Skip to main content
SpringerLink
Log in

Software Verification and Formal Methods for ML-Enabled Autonomous Systems

5th International Workshop, FoMLAS 2022, and 15th International Workshop, NSV 2022, Haifa, Israel, July 31 - August 1, and August 11, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Omri Isac

    1. The Hebrew University of Jerusalem, Jerusalem, Israel

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Radoslav Ivanov

    1. Rensselaer Polytechnic Institute, New York, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Guy Katz

    1. The Hebrew University of Jerusalem, Jerusalem, Israel

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Nina Narodytska

    1. Palo Alto, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Laura Nenzi

    1. University of Trieste, Trieste, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13466)

Included in the following conference series:

Conference proceedings info: FoMLAS 2022, NSV 2022.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. FoMLAS 2022

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. VPN: Verification of Poisoning in Neural Networks

      • Youcheng Sun, Muhammad Usman, Divya Gopinath, Corina S. Păsăreanu
      Pages 3-14

    3. A Cascade of Checkers for Run-time Certification of Local Robustness

      • Ravi Mangal, Corina Păsăreanu
      Pages 15-28

    4. CEG4N: Counter-Example Guided Neural Network Quantization Refinement

      • João Batista P. Matos Jr., Iury Bessa, Edoardo Manino, Xidan Song, Lucas C. Cordeiro
      Pages 29-45

    5. Minimal Multi-Layer Modifications of Deep Neural Networks

      • Idan Refaeli, Guy Katz
      Pages 46-66

    6. Differentiable Logics for Neural Network Training and Verification

      • Natalia Ślusarz, Ekaterina Komendantskaya, Matthew L. Daggitt, Robert Stewart
      Pages 67-77

    7. Neural Networks in Imandra: Matrix Representation as a Verification Choice

      • Remi Desmartin, Grant Passmore, Ekaterina Kommendentskaya
      Pages 78-95

    8. Self-correcting Neural Networks for Safe Classification

      • Klas Leino, Aymeric Fromherz, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina Păsăreanu
      Pages 96-130

    9. Formal Specification for Learning-Enabled Autonomous Systems

      • Saddek Bensalem, Chih-Hong Cheng, Xiaowei Huang, Panagiotis Katsaros, Adam Molin, Dejan Nickovic et al.
      Pages 131-143

  3. NSV 2022

    1. Front Matter

      Pages 145-145
      Download chapter PDF

    2. Verified Numerical Methods for Ordinary Differential Equations

      • Ariel E. Kellison, Andrew W. Appel
      Pages 147-163

    3. Neural Network Precision Tuning Using Stochastic Arithmetic

      • Quentin Ferro, Stef Graillat, Thibault Hilaire, Fabienne Jézéquel, Basile Lewandowski
      Pages 164-186

    4. MLTL Multi-type (MLTLM): A Logic for Reasoning About Signals of Different Types

      • Gokul Hariharan, Brian Kempa, Tichakorn Wongpiromsarn, Phillip H. Jones, Kristin Y. Rozier
      Pages 187-204

  4. Back Matter

    Pages 205-205
    Download chapter PDF
Back to top

Other volumes

  1. Software Verification and Formal Methods for ML-Enabled Autonomous Systems

Keywords

About this book

This book constitutes the refereed proceedings of the 5th International Workshop on Software Verification and Formal Methods for ML-Enables Autonomous Systems, FoMLAS 2022, and the 15th International Workshop on Numerical Software Verification, NSV 2022, which took place in Haifa, Israel, in July/August 2022. 

The volume contains 8 full papers from the FoMLAS 2022 workshop and 3 full papers from the NSV 2022 workshop. The FoMLAS workshop is dedicated to the development of novel formal methods techniques to discussing on how formal methods can be used to increase predictability, explainability, and accountability of ML-enabled autonomous systems. NSV 2022 is focusing on the challenges of the verification of cyber-physical systems with machine learning components. 


Editors and Affiliations

  • The Hebrew University of Jerusalem, Jerusalem, Israel

    Omri Isac, Guy Katz

  • Rensselaer Polytechnic Institute, New York, USA

    Radoslav Ivanov

  • Palo Alto, USA

    Nina Narodytska

  • University of Trieste, Trieste, Italy

    Laura Nenzi

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation