Samuel Teuber
  • About Me
  • Research
  • Teaching
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  • Talks
    • Heterogeneous Dynamic Logic: Provability Modulo Program Theories
    • Differential Verification of Neural Networks: Theory and Applications
    • Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision
    • Heterogeneous Dynamic Logic: Provability Modulo Program Theories
    • Guaranteed Safe AI Seminars
    • Replication of the Landscape for LLM-generated Formal Specifications for C Programs
    • Formally Verified LLM Program Synthesis for Solidity Smart Contracts
    • Replication of the Landscape for LLM-generated Formal Specifications for C Programs
    • Of Good Demons and Bad Angels: Guaranteeing Safe Neural Control under Finite Precision
    • Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision
    • Of Good Demons and Bad Angels: Guaranteeing Safe Neural Control under Finite Precision
    • Dynamic Logic à la Locale
    • Provable Guarantees for Neural Networks
    • Verification of Autonomous Neural Car Control with KeYmaera X
    • Revisiting Differential Verification: Equivalence Verification with Confidence
    • Next Steps in LLM-Supported Java Verification
    • Towards LLM-support for Deductive Verification of Java Programs
    • Provably Safe Neural Network Controllers via Differential Dynamic Logic
    • Heterogeneous Dynamic Logic
    • Provably Safe Neural Network Controllers via Differential Dynamic Logic
    • An Information-Flow Perspective on Algorithmic Fairness
  • Publications
    • Differential Zonotopes for Verifying Global Robustness of DNNs
    • Compositional Neural-Cyber-Physical System Verification in the Interactive Theorem Prover of Your Choice
    • Encrypted Neural Networks without Overflows
    • Heterogeneous Dynamic Logic: Provability Modulo Program Theories
    • Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision
    • Verification of Autonomous Neural Car Control with KeYmaera X
    • Revisiting Differential Verification: Equivalence Verification with Confidence
    • NNEquiv
    • Next Steps in LLM-Supported Java Verification
    • Provably Safe Neural Network Controllers via Differential Dynamic Logic
    • Towards Combining the Cognitive Abilities of Large Language Models with the Rigor of Deductive Progam Verification
    • An Information-Flow Perspective on Algorithmic Fairness
    • Quantifying Software Correctness by Combining Architecture Modeling and Formal Program Analysis
    • NCubeV
    • NNEquiv
    • Formally Verified Algorithmic Fairness using Information-Flow Tools (Extended Abstract)
    • Transfer of Safety Guarantees from Differential Dynamic Logic Proofs to Neural Network-based Controller Systems
    • Geometric Path Enumeration for Equivalence Verification of Neural Networks
    • Quantifying Software Reliability via Model-Counting
    • counterSharp
    • An Incremental Abstraction Scheme for Solving Hard SMT-Instances over Bit-Vectors
    • Solving difficult SMT instances using abstractions and incremental SMT solving
    • Efficient unpacking of required software from CERNVM-FS
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  • Projects
    • Solving difficult SMT instances using abstractions and incremental SMT solving
    • Efficient unpacking of required software from CVMFS
    • Developing a Deca subset compiler
    • Studyplan
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    • Corrigendum to "An Information-Flow Perspective on Algorithmic Fairness"
  • Curriculum Vitae
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NCubeV

1. Jan 2024·
Samuel Teuber
Samuel Teuber
,
Stephan Mitsch
,
André Platzer
· 0 min read
Cite Code DOI
Type
Software
Last updated on 1. Jan 2024
Neural Network Verification Formal Methods
Samuel Teuber
Authors
Samuel Teuber
PhD Candidate
Researching formal verification of AI-based heterogeneous systems, with applications in neural network control and algorithmic fairness.
← Quantifying Software Correctness by Combining Architecture Modeling and Formal Program Analysis 8. Jan 2024
NNEquiv 1. Jan 2024 →

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