than 40,000 anonymous mobile phone service subscribers more than half the time, researchers report January 25 in Nature Communications. The findings suggest humans socialize in ways that could be used to pick them out of datasets that are supposedly anonymized.
[...] According to the European Union’s General Data Protection Regulation and the California Consumer Privacy Act, companies that collect information about people’s daily interactions can share or sell this data without users’ consent. The catch is that the data must be anonymized.
Some organizations might assume that they can meet this standard by giving users pseudonyms, says Yves-Alexandre de Montjoye, a computational privacy researcher at Imperial College London. “Our results are showing that this is not true.”
de Montjoye and his colleagues hypothesized that people’s social behavior could be used to pick them out of datasets containing information on anonymous users’ interactions. To test their hypothesis, the researchers... (MORE - missing details)