Concepedia

Towards a robust and trustworthy machine learning system development: An engineering perspective

Pulei Xiong, Scott Buffett, Shahrear Iqbal, Philippe Lamontagne, Mohammad Mamun, Heather Molyneaux

Journal of Information Security and Applications · 2022 · 28 citations · 112 references

Open access

Concepts

ComputingComputer ScienceSystems EngineeringArtificial IntelligenceMachine LearningSecure Software DevelopmentDependability MetricsModel ValidationOptimization For Machine LearningReliable System DesignRoot Of TrustSoftware ValidationAdversarial RobustnessFault-tolerant Machine LearningMachine-learning AttacksRobustness Of Ai SystemsSecure Machine LearningStability Of Learning AlgorithmsTrustworthy Ai

References

112

Explaining and Harnessing Adversarial Examples

Ian Goodfellow, Jonathon Shlens, Christian Szegedy · arXiv (Cornell University) · 2014 · 8.2K citations · Full text

Computing, Computer Science, Algorithms +11

Fully homomorphic encryption using ideal lattices

Craig Gentry · 2009 · 6.6K citations

Computing, Computer Engineering, Computer Science +12

DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks

Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard · 2016 · 5.3K citations · Full text

Computing, Computer Science, Artificial Intelligence +12

Membership Inference Attacks Against Machine Learning Models

Reza Shokri, Marco Stronati, Congzheng Song et al. · 2017 · 4.2K citations

Computing, Computer Science, Cybersecurity +17

The Limitations of Deep Learning in Adversarial Settings

Nicolas Papernot, Patrick McDaniel, Somesh Jha et al. · 2016 · 3.9K citations

Computing, Computer Science, Computer Security +12