Efficient Privacy-Preserving Facial Expression Classification
نویسندگان
چکیده
منابع مشابه
Privacy-Preserving Data Stream Classification
In a wide range of applications, multiple data streams need to be examined together in order to discover trends or patterns existing across several data streams. One common practice is to redirect all data streams into a central place for joint analysis. This “centralized” practice is challenged by the fact that data streams often are private in that they come from different owners. In this pap...
متن کاملPreserving Privacy by De-identifying Facial Images
In the context of sharing video surveillance data, a significant threat to privacy is face recognition software, which can automatically identify known people, such as from a database of drivers’ license photos, and thereby track people regardless of suspicion. This paper introduces an algorithm to protect the privacy of individuals in video surveillance data by de-identifying faces such that m...
متن کاملEfficient Privacy-Preserving Biometric Identification
We present an efficient matching protocol that can be used in many privacy-preserving biometric identification systems in the semi-honest setting. Our most general technical contribution is a new backtracking protocol that uses the byproduct of evaluating a garbled circuit to enable efficient oblivious information retrieval. We also present a more efficient protocol for computing the Euclidean ...
متن کاملCommunication-Efficient Privacy-Preserving Clustering
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well as regulations, often prevent the sharing of data between multiple parties. Privacy-preserving distributed data mining allows the cooperative computation of data mining algorithms without requiring the participating o...
متن کاملEfficient Privacy-Preserving Face Recognition
Automatic recognition of human faces is becoming increasingly popular in civilian and law enforcement applications that require reliable recognition of humans. However, the rapid improvement and widespread deployment of this technology raises strong concerns regarding the violation of individuals’ privacy. A typical application scenario for privacy-preserving face recognition concerns a client ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Dependable and Secure Computing
سال: 2015
ISSN: 1545-5971
DOI: 10.1109/tdsc.2015.2453963