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Quantitative estimation of side-channel leaks with neural networks

International journal on software tools for technology transfer, 2021-08, Vol.23 (4), p.641-654

2021

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Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks

2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2023, p.1571-1582

2023

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Detecting Unseen Anomalies in Network Systems by Leveraging Neural Networks

IEEE eTransactions on network and service management, 2023-09, Vol.20 (3), p.1-1

2023

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Timing Side-Channel Mitigation via Automated Program Repair

ACM transactions on software engineering and methodology, 2024-07

2024

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Fairness-aware configuration of machine learning libraries

2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022, p.909-920

2022

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Metamorphic Testing and Debugging of Tax Preparation Software

2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS), 2023, p.138-149

2023

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Differential Performance Debugging

Tizpaz Niari, Saeid

2020

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Fast – Asymptotically Optimal – Methods for Determining the Optimal Number of Features

Integrated Uncertainty in Knowledge Modelling and Decision Making, p.123-128

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Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory

Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, 2024, p.211-221

2024

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Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory

2024 IEEE/ACM 3rd International Conference on AI Engineering – Software Engineering for AI (CAIN), 2024, p.211-221

2024

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Discriminating Traces with Time

Tools and Algorithms for the Construction and Analysis of Systems, p.21-37

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QFuzz: quantitative fuzzing for side channels

Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021, p.257-269

2021

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Detecting and understanding real-world differential performance bugs in machine learning libraries

Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020, p.189-199

2020

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Efficient Detection and Quantification of Timing Leaks with Neural Networks

Runtime Verification, 2019, Vol.11757, p.329-348

2019

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Summary of the 1st Interpretability and Robustness in Neural Software Engineering (InteNSE 2023)

Software engineering notes, 2023-12, Vol.49 (1), p.30-33

2023

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Predicting Fairness of ML Software Configurations

Proceedings of the 20th International Conference on Predictive Models and Data Analytics in Software Engineering, 2024, p.56-65

2024

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Causal Graph Fuzzing for Fair ML Software Development

2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 2024, p.402-403

2024

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Causal Graph Fuzzing for Fair ML Sofware Development

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024, p.402-403

2024

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What Is a Natural Probability Distribution on the Class of All Continuous Functions: Maximum Entropy Approach Leads to Wiener Measure

Uncertainty, Constraints, and Decision Making, p.371-375

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Quantitative estimation of side-channel leaks with neural networks

Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks

Detecting Unseen Anomalies in Network Systems by Leveraging Neural Networks

Timing Side-Channel Mitigation via Automated Program Repair

Fairness-aware configuration of machine learning libraries

Metamorphic Testing and Debugging of Tax Preparation Software

Differential Performance Debugging

Fast – Asymptotically Optimal – Methods for Determining the Optimal Number of Features

Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory

Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory

Discriminating Traces with Time

QFuzz: quantitative fuzzing for side channels

Detecting and understanding real-world differential performance bugs in machine learning libraries

Efficient Detection and Quantification of Timing Leaks with Neural Networks

Summary of the 1st Interpretability and Robustness in Neural Software Engineering (InteNSE 2023)

Predicting Fairness of ML Software Configurations

Causal Graph Fuzzing for Fair ML Software Development

Causal Graph Fuzzing for Fair ML Sofware Development

What Is a Natural Probability Distribution on the Class of All Continuous Functions: Maximum Entropy Approach Leads to Wiener Measure

How to Detect (and Analyze) Independent Subsystems of a Black-Box (or Grey-Box) System

Over-Measurement Paradox: Suspension of Thermonuclear Research Center and Need to Update Standards

Verification of OSPF vulnerabilities by colored Petri net

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