Exploiting Uses of Uninitialized Stack Variables in Linux Kernels to Leak Kernel Pointers.
Haehyun ChoJinbum ParkJoonwon KangTiffany BaoRuoyu WangYan ShoshitaishviliAdam DoupéGail-Joon AhnPublished in: WOOT @ USENIX Security Symposium (2020)
Keyphrases
- kernel function
- kernel methods
- support vector
- multiple kernel learning
- kernel learning
- polynomial kernels
- feature space
- multiple kernel
- reproducing kernel hilbert space
- operating system
- positive definite
- string kernels
- gaussian kernels
- kernel machines
- kernel matrices
- gaussian kernel
- graph kernels
- gaussian processes
- convolution kernel
- gram matrix
- support vector machine
- kernel trick
- rbf kernel
- dot product
- machine learning
- open source
- variable selection
- translation invariant
- kernel ridge regression
- optimal kernel
- random variables
- positive semidefinite
- kernel parameters
- svm classification
- input space
- representer theorem
- gaussian process
- tree kernels
- linear combination
- kernel matrix
- kernel pca
- histogram intersection
- kernel fisher discriminant analysis
- histogram intersection kernel
- fisher kernel
- file system
- radial basis function
- feature selection