Machine learning systems are everywhere. Computer software in these machines predicts the weather, forecasts earthquakes, provides recommendations based on the books and movies we like and, even, applies the brakes on our cars when we are not paying attention.
To do this, computer systems are programmed to find predictive relationships calculated from the massive amounts of data we supply to them. Machine learning systems use advanced algorithms — a set of rules for solving math problems — to identify these predictive relationships using “training data.” This data is then used to construct the models and features within a system that enables it to correctly predict your desire to read the latest best-seller, or the likelihood of rain next week.
This intricate learning process means that a piece of raw data often goes through a series of computations in a given system. The data, computations and information derived by the system from that data together form a complex propagation network called the data’s “lineage.” The term was coined by researchers Yinzhi Cao of Lehigh University and Junfeng Yang of Columbia University who are pioneering a novel approach toward making such learning systems forget.
Considering how important this concept is to increasing security and protecting privacy, Cao and Yang believe that easy adoption of forgetting systems will be increasingly in demand. The pair has developed a way to do it faster and more effectively than what is currently available.
Their concept, called “machine unlearning,” is so promising that the duo have been awarded a four-year, $1.2 million National Science Foundation grant — split between Lehigh and Columbia — to develop the approach.
“Effective forgetting systems must be able to let users specify the data to forget with different levels of granularity,” said Yinzhi Cao, Assistant Professor of Computer Science and Engineering at Lehigh University’s P.C. Rossin College of Engineering & Applied Science and a Principal Investigator on the project. “These systems must remove the data and undo its effects so that all future operations run as if the data never existed.”
There are a number of reasons why an individual user or service provider might want a system to forget data and its complete lineage. Privacy is one.
After Facebook changed its privacy policy, many users deleted their accounts and the associated data. The iCloud photo hacking incident in 2014 — in which hundreds of celebrities’ private photos were accessed via Apple’s cloud services suite — led to online articles teaching users how to completely delete iOS photos including the backups. New research has revealed that machine learning models for personalized medicine dosing leak patients’ genetic markers. Only a small set of statistics on genetics and diseases are enough for hackers to identify specific individuals, despite cloaking mechanism.
Naturally, users unhappy with these newfound risks want their data and its influence on the models and statistics to be completely forgotten.
Security is another reason.
Learn more: Machine ‘Unlearning’ Technique Wipes Out Unwanted Data Quickly and Completely
The Latest on: Machine unlearning
[google_news title=”” keyword=”machine unlearning” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]
via Google News
The Latest on: Machine unlearning
- The Best Nespresso Machineon April 15, 2024 at 5:10 pm
Enter the Nespresso machine. Although Nespresso machines can’t replicate the syrupy body or range of complexity achieved at your favorite cafe, they can mimic the intensity of a good espresso ...
- Best Matching Washer & Dryer Setson April 14, 2024 at 5:00 pm
You could play matchmaker when shopping for new laundry machines, but it’s hard to know whether Washer A and Dryer B are a match made in heaven. That’s why manufacturers market appliances in ...
- Best washing machines in 2024on April 11, 2024 at 7:08 am
One of the best washing machines can make laundry day a breeze. Performance really can vary between these appliances — and not just in terms of stain removal. Some provide a more efficient rinse ...
- Best Rowing Machines for 2024on April 9, 2024 at 2:01 pm
As with so many other products at CNET, we test rowing machines as thoroughly as possible, through rigorous examination and comparison. Each rowing machine in our list has been through at least ...
- Best Nespresso machine 2024: all the top models comparedon April 9, 2024 at 7:38 am
The best Nespresso machines provide the ultimate quality of coffee when it comes to capsules. While capsule machines often have a bad rep, Nespresso stands out from the crowd for its espresso.
- The best cheap Nespresso machine sales, prices and deals for April 2024on April 8, 2024 at 5:00 pm
Cheap Nespresso deals are pretty easy to find right now. The pod-based machines are almost always on offer in one way or another, especially during holiday sale events. With more affordable models ...
- Best Rowing Machines of 2024on April 1, 2024 at 5:00 pm
100% of the fees we collect are used to support our nonprofit mission. Learn more. When testing rowing machines, Consumer Reports recruited five men and five women—not just to give each a full ...
- Feel the burn from home with this magnetic rowing machine, now only $190on March 30, 2024 at 7:00 am
TL;DR: If you can’t get to the gym, get your workout in at home with this magnetic rowing machine, now just $189.99, just over half off its regular price of $399! As the days grow longer and the ...
- AI Can Now Forget Copyrighted and Other Materialon March 26, 2024 at 9:57 am
Researchers at The University of Texas at Austin have developed what they believe is the first machine unlearning method applied to image-based generative AI. This method offers the ability to look ...
- The 3 Best Espresso Machines of 2024on March 25, 2024 at 2:00 am
An espresso machine is a good way to ensure you get the taste of your coffee right every time, right at home. The experience is miles ahead of your instant coffee. Pair it with a milk frother ...
via Bing News