2,543 research outputs found
Monomial Hopf Algebras
Let be a field of characteristic 0 containing all roots of unity. We
classify all the Hopf structures on monomial -coalgebras, or, in dual
version, on monomial -algebras.Comment: 24 page
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
Despite the great achievements of the modern deep neural networks (DNNs), the
vulnerability/robustness of state-of-the-art DNNs raises security concerns in
many application domains requiring high reliability. Various adversarial
attacks are proposed to sabotage the learning performance of DNN models. Among
those, the black-box adversarial attack methods have received special
attentions owing to their practicality and simplicity. Black-box attacks
usually prefer less queries in order to maintain stealthy and low costs.
However, most of the current black-box attack methods adopt the first-order
gradient descent method, which may come with certain deficiencies such as
relatively slow convergence and high sensitivity to hyper-parameter settings.
In this paper, we propose a zeroth-order natural gradient descent (ZO-NGD)
method to design the adversarial attacks, which incorporates the zeroth-order
gradient estimation technique catering to the black-box attack scenario and the
second-order natural gradient descent to achieve higher query efficiency. The
empirical evaluations on image classification datasets demonstrate that ZO-NGD
can obtain significantly lower model query complexities compared with
state-of-the-art attack methods.Comment: accepted by AAAI 202
Influence of Molecular Organization on the Electrical Characteristics of {\pi}-conjugated Self-assembled Monolayers
Two new thiol compounds with {\sigma}-{\pi}-{\sigma} structure were
synthesized and self-assembled on gold substrates. The morphology and the
structural characterization of SAMs assessed by infrared spectroscopy, contact
angle, XPS, electrochemistry and scanning tunneling microscopy (STM) show the
formation of monolayers. SAMs with a terthiophene (3TSH) core as conjugated
system are much better organized compared to those with a naphthalene
carbodiimide (NaphSH) core as demonstrated by the cyclic voltammetry and STM
studies. The surface concentration of 3TSH and NaphSH is respectively three and
six times lower than ordered SAMs of pure alkyl chains. A large number of I/V
characteristics have been studied either by STS measurements on gold substrates
or by C-AFM on gold nanodots. Transition Voltage Spectroscopy (TVS) was used to
clearly identify the transport in these partially organized monolayers. The
chemical nature of the conjugated system, donor for 3TSH and acceptor for
NaphSH, involves an opposite rectification associated to the asymmetrical
coupling of the molecular orbitals and the electrodes. The conductance
histograms show that the 3TSH junctions are less dispersed than those of NaphSH
junctions. This is explained by a better control of the molecular organization
in the molecular junctions.Comment: Full paper with supporting informatio
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
Robust machine learning is currently one of the most prominent topics which
could potentially help shaping a future of advanced AI platforms that not only
perform well in average cases but also in worst cases or adverse situations.
Despite the long-term vision, however, existing studies on black-box
adversarial attacks are still restricted to very specific settings of threat
models (e.g., single distortion metric and restrictive assumption on target
model's feedback to queries) and/or suffer from prohibitively high query
complexity. To push for further advances in this field, we introduce a general
framework based on an operator splitting method, the alternating direction
method of multipliers (ADMM) to devise efficient, robust black-box attacks that
work with various distortion metrics and feedback settings without incurring
high query complexity. Due to the black-box nature of the threat model, the
proposed ADMM solution framework is integrated with zeroth-order (ZO)
optimization and Bayesian optimization (BO), and thus is applicable to the
gradient-free regime. This results in two new black-box adversarial attack
generation methods, ZO-ADMM and BO-ADMM. Our empirical evaluations on image
classification datasets show that our proposed approaches have much lower
function query complexities compared to state-of-the-art attack methods, but
achieve very competitive attack success rates.Comment: accepted by ICCV 201
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