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Università della Svizzera italiana

Framing national security secrecy : a conceptual review

Heide, Marlen ; Villeneuve, Jean-Patrick

In: International journal, 2021, vol. 76, no. 2, p. 238-256

This essay investigates justifications for the “necessity” of official secrecy, by tracing and structuring the rationales underlying it. Justifications will be investigated through the case of “national security secrecy,” a prominent example of official secrecy. While the literature generally treats “national security secrecy” as unidimensional, this analysis demarcates several...

Università della Svizzera italiana

Block-enhanced precision matrix estimation for large-scale datasets

Eftekhari, Aryan ; Pasadakis, Dimosthenis ; Bollhöfer, Matthias ; Scheidegger, Simon ; Schenk, Olaf

In: Journal of computational science, 2021, vol. 53, p. 13

The ℓ1-regularized Gaussian maximum likelihood method is a common approach for sparse precision matrix estimation, but one that poses a computational challenge for high-dimensional datasets. We present a novel ℓ1- regularized maximum likelihood method for performant large-scale sparse precision matrix estimation utilizing the block structures in the underlying computations. We identify the...

Università della Svizzera italiana

New shape control tools for rational Bézier curve design

Ramanantoanina, Andriamahenina ; Hormann, Kai

In: Computer aided geometric design, 2021, vol. 88, p. 11

Bézier curves are indispensable for geometric modelling and computer graphics. They have numerous favourable properties and provide the user with intuitive tools for editing the shape of a parametric polynomial curve. Even more control and flexibility can be achieved by associating a shape parameter with each control point and considering rational Bézier curves, which comes with the...

Università della Svizzera italiana

Using linear algebra in decomposition of Farkas interpolants

Blicha, Martin ; Hyvärinen, Antti E. J. ; Kofroň, Jan ; Sharygina, Natasha

In: International journal on software tools for technology transfer, 2021, p. 15

The use of propositional logic and systems of linear inequalities over reals is a common means to model software for formal verification. Craig interpolants constitute a central building block in this setting for over-approximating reachable states, e.g. as candidates for inductive loop invariants. Interpolants for a linear system can be efficiently computed from a Simplex refutation by ...

Università della Svizzera italiana

MeMo : automatically identifying metamorphic relations in Javadoc comments for test automation

Blasi, Arianna ; Gorla, Alessandra ; Ernst, Michael D. ; Pezzè, Mauro ; Carzaniga, Antonio

In: Journal of systems and software, 2021, vol. 181, p. 13

Software testing depends on effective oracles. Implicit oracles, such as checks for program crashes, are widely applicable but narrow in scope. Oracles based on formal specifications can reveal applicationspecific failures, but specifications are expensive to obtain and maintain. Metamorphic oracles are somewhere in-between. They test equivalence among different procedures to detect semantic...

Università della Svizzera italiana

Joint desirability foundations of social choice and opinion pooling

Casanova, Arianna ; Miranda, Enrique ; Zaffalon, Marco

In: Annals of Mathematics and Artificial Intelligence, 2021, no. 89, p. 965–1011

We develop joint foundations for the fields of social choice and opinion pooling using coherent sets of desirable gambles, a general uncertainty model that allows to encompass both complete and incomplete preferences. This leads on the one hand to a new perspective of traditional results of social choice (in particular Arrow’s theorem as well as sufficient conditions for the existence of an...

Università della Svizzera italiana

The ABC of Deutsch–Hayden descriptors

Bédard, Charles Alexandre

In: Quantum reports, 2021, vol. 3, no. 2, p. 272-285

It has been more than 20 years since Deutsch and Hayden proved the locality of quantum theory, using the Heisenberg picture of quantum computational networks. Of course, locality holds even in the face of entanglement and Bell’s theorem. Today, most researchers in quantum foundations are still convinced not only that a local description of quantum systems has not yet been provided, but that...

Università della Svizzera italiana

Securing whistleblowing in the digital age : SecureDrop and the changing journalistic practices for source protection

Di Salvo, Philip

In: Digital Journalism, 2021, vol. 9, no. 4, p. 443-460

Information security tools have gained prominence and importance in the journalism field and are now being adopted more frequently by newsrooms and investigative journalists. SecureDrop, an opensource software for operating whistleblowing platforms, is now a common component of the toolboxes of journalists willing to work with stronger levels of security, especially in regard to source...

Università della Svizzera italiana

Inflation bald als Folgeeffekt der COVID-19-Pandemie? = Inflation soon a consequence of the COVID-19 pandemic?

Beretta, Edoardo

In: List Forum für Wirtschafts- und Finanzpolitik, 2021, vol. 46, no. 3, p. 359-377

Obwohl man im Zuge der COVID-19-Pandemie aufgrund des dramatischen Einbruchs aller Wirtschaftsprognosen weltweit bislang von rezessivdeflationären Auswirkungen ausgegangen ist, lassen sich Inflationsrisiken keineswegs ausschließen. Welche Folgeeffekte kann die Kombination aus milliardenhohen Liquiditätsspritzen bei starkem Produktionsrückgang sowie streng einzuhaltenden (und ebenso...

Università della Svizzera italiana

Hard and soft EM in bayesian network learning from incomplete data

Ruggieri, Andrea ; Stranieri, Francesco ; Stella, Fabio ; Scutari, Marco

In: Algorithms, 2020, vol. 13, no. 12, p. 17

Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations. BN parameter learning from incomplete data is usually implemented with the Expectation-Maximisation algorithm (EM), which computes the relevant sufficient statistics (“soft EM”) ...