240 research outputs found
On Robustness of Deep Neural Networks: A Comprehensive Study on the Effect of Architecture and Weight Initialization to Susceptibility and Transferability of Adversarial Attacks
Neural network models have shown state of the art performance inseveral applications. However it has been observed that they aresusceptible to adversarial attacks: small perturbations to the inputthat fool a network model into mislabelling the input data. Theseattacks can also transfer from one network model to another, whichraises concerns over their applicability, particularly when there areprivacy and security risks involved. In this work, we conduct a studyto analyze the effect of network architectures and weight initial-ization on the robustness of individual network models as well astransferability of adversarial attacks. Experimental results demon-strate that while weight initialization has no affect on the robustnessof a network model, it does have an affect on attack transferabilityto a network model. Results also show that the complexity of anetwork model as indicated by the total number of parameters andMAC number is not indicative of a network’s robustness to attackor transferability, but accuracy can be; within the same architec-ture, higher accuracy usually indicates a more robust network, butacross architectures there is no strong link between accuracy androbustness
Growth, catalysis and faceting of -GaO and -(InGa)O on -plane -AlO by molecular beam epitaxy
The growth of -GaO and -(InGa)O
on -plane -AlO(100) by molecular beam epitaxy (MBE)
and metal-oxide-catalyzed epitaxy (MOCATAXY) is investigated. By systematically
exploring the parameter space accessed by MBE and MOCATAXY, phase-pure
-GaO(100) and
-(InGa)O(100) thin films are realized. The
presence of In on the -GaO growth surface remarkably expands
its growth window far into the metal-rich flux regime and to higher growth
temperatures. With increasing O-to-Ga flux ratio (), In
incorporates into -(InGa)O up to .
Upon a critical thickness, -(InGa)O nucleates and
subsequently heteroepitaxially grows on top of
-(InGa)O facets. Metal-rich MOCATAXY growth
conditions, where -GaO would not conventionally stabilize, lead
to single-crystalline -GaO with negligible In incorporation and
improved surface morphology. Higher further results in
single-crystalline -GaO with well-defined terraces and step
edges at their surfaces. For , In acts as a surfactant
on the -GaO growth surface by favoring step edges, while for
, In incorporates and leads to a-plane
-(InGa)O faceting and the subsequent (01)
-(InGa)O growth on top. Thin film analysis by STEM
reveals highly crystalline -GaO layers and interfaces. We
provide a phase diagram to guide the MBE and MOCATAXY growth of
single-crystalline -GaO on -AlO(100)
Influence of Polymorphism on the Electronic Structure of Ga2O3
The search for new wide band gap materials is intensifying to satisfy the
need for more advanced and energy efficient power electronic devices.
GaO has emerged as an alternative to SiC and GaN, sparking a renewed
interest in its fundamental properties beyond the main -phase. Here,
three polymorphs of GaO, , and , are
investigated using X-ray diffraction, X-ray photoelectron and absorption
spectroscopy, and ab initio theoretical approaches to gain insights into their
structure - electronic structure relationships. Valence and conduction
electronic structure as well as semi-core and core states are probed, providing
a complete picture of the influence of local coordination environments on the
electronic structure. State-of-the-art electronic structure theory, including
all-electron density functional theory and many-body perturbation theory,
provide detailed understanding of the spectroscopic results. The calculated
spectra provide very accurate descriptions of all experimental spectra and
additionally illuminate the origin of observed spectral features. This work
provides a strong basis for the exploration of the GaO polymorphs as
materials at the heart of future electronic device generations.Comment: Updated manuscript version after peer revie
Book Reviews
With the observation of high-energy astrophysical neutrinos by the IceCube Neutrino Observatory, interest has risen in models of PeV-mass decaying dark matter particles to explain the observed flux. We present two dedicated experimental analyses to test this hypothesis. One analysis uses 6 years of IceCube data focusing on muon neutrino ‘track’ events from the Northern Hemisphere, while the second analysis uses 2 years of ‘cascade’ events from the full sky. Known background components and the hypothetical flux from unstable dark matter are fitted to the experimental data. Since no significant excess is observed in either analysis, lower limits on the lifetime of dark matter particles are derived: we obtain the strongest constraint to date, excluding lifetimes shorter than s at 90% CL for dark matter masses above 10 TeV
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