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How to generate keys from facial images and keep privacy at the same time (2018) [pdf]
- 1cvmask 6y agoHas IBM built a product around this? I don’t know of one. Or is the research for patent purposes only?
- O81s1iiCHUP9 6y agoHmm... This is old research, which seems to be a recreation of the work of Sutcu et al. among others. I did my masters thesis on this.
- floatingatoll 6y agoLink?
- nullc 6y agoThe minisketch library I worked on can be used for near optimal (in the sense of information leak) error correction for "set like" features: https://github.com/sipa/minisketch/ https://github.com/sipa/minisketch/ Our application is for communications efficient set reconciliation to convert Bitcoin's quadratic-overhead transaction gossip protocol (O(txn*peers)) to effectively linear (O(txn)), though the primary academic work that our work was based on were concerned with fuzzy extractors for privacy preserving (and encryption key generating) biometrics.
- nullc 6y agoFor more info on fuzzy extractors from biometrics see also this great paper (and the linked survey): http://www.cs.bu.edu/~reyzin/fuzzy.html http://www.cs.bu.edu/~reyzin/fuzzy.html
- barbegal 6y agoI feel like the ability for this method to work well depends on the methodology of taking the enrollment and the subsequent key-generation images. If you take them using the same poses, with the same camera and lighting within a few hours of each other then this method will work extremely well [1]. I really doubt it generalizes to the case of using it with a laptop webcam in any location with different lighting. But maybe I am wrong, maybe there are enough bits of information in a randomly lit image of a face. [1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2898524/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2898524/
- WorldPeas 6y agoSomeone at the University of Haifa has a sense of humor