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NeurIPS 2018 Workshop on Security in Machine Learning

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raw text

NeurIPS 2018 Workshop on Security in Machine Learning NeurIPS 2018 Workshop on Security in Machine Learning Date: December 7, 2018 (Friday) Location: Montreal, Canada (co-located with NeurIPS 2018 ) Contact: secml2018-org@googlegroups.com (this will email all organizers) Room: 513DEF Abstract —There is growing recognition that ML exposes new vulnerabilities in software systems. Some of the threat vectors explored so far include training data poisoning, adversarial examples or model extraction. Yet, the technical community's understanding of the nature and extent of the resulting vulnerabilities remains limited. This is due in part to (1) the large attack surface exposed by ML algorithms because they were designed for deployment in benign environments---as exemplified by the IID assumption for training and test data, (2) the limited availability of theoretical tools to analyze generalization, (3) the lack of reliable confidence estimates. In addition, the majority of wo...

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