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Comments on: The Privacy Problem



Machine learning and learning theory research



Last Build Date: Tue, 17 Oct 2017 19:28:47 +0000

 



By: Machine Learning (Theory) » The Netflix Crack

Thu, 29 Nov 2007 22:41:44 +0000

[...] Overall, this is another example showing that complete privacy is hard. It may be worth remembering that there are some substantial benefits from the Netflix challenge as well—we (as a society) have learned something about how to do collaborative filtering which is useful beyond just recommending movies. [...]



By: Data mining and privacy « Data Strategy

Thu, 30 Aug 2007 22:09:21 +0000

[...] Data mining and privacy Filed under: People and Data, Datamining, Privacy — chucklam @ 4:09 pm John Langford (at Yahoo) has a good post on The Privacy Problem in datamining at his Machine Learning (Theory) blog. The privacy issue is getting a lot of attention in the datamining community lately. In fact, there’s a whole research area on privacy-preserving datamining emerging, although most results to date have tended to demonstrate how hard it is to guarantee privacy. The negative publicity surrounding datamining has prompted KDnuggets (a newsletter for dataminers) to poll its readers whether the term “datamining” has become an inaccurate/misunderstood term to describe what they do, especially given the fact that a lot of datamining don’t deal with data about individuals. [...]



By: svm

Tue, 28 Aug 2007 03:07:49 +0000

Support vector machines (SVM) can support sets of base learners,trained and aggregated using subsets of features randomly drawn from the data. You underestimate machine learning.



By: Mike

Sun, 26 Aug 2007 13:47:32 +0000

Congrats on making it in the top 100 of reddit (currently #57). As you likely already know, the past few KDD conferences had special sections on privacy and data mining. While I you mention only financial transactions and camera feeds, I think a larger issue is ML/DM on medical records. There is a significant concern about privacy, think HIPPA, but there is also significant medical benefit. For example, who wouldn't like to know that a new drug could have a bad reaction with aspirin, or vitamin D? But would you be willing to have someone know ALL of your medical history to make that discovery? I think most people would, if given safeguards over that information. Perhaps the key is that there needs to be clear benefits to the person giving up their privacy.



By: jl

Sun, 26 Aug 2007 12:04:11 +0000

Good find---that's it. I'll add a pointer.



By: Suresh

Sun, 26 Aug 2007 07:29:56 +0000

Maybe this is it ? (http://dcws.stat.cmu.edu/index.html)



By: jl

Sun, 26 Aug 2007 03:08:02 +0000

I don't think so.



By: Suresh

Sun, 26 Aug 2007 01:57:54 +0000

is there a URL for the workshop ?