How Wrong Am I? - Studying Adversarial Examples and their Impact on Uncertainty in Gaussian Process Machine Learning Models

Keywords

Adversarial system, Gaussian process, Process (computing), Artificial intelligence, Computer science

References

• Good Word Attacks on Statistical Spam FiltersDaniel Lowd, Christopher Meek — 2005
• Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric SystemsRon L. Fadley — 2016
• Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)Carl Edward Rasmussen, Christopher K. I. Williams — 2005
• Using the Taylor expansion of multilayer feedforward neural networksAndries P. Engelbrecht — 2000
• Intriguing properties of neural networksChristian Szegedy, Wojciech Zaremba, Ilya Sutskever — 2013
• Automatic analysis of malware behavior using machine learningKonrad Rieck, Philipp Trinius, Carsten Willems — 2011
• Deep neural network based malware detection using two dimensional binary program featuresJoshua Saxe, Konstantin Berlin — 2015
• Outside the Closed World: On Using Machine Learning for Network Intrusion DetectionRobin Sommer, Vern Paxson — 2010
• Looking at the bag is not enough to find the bomb: an evasion of structural methods for malicious PDF files detectionDavide Maiorca, Igino Corona, Giorgio Giacinto — 2013
• Practical Evasion of a Learning-Based Classifier: A Case StudyNedim Šrndić, Pavel Laskov — 2014
• Gradient-based learning applied to document recognitionYann LeCun, Léon Bottou, Yoshua Bengio — 1998
• An evaluation of Naive Bayesian anti-spam filteringIon Androutsopoulos, John Koutsias, Konstantinos V. Chandrinos — 2000
• The security of machine learningMarco Barreno, Blaine Nelson, Anthony D. Joseph — 2010
• Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal CoversClément Farabet, Camille Couprie, Laurent Najman — 2012
• Gaussian Process Latent Variable Models for Visualisation of High Dimensional DataNeil D. Lawrence — 2003
• The Limitations of Deep Learning in Adversarial SettingsNicolas Papernot, Patrick McDaniel, Somesh Jha — 2015
• DeepFool: A Simple and Accurate Method to Fool Deep Neural NetworksSeyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard — 2015
• Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial SamplesNicolas Papernot, Patrick McDaniel, Ian Goodfellow — 2016
• Curie: A method for protecting SVM Classifier from Poisoning AttackRicky Laishram, Vir V. Phoha — 2016
• Adversarial Perturbations Against Deep Neural Networks for Malware ClassificationKathrin Grosse, Nicolas Papernot, Praveen Manoharan — 2016

Cited by

• Killing Three Birds with one Gaussian Process: Analyzing Attack Vectors on ClassificationKathrin Grosse, M. Smith, M. Backes — 2018
• Bayesian deep learning on a quantum computerZhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost — 2018
• Robustness Guarantees for Bayesian Inference with Gaussian ProcessesLuca Cardelli, Marta Kwiatkowska, Luca Laurenti — 2018
• Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine LearningRichard Tomsett, Amy Widdicombe, Tianwei Xing — 2018
• Quantum Statistical InferenceZhikuan Zhao — 2018
• Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machinesAidan Kehoe, Péter Wittek, Yanbo Xue — 2020
• Probabilistic Reach-Avoid for Bayesian Neural NetworksMatthew Wicker, Luca Laurenti, Andrea Patanè — 2023
• Adversarial Robustness Guarantees for Gaussian ProcessesAndrea Patanè, Arno Blaas, Luca Laurenti — 2021
• Certification of Iterative Predictions in Bayesian Neural NetworksMatthew Wicker, Luca Laurenti, Andrea Patanè — 2021

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• Gaussian approximations to conditional distributions for multi-Gaussian processesMichael L. Stein — 1987
• Estimating extremes of combined two Gaussian and non-Gaussian response processesKuangmin Gong, Xinzhong Chen — 2014