Muutke küpsiste eelistusi

E-raamat: Computer Aided Verification: 34th International Conference, CAV 2022, Haifa, Israel, August 7-10, 2022, Proceedings, Part II

Edited by , Edited by
  • Formaat - PDF+DRM
  • Hind: 4,08 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

This open access two-volume set LNCS 13371 and 13372 constitutes the refereed proceedings of the 34rd International Conference on Computer Aided Verification, CAV 2022, which was held in Haifa, Israel, in August 2022.
The 40 full papers presented together with 9 tool papers and 2 case studies were carefully reviewed and selected from 209 submissions. The papers were organized in the following topical sections:
Part I: Invited papers; formal methods for probabilistic programs; formal methods for neural networks; software Verification and model checking; hyperproperties and security; formal methods for hardware, cyber-physical, and hybrid systems. Part II: Probabilistic techniques; automata and logic; deductive verification and decision procedures; machine learning; synthesis and concurrency.
This is an open access book.

A Billion SMT Queries a Day.- Program Verification with Constrained Horn
Clauses.- Formal Methods for Probabilistic Programs Data-Driven Invariant
Learning for Probabilistic Programs.- Sound and Complete Certificates for
Quantitative Termination Analysis of Probabilistic Programs.-Does a Program
Yield the Right Distribution? Verifying Probabilistic Programs via Generating
Functions.- Abstraction-Renement for Hierarchical Probabilistic Models.-
Formal Methods for Neural Networks Shared Certificates for Neural Network
Verification.- Example Guided Synthesis of Linear Approximations for Neural
Network Verification.- Verifying Neural Networks Against Backdoor Attacks.-
Trainify: A CEGAR-Driven Training and Verification Framework for Safe Deep
Reinforcement Learning.- Neural Network Robustness as a Verication Property:
A Principled Case Study.- Software Verication and Model Checking The
Lattice-Theoretic Essence of Property Directed Reachability Analysis.- Ane
Loop Invariant Generation via Matrix Algebra.- Data-driven Numerical
Invariant Synthesis with Automatic Generation of Attributes.- Proof-guided
Underapproximation Widening for Bounded Model Checking.- SolCMC: Solidity
Compiler's Model Checker.- Sharygina Hyperproperties and Security Software
Verication of Hyperproperties Beyond k-Safety.- Abstraction Modulo Stability
for Reverse Engineering.- A Modular and Highly Extensible API Fuzzer for SMT
Solvers.- Automata and Logic FORQ-based Language Inclusion Formal Testing.-
Sound Automation of Magic Wands.- Divide-and-Conquer Determinization of Büchi
Automata based on SCC Decomposition.- Complementing Büchi Automata with
Ranker.- Deductive Verication and Decision Procedures Even Faster Conicts and
Lazier Reductions for String Solvers.- Local Search For SMT on Linear Integer
Arithmetic.- Reasoning about Data Trees using CHCs.- Veried Erasure
Correction in Coq with MathComp and VST.- Appel End-to-end Mechanised Proof
of an eBPF Virtual Machine for Microcontrollers.- A DSL and Verication Tools
to Guide Design and Proof of Hierarchical Cache-Coherence Protocols.- Machine
Learning Specication-Guided Learning of Nash Equilibria with High Social
Welfare.- Synthesizing Fair Decision Trees via Iterative Constraint Solving.-
SMT-based Translation Validation for Machine Learning Compiler.- Lee
Verifying Fairness in Quantum Machine Learning.- MoGym: Using Formal Models
for Training and Verifying Decision-making Agents.- Synthesis and Concurrency
Synthesis and Analysis of Petri Nets from Causal Specications.- Verifying
generalised and structural soundness of workow netsvia relaxations.- Capture,
Analyze, Diagnose: Realizability Checking of Requirements in FRET.-
Information Flow Guided Synthesis.- Randomized Synthesis for Diversity and
Cost Constraints with Control Improvisation.