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07/20/2023
Robust Alternating-Time Temporal Logic
In multi-agent system design, a crucial aspect is to ensure robustness, ...
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06/23/2023
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams
We study a class of reinforcement learning (RL) tasks where the objectiv...
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03/24/2023
Interpretable Anomaly Detection via Discrete Optimization
Anomaly detection is essential in many application domains, such as cybe...
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03/10/2023
Deep Anomaly Detection on Tennessee Eastman Process Data
This paper provides the first comprehensive evaluation and analysis of m...
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12/02/2022
Learning Temporal Logic Properties: an Overview of Two Recent Methods
Learning linear temporal logic (LTL) formulas from examples labeled as p...
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09/21/2022
Analyzing Robustness of Angluin's L* Algorithm in Presence of Noise
Angluin's L* algorithm learns the minimal (complete) deterministic finit...
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09/06/2022
Learning Interpretable Temporal Properties from Positive Examples Only
We consider the problem of explaining the temporal behavior of black-box...
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06/14/2022
Specification sketching for Linear Temporal Logic
Virtually all verification and synthesis techniques assume that the form...
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04/22/2022
Robustness-by-Construction Synthesis: Adapting to the Environment at Runtime
While most of the current synthesis algorithms only focus on correctness...
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03/02/2022
Neuro-Symbolic Verification of Deep Neural Networks
Formal verification has emerged as a powerful approach to ensure the saf...
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01/18/2022
Robust Computation Tree Logic
It is widely accepted that every system should be robust in that "small"...
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11/12/2021
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash
Apple recently revealed its deep perceptual hashing system NeuralHash to...
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10/13/2021
Scalable Anytime Algorithms for Learning Formulas in Linear Temporal Logic
Linear temporal logic (LTL) is a specification language for finite seque...
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05/24/2021
Uncertainty-Aware Signal Temporal Logic Inference
Temporal logic inference is the process of extracting formal description...
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04/30/2021
Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach
We address the problem of inferring descriptions of system behavior usin...
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02/24/2021
Being correct is not enough: efficient verification using robust linear temporal logic
While most approaches in formal methods address system correctness, ensu...
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09/28/2020
Parameterized Synthesis with Safety Properties
Parameterized synthesis offers a solution to the problem of constructing...
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09/22/2020
Property-Directed Verification of Recurrent Neural Networks
This paper presents a property-directed approach to verifying recurrent ...
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09/18/2020
Probably Approximately Correct Explanations of Machine Learning Models via Syntax-Guided Synthesis
We propose a novel approach to understanding the decision making of comp...
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06/12/2020
A Formal Language Approach to Explaining RNNs
This paper presents LEXR, a framework for explaining the decision making...
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02/10/2020
Learning Interpretable Models in the Property Specification Language
We address the problem of learning human-interpretable descriptions of a...
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12/10/2019
Optimally Resilient Strategies in Pushdown Safety Games
Infinite-duration games with disturbances extend the classical framework...
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09/17/2019
Robust, Expressive, and Quantitative Linear Temporal Logics: Pick any Two for Free
Linear Temporal Logic (LTL) is the standard specification language for r...
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09/12/2019
Joint Inference of Reward Machines and Policies for Reinforcement Learning
Incorporating high-level knowledge is an effective way to expedite reinf...
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01/21/2019
Learning-Based Synthesis of Safety Controllers
We propose a machine learning framework to synthesize reactive controlle...
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08/27/2018
Robust, Expressive, and Quantitative Linear Temporal Logics
Linear Temporal Logic (LTL) is the standard specification language for r...
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07/21/2018
Robust Monitoring of Linear Temporal Properties
Runtime verification is commonly used to detect and, if possible, react ...
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06/11/2018
Learning Linear Temporal Properties
We present two novel algorithms for learning formulas in Linear Temporal...
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12/26/2017
Horn-ICE Learning for Synthesizing Invariants and Contracts
We design learning algorithms for synthesizing invariants using Horn imp...
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12/15/2017
Invariant Synthesis for Incomplete Verification Engines
We propose a framework for synthesizing inductive invariants for incompl...
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09/14/2017
