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检索条件"任意字段=26th International Conference on Principles and Practice of Constraint Programming, CP 2020"

共 51 条记录，以下是41-50 订阅

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constraint-Based Software Diversification for Efficient Mitigation of Code-Reuse Attacks 26th

Constraint-Based Software Diversification for Efficient Miti...

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26th international conference on principles and practice of constraint programming, cp 2020

作者： Tsoupidi, Rodothea Myrsini Castañeda Lozano, Roberto Baudry, Benoit KTH Royal Institute of Technology Stockholm Sweden University of Edinburgh Edinburgh United Kingdom

ISBN: (纸本)9783030584740

Modern software deployment process produces software that is uniform, and hence vulnerable to large-scale code-reuse attacks. Compiler-based diversification improves the resilience and security of software systems by automatically generating different assembly code versions of a given program. Existing techniques are efficient but do not have a precise control over the quality of the generated code variants. this paper introduces Diversity by Construction (DivCon), a constraint-based compiler approach to software diversification. Unlike previous approaches, DivCon allows users to control and adjust the conflicting goals of diversity and code quality. A key enabler is the use of Large Neighborhood Search (LNS) to generate highly diverse assembly code efficiently. Experiments using two popular compiler benchmark suites confirm that there is a trade-off between quality of each assembly code version and diversity of the entire pool of versions. Our results show that DivCon allows users to trade between these two properties by generating diverse assembly code for a range of quality bounds. In particular, the experiments show that DivCon is able to mitigate code-reuse attacks effectively while delivering near-optimal code (optimality gap). For constraint programming researchers and practitioners, this paper demonstrates that LNS is a valuable technique for finding diverse solutions. For security researchers and software engineers, DivCon extends the scope of compiler-based diversification to performance-critical and resource-constrained applications. © 2020, Springer Nature Switzerland AG.

关键词： Embedded systems

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Understanding How People Approach constraint Modelling and Solving 28

Understanding How People Approach Constraint Modelling and S...

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28th international conference on principles and practice of constraint programming, cp 2022

作者： Hoffmann, Ruth Zhu, Xu Akgün, Özgür Nacenta, Miguel A. School of Computer Science University of St Andrews United Kingdom Department of Computer Science University of Victoria Canada

ISBN: (纸本)9783959772402

Research in constraint programming typically focuses on problem solving efficiency. However, the way users conceptualise problems and communicate with constraint programming tools is often sidelined. How humans think about constraint problems can be important for the development of efficient tools that are useful to a broader audience. For example, a system incorporating knowledge on how people think about constraint problems can provide explanations to users and improve the communication between the human and the solver. We present an initial step towards a better understanding of the human side of the constraint solving process. To our knowledge, this is the first human-centred study addressing how people approach constraint modelling and solving. We observed three sets of ten users each (constraint programmers, computer scientists and non-computer scientists) and analysed how they find solutions for well-known constraint problems. We found regularities offering clues about how to design systems that are more intelligible to humans. © Ruth Hoffmann, Xu Zhu, Özgür Akgün, and Miguel A. Nacenta.

关键词： constraint theory

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On Redundancy in constraint Satisfaction Problems 28

On Redundancy in Constraint Satisfaction Problems

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28th international conference on principles and practice of constraint programming, cp 2022

作者： Carbonnel, Clément CNRS LIRMM University of Montpellier France

ISBN: (纸本)9783959772402

A constraint language Γ has non-redundancy f(n) if every instance of CSP(Γ) with n variables contains at most f(n) non-redundant constraints. If Γ has maximum arity r then it has non-redundancy O(nr), but there are notable examples for which this upper bound is far from the best possible. In general, the non-redundancy of constraint languages is poorly understood and little is known beyond the trivial bounds Ω(n) and O(nr). In this paper, we introduce an elementary algebraic framework dedicated to the analysis of the non-redundancy of constraint languages. this framework relates redundancy-preserving reductions between constraint languages to closure operators known as pattern partial polymorphisms, which can be interpreted as generic mechanisms to generate redundant constraints in CSP instances. We illustrate the power of this framework by deriving a simple characterisation of all languages of arity r having non-redundancy Θ(nr). © Clément Carbonnel.

关键词： Redundancy

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Sweep as a generic pruning technique applied to the non-overlapping rectangles constraint 7

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7th international conference on principles and practice of constraint programming, cp 2001

作者： Beldiceanu, Nicolas Carlsson, Mats SICS Lägerhyddsv. 18 UppsalaSE-752 37 Sweden

ISBN: (纸本)3540428631

We first present a generic pruning technique which aggregates several constraints sharing some variables. the method is derived from an idea called sweep which is extensively used in computational geometry. A first benefit of this technique comes from the fact that it can be applied to several families of global constraints. A second advantage is that it does not lead to any memory consumption problem since it only requires temporary memory which can be reclaimed after each invocation of the method. We then specialize this technique to the non-overlapping rectangles constraint, describe several optimizations, and give an empirical evaluation based on six sets of test instances with different characteristics. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Computational geometry

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A Two-Phase constraint programming Model for Examination Timetabling at University College Cork 26th

A Two-Phase Constraint Programming Model for Examination Tim...

引用

26th international conference on principles and practice of constraint programming, cp 2020

作者： Genc, Begum O’Sullivan, Barry Confirm Centre for Smart Manufacturing School of Computer Science and Information Technology University College Cork Cork Ireland Insight Centre for Data Analytics School of Computer Science and Information Technology University College Cork Cork Ireland

ISBN: (纸本)9783030584740

Examination timetabling is a widely studied NP-hard problem. An additional challenge to the complexity of the problem are many real-world requirements that can often prevent the relaxation of some constraints. We report on a project focused on automating the examination timetabling process of University College Cork (UCC) to enhance the examination schedules so that they are fairer to student, as well as being less resource intensive to generate from an administrative point of view. We work with a formulation developed in collaboration with the institution and real data that it provided to us. We propose a two-phase constraint programming approach to solving UCC ’s examination timetabling problem. the first phase considers the timing of examinations while the second phase considers their allocation to rooms. Both phases are modelled using bin-packing constraints and, in particular, an interesting variant in which items can be split across multiple bins. this variant is known as bin packing with fragmentable items. We investigate the tightly linked constraints and difficulties in decomposing the centralised model. We provide empirical results using different search strategies, and compare the quality of our solution with the existing UCC schedule. constraint programming allows us to easily modify the model to express additional constraints or remove the pre-existing ones. Our approach generates significantly better timetables for the university, as measured using a variety of real-world quality metrics, than those prepared by their timetabling experts, and in a reasonable timeframe. © 2020, Springer Nature Switzerland AG.

关键词： Students

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FuSeBMC IA: Interval Analysis and Methods for Test Case Generation (Competition Contribution) 1

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26th international conference on Fundamental Approaches to Software Engineering (FASE) Held as Part of the European Joint conferences on theory and practice of Software (ETAPS)

作者： Aldughaim, Mohannad Alshmrany, Kaled M. Gadelha, Mikhail R. de Freitas, Rosiane Cordeiro, Lucas C. Univ Manchester Manchester Lancs England Igalia La Coruna Spain Univ Fed Amazonas Manaus Amazonas Brazil King Saud Univ Riyadh Saudi Arabia Inst Publ Adm Jeddah Saudi Arabia

ISBN: (数字)9783031308260

ISBN: (纸本)9783031308253;9783031308260

the cooperative veriflcation of Bounded Model Checking and Fuzzing has proved to be one of the most effective techniques when testing C programs. FuSeBMC is a test-generation tool that employs BMC and Fuzzing to produce test cases. In Test-Comp 2023, we present an interval approach to FuSeBMC IA, improving the test generator to use interval methods and abstract interpretation (via Frama-C) to strengthen our instrumentation and fuzzing. Here, an abstract interpretation engine instruments the program as follows. It analyzes different program branches, combines the conditions of each branch, and produces a constraint Satisfaction Problem (CSP), which is solved using constraint programming (cp) by interval manipulation techniques called Contractor programming. this process has a set of invariants for each branch, which are introduced back into the program as constraints. Experimental results show improvements in reducing cpU time (37%) and memory (13%), while retaining a high score.

关键词： Automated Test-Case Generation Bounded Model Checking Fuzzing Abstract Interpretation constraint programming Contractors.

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the SeqBin constraint revisited

The SeqBin constraint revisited

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18th international conference on principles and practice of constraint programming, cp 2012

作者： Katsirelos, George Narodytska, Nina Walsh, Toby UBIA INRA Toulouse France NICTA UNSW Sydney Australia

ISBN: (纸本)9783642335570

We revisit the SeqBin constraint [1]. this meta-constraint subsumes a number of important global constraints like Change [2], Smooth [3] and IncreasingNValue [4]. We show that the previously proposed filtering algorithm for SeqBin has two drawbacks even under strong restrictions: it does not detect bounds disentailment and it is not idempotent. We identify the cause for these problems, and propose a new propagator that overcomes both issues. Our algorithm is based on a connection to the problem of finding a path of a given cost in a restricted n-partite graph. Our propagator enforces domain consistency in O(nd 2) and, for special cases of SeqBin that include Change, Smooth and IncreasingNValue in O(nd) time. © 2012 Springer-Verlag.

关键词： constraint theory

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Guided Bottom-Up Interactive constraint Acquisition 29

Guided Bottom-Up Interactive Constraint Acquisition

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29th international conference on principles and practice of constraint programming, cp 2023

作者： Tsouros, Dimosthenis C. Berden, Senne Guns, Tias KU Leuven Belgium

ISBN: (纸本)9783959773003

constraint Acquisition (CA) systems can be used to assist in the modeling of constraint satisfaction problems. In (inter)active CA, the system is given a set of candidate constraints and posts queries to the user with the goal of finding the right constraints among the candidates. Current interactive CA algorithms suffer from at least two major bottlenecks. First, in order to converge, they require a large number of queries to be asked to the user. Second, they cannot handle large sets of candidate constraints, since these lead to large waiting times for the user. For this reason, the user must have fairly precise knowledge about what constraints the system should consider. In this paper, we alleviate these bottlenecks by presenting two novel methods that improve the efficiency of CA. First, we introduce a bottom-up approach named GrowAcq that reduces the maximum waiting time for the user and allows the system to handle much larger sets of candidate constraints. It also reduces the total number of queries for problems in which the target constraint network is not sparse. Second, we propose a probability-based method to guide query generation and show that it can significantly reduce the number of queries required to converge. We also propose a new technique that allows the use of openly accessible cp solvers in query generation, removing the dependency of existing methods on less well-maintained custom solvers that are not publicly available. Experimental results show that our proposed methods outperform state-of-the-art CA methods, reducing the number of queries by up to 60%. Our methods work well even in cases where the set of candidate constraints is 50 times larger than the ones commonly used in the literature. © Dimosthenis C. Tsouros, Senne Berden, and Tias Guns.

关键词： constraint satisfaction problems

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Secure distributed constraint satisfaction: Reaching agreement without revealing private information 8th

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8th international conference on principles and practice of constraint programming, cp 2002

作者： Yokoo, Makoto Suzuki, Koutarou Hirayama, Katsutoshi NTT Communication Science Laboratories NTT Corporation 2-4 Hikaridai Seika-choKyoto619-0237 Japan NTT Information Sharing Platform Laboratories NTT Corporation 1-1 Hikari-no-oka YokosukaKanagawa239-0847 Japan Kobe University of Mercantile Marine 5-1-1 Fukae-minami-machi Higashinada-ku Kobe658-0022 Japan

ISBN: (纸本)3540441204

this paper develops a secure distributed constraint Satisfaction algorithm. A Distributed constraint Satisfaction Problem (DisCSP) is a CSP in which variables and constraints are distributed among multiple agents. A major motivation for solving a DisCSP without gathering all information in one server is the concern about privacy/***, existing DisCSP algorithms leak some information during the search process and privacy/security issues are not dealt with *** newly developed algorithm utilizes a public key encryption *** this algorithm, multiple servers, which receive encrypted information from agents, cooperatively perform a search process that is equivalent to a standard chronological backtracking. this algorithm does not leak any private information, i.e., neither agents nor servers can obtain any additional information on the value assignment of variables that belong to other agents. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Multi agent systems

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Fixed-Template Promise Model Checking Problems 28

Fixed-Template Promise Model Checking Problems

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28th international conference on principles and practice of constraint programming, cp 2022

作者： Asimi, Kristina Barto, Libor Butti, Silvia Department of Algebra Faculty of Mathematics and Physics Charles University Prague Czech Republic Department of Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain

ISBN: (纸本)9783959772402

the fixed-template constraint satisfaction problem (CSP) can be seen as the problem of deciding whether a given primitive positive first-order sentence is true in a fixed structure (also called model). We study a class of problems that generalizes the CSP simultaneously in two directions: we fix a set L of quantifiers and Boolean connectives, and we specify two versions of each constraint, one strong and one weak. Given a sentence which only uses symbols from L, the task is to distinguish whether the sentence is true in the strong sense, or it is false even in the weak sense. We classify the computational complexity of these problems for the existential positive equality-free fragment of first-order logic, i.e., L = {∃, ∧, ∨}, and we prove some upper and lower bounds for the positive equality-free fragment, L = {∃, ∀, ∧, ∨}. the partial results are sufficient, e.g., for all extensions of the latter fragment. © Kristina Asimi, Libor Barto, and Silvia Butti.

关键词： constraint satisfaction problems

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