Poisoning Attacks against Support Vector Machines

Keywords

Support vector machine, Computer science, Classifier (UML), Artificial intelligence, Construct (python library)

References

• ZOZZLE: Fast and Precise In-Browser JavaScript Malware DetectionCharlie Curtsinger, Benjamin Livshits, Benjamin G. Zorn — 2011
• Statistical fraud detection: A reviewRichard J. Bolton, David J. Hand — 2002
• SpamBayes: Effective open-source, Bayesian based, email classification systemTony Meyer, Brendon Whateley — 2004
• Comparison of learning algorithms for handwritten digit recognitionYann LeCun, L. D. Jackel, Léon Bottou — 1995
• Detection and analysis of drive-by-download attacks and malicious JavaScript codeMarco Cova, Christopher Kruegel, Giovanni Vigna — 2010
• Static detection of malicious JavaScript-bearing PDF documentsPavel Laskov, Nedim Šrndić — 2011
• ANTIDOTE: understanding and defending against poisoning of anomaly detectorsBenjamin I. P. Rubinstein, Blaine Nelson, Ling Huang — 2009
• Multiple classifier systems for robust classifier design in adversarial environmentsBattista Biggio, Giorgio Fumera, Fabio Roli — 2010
• Nash Equilibria of Static Prediction GamesMichael Brückner, Tobias Scheffer — 2009
• Incremental and Decremental Support Vector Machine LearningGert Cauwenberghs, Tomaso Poggio — 2000
• Nightmare at test time: robust learning by feature deletionAmir Globerson, Sam T. Roweis — 2006
• The security of machine learningMarco Barreno, Blaine Nelson, Anthony D. Joseph — 2010
• Convex Learning with InvariancesChoon Hui Teo, Amir Globerson, Sam T. Roweis — 2007
• Can machine learning be secure?Marco Barreno, Blaine Nelson, Russell Sears — 2006
• Exploiting Machine Learning to Subvert Your Spam FilterBlaine Nelson, Marco Barreno, Fuching Jack — 2008
• Learning to classify with missing and corrupted featuresOfer Dekel, Ohad Shamir, Lin Xiao — 2008
• A sense of self for Unix processesStephanie Forrest, Steven A. Hofmeyr, Anil Somayaji — 1996
• Online Anomaly Detection under Adversarial ImpactMarius Kloft, Pavel Laskov — 2010
• The Handbook of MatricesHelmut Lütkepohl — 1996
• Forschungsberichte der Fakultät IV – Elektrotechnik und Informatik C UJO : Efficient Detection and Prevention of Drive-by-Download AttacksK. Rieck, Tammo Krueger, A. Dewald — 2010

Cited by

• Detecting Malware with Information ComplexityNadia Alshahwan, Earl T. Barr, David Clark — 2015
• The Security of Latent Dirichlet AllocationShike Mei, Xiaojin Zhu — 2015
• Evaluating model drift in machine learning algorithmsK. Nelson, George Corbin, Mark Anania — 2015
• Towards Making Systems Forget with Machine UnlearningYinzhi Cao, Junfeng Yang — 2015
• Trusted computation with an adversarial cloudShaunak D. Bopardikar, Alberto Speranzon, Cédric Langbort — 2015
• Visualizing Object Detection FeaturesCarl Vondrick, Aditya Khosla, Hamed Pirsiavash — 2015
• Mitigating Mimicry Attacks Against the Session Initiation ProtocolSamuel Marchal, Anil Mehta, Vijay K. Gurbani — 2015
• Analysis of classifiers’ robustness to adversarial perturbationsAlhussein Fawzi, Omar Fawzi, Pascal Frossard — 2015
• Man vs. Machine: Practical Adversarial Detection of Malicious Crowdsourcing WorkersGang Wang, Tianyi Wang, Haitao Zhang — 2014
• L-GEM based robust learning against poisoning attackFei Zhang, Patrick P. K. Chan, Tianqi Tang — 2015
• Systematic Poisoning Attacks on and Defenses for Machine Learning in HealthcareMehran Mozaffari Kermani, Susmita Sur‐Kolay, Anand Raghunathan — 2015
• On the Practicality of Integrity Attacks on Document-Level Sentiment AnalysisAndrew J. Newell, Rahul Potharaju, Luojie Xiang — 2014
• Causative attack to Incremental Support Vector MachineXiaojun Lin, Patrick P. K. Chan — 2014
• Security and privacy in business networkingSven Wohlgemuth, Stefan Sackmann, Noboru Sonehara — 2014
• AMAL: High-fidelity, behavior-based automated malware analysis and classificationAziz Mohaisen, Omar Alrawi, Manar Mohaisen — 2014
• Adding Robustness to Support Vector Machines Against Adversarial Reverse EngineeringIbrahim Alabdulmohsin, Xin Gao, Xiangliang Zhang — 2014
• Better Malware Ground Truth: Techniques for Weighting Anti-Virus Vendor LabelsAlex Kantchelian, Michael Carl Tschantz, Sadia Afroz — 2015
• Lux0R: Detection of Malicious PDF-embedded JavaScript code through Discriminant Analysis of API ReferencesIgino Corona, Davide Maiorca, Davide Ariu — 2014
• Pattern Recognition Systems under Attack: Design Issues and Research ChallengesBattista Biggio, Giorgio Fumera, Fabio Roli — 2014
• Automated Attacks on Compression-Based ClassifiersIgor Burago, Daniel Lowd — 2015

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