26,098 papers · page 391 of 1,305
Amir M. Ben-Amram, Jesús J. Doménech, Samir Genaim
Multiphase ranking functions (M$\Phi$RFs) are tuples $\langle f_1,\ldots,f_d \rangle$ of linear functions that are often used to prove termination of loops in which the computation progresses through a number of "phases". Our work provides new insights regarding such functions fo…
Marco Campion, Mila Dalla Preda, Roberto Giacobazzi
Abstract elided by the publisher.
Patrick Cousot
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Patrick Cousot
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David Delmas, Antoine Miné
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Chaoqiang Deng, Patrick Cousot
Given a behavior of interest in the program, statically determining the corresponding responsible entity is a task of critical importance, especially in program security. Classical static analysis techniques (e.g. dependency analysis, taint analysis, slicing, etc.) assist program…
Nathanaël Fijalkow, Engel Lefaucheux, Pierre Ohlmann, Joël Ouaknine, Amaury Pouly, James Worrell
Abstract elided by the publisher.
Pierre Ganty, Francesco Ranzato, Pedro Valero
We study the language inclusion problem \(L_1 \subseteq L_2\) where \(L_1\) is regular. Our approach relies on abstract interpretation and checks whether an overapproximating abstraction of \(L_1\), obtained by successively overapproximating the Kleene iterates of its least fixpo…
Qinheping Hu, Roopsha Samanta, Rishabh Singh, Loris D'Antoni
Abstract elided by the publisher.
Yuxiang Lei, Yulei Sui
Abstract elided by the publisher.
Jianlin Li, Jiangchao Liu, Pengfei Yang, Liqian Chen, Xiaowei Huang, Lijun Zhang
Deep neural networks (DNNs) have been shown lack of robustness for the vulnerability of their classification to small perturbations on the inputs. This has led to safety concerns of applying DNNs to safety-critical domains. Several verification approaches have been developed to a…
Mayur Naik
Abstract elided by the publisher.
Daniel Neider, Shambwaditya Saha, Pranav Garg, P. Madhusudan
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Yuya Okuyama, Takeshi Tsukada, Naoki Kobayashi
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Francesco Ranzato, Marco Zanella
We study the problem of formally verifying the robustness to adversarial examples of support vector machines (SVMs), a major machine learning model for classification and regression tasks. Following a recent stream of works on formal robustness verification of (deep) neural netwo…
Caterina Urban
Abstract elided by the publisher.
Marcus Völker, Stefan Kowalewski
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Hua Yan, Shiping Chen, Yulei Sui, Yueqian Zhang, Changwei Zou, Jingling Xue
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Banghu Yin, Liqian Chen, Jiangchao Liu, Ji Wang, Patrick Cousot
Abstract elided by the publisher.
Hang Yu, David Monniaux
Polyhedral projection is a main operation of the polyhedron abstract domain. It can be computed via parametric linear programming (PLP), which is more efficient than the classic Fourier-Motzkin elimination method.