Results 11 to 20 of about 1,349,866 (407)
Information Leakage Games [PDF]
We consider a game-theoretic setting to model the interplay between attacker and defender in the context of information flow, and to reason about their optimal strategies.
A Matsui+19 more
core +5 more sources
Universal Leakage Elimination [PDF]
``Leakage'' errors are particularly serious errors which couple states within a code subspace to states outside of that subspace thus destroying the error protection benefit afforded by an encoded state.
A. Bohm+12 more
core +3 more sources
The probability leakage of model M with respect to evidence E is defined. Probability leakage is a kind of model error. It occurs when M implies that events $y$, which are impossible given E, have positive probability. Leakage does not imply model falsification. Models with probability leakage cannot be calibrated empirically.
arxiv +3 more sources
We study the role of information complexity in privacy leakage about an attribute of an adversary's interest, which is not known a priori to the system designer. Considering the supervised representation learning setup and using neural networks to parameterize the variational bounds of information quantities, we study the impact of the following ...
Atashin A. A.+3 more
openaire +4 more sources
Leakage and leakage sensitivity computation for combinational circuits [PDF]
Leakage power is emerging as a new critical challenge in the design of high performance integrated circuits. Leakage is increasing dramatically with each technology generation and is expected to dominate system power. This paper describes a static (i.e input independent) technique for efficient and accurate leakage estimation. A probabilistic technique
Rahul M. Rao+6 more
openaire +3 more sources
We build a simple analytical general equilibrium model and linearize it, to find a closed-from expression for the effect of a small change in carbon tax on leakage - the increase in emissions elsewhere. The model has two goods produced in two sectors or regions.
Don Fullerton, Dan Karney, Kathy Baylis
openaire +3 more sources
Survey: Leakage and Privacy at Inference Time [PDF]
Leakage of data from publicly available Machine Learning (ML) models is an area of growing significance since commercial and government applications of ML can draw on multiple sources of data, potentially including users’ and clients’ sensitive data.
Marija Jegorova+6 more
semanticscholar +1 more source
Quantifying and reducing leakage errors in the JPL RL05M GRACE mascon solution
David N Wiese+2 more
exaly +2 more sources
Information Leakage in Embedding Models [PDF]
Embeddings are functions that map raw input data to low-dimensional vector representations, while preserving important semantic information about the inputs.
Congzheng Song, A. Raghunathan
semanticscholar +1 more source
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning [PDF]
Deep Learning has recently become hugely popular in machine learning for its ability to solve end-to-end learning systems, in which the features and the classifiers are learned simultaneously, providing significant improvements in classification accuracy
B. Hitaj, G. Ateniese, F. Pérez-Cruz
semanticscholar +1 more source