2,343 research outputs found
The Optimal Mechanism in Differential Privacy
We derive the optimal -differentially private mechanism for single
real-valued query function under a very general utility-maximization (or
cost-minimization) framework. The class of noise probability distributions in
the optimal mechanism has {\em staircase-shaped} probability density functions
which are symmetric (around the origin), monotonically decreasing and
geometrically decaying. The staircase mechanism can be viewed as a {\em
geometric mixture of uniform probability distributions}, providing a simple
algorithmic description for the mechanism. Furthermore, the staircase mechanism
naturally generalizes to discrete query output settings as well as more
abstract settings. We explicitly derive the optimal noise probability
distributions with minimum expectation of noise amplitude and power. Comparing
the optimal performances with those of the Laplacian mechanism, we show that in
the high privacy regime ( is small), Laplacian mechanism is
asymptotically optimal as ; in the low privacy regime
( is large), the minimum expectation of noise amplitude and minimum
noise power are and as , while the expectation of
noise amplitude and power using the Laplacian mechanism are
and , where is
the sensitivity of the query function. We conclude that the gains are more
pronounced in the low privacy regime.Comment: 40 pages, 5 figures. Part of this work was presented in DIMACS
Workshop on Recent Work on Differential Privacy across Computer Science,
October 24 - 26, 201
Phase Compensation Enhancement of Photon Pair Entanglement Generated from Biexciton Decays in Quantum Dots
Exciton fine-structure splittings within quantum dots introduce phase
differences between the two biexciton decay paths that greatly reduce the
entanglement of photon pairs generated via biexciton recombination. We analyze
this problem in the frequency domain and propose a practicable method to
compensate the phase difference by inserting a spatial light modulator, which
substantially improves the entanglement of the photon pairs without any loss.Comment: 4 pages, 3 figure
Human B-cell Ontogeny in Humanized NOD/SCID γc Mice Generates a Diverse Yet Auto/Poly- and HIV-1 Reactive Antibody Repertoire
Characterization of the human antibody (Ab) repertoire in mouse models of the human immune system is essential to establish their relevance in translational studies. Single human B-cells were sorted from bone marrow and periphery of humanized NOD/SCID γc mice at 8–10 months post-engraftment with human cord blood-derived CD34 stem cells. Human immunoglobulin variable heavy (V) and kappa (V) genes were amplified, cognate V-V gene-pairs assembled as single-chain variable fragment-Fc antibodies (scFvFcs) and functional studies performed. Although overall distribution of V genes approximated the normal human Ab repertoire, analysis of the V-third complementarity determining regions (H-CDR3) in the mature B-cell subset demonstrated an increase in length and positive charges suggesting autoimmune characteristics. Additionally, >70% of Vκ sequences utilized V4-1, a germline gene associated with autoimmunity. The mature B-cell subset-derived scFvFcs displayed the highest frequency of autoreactivity and polyspecificity, suggesting defects in checkpoint control mechanisms. Furthermore, these scFvFcs demonstrated binding to recombinant HIV envelope corroborating previous observations of poly/autoreactivity in anti-HIVgp140 antibodies. These data lend support to the hypothesis that anti-HIV BnAbs may be derived from auto/polyspecific Abs that escaped immune elimination and that the hNSG mouse could provide a new experimental platform for studying the origin of anti-HIV neutralizing Ab responses
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