Ram Shankar Siva Kumar

Microsoft Corporation

One Microsoft Way

Redmond, WA 98052

United States

SCHOLARLY PAPERS

3

DOWNLOADS

103

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (3)

1.

Adversarial Machine Learning - Industry Perspectives

Number of pages: 7 Posted: 06 Mar 2020
Microsoft Corporation, Microsoft Corporation, Microsoft Corporation, Microsoft Corporation, Microsoft Corporation, Microsoft Corporation, Microsoft Corporation and Microsoft Corporation
Downloads 45 (441,135)
Citation 1

Abstract:

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Machine Learning, Security, Adversarial Machine Learning

2.

Politics of Adversarial Machine Learning

Towards Trustworthy ML: Rethinking Security and Privacy for ML Workshop, Eighth International Conference on Learning Representations (ICLR) 2020
Number of pages: 6 Posted: 27 Mar 2020 Last Revised: 11 May 2020
Kendra Albert, Jon Penney, Bruce Schneier and Ram Shankar Siva Kumar
Harvard Law School, , Harvard University - Berkman Klein Center for Internet & Society and Microsoft Corporation
Downloads 33 (493,275)

Abstract:

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Artificial Intelligence, AI, Machine Learning, Ml, Security, Socio-Technical Systems, Adversarial Machine Learning, Privacy, Security, Human Rights, Spyware, Politics of Technology, Politics of Machine Learning

3.

Legal Risks of Adversarial Machine Learning Research

International Conference on Machine Learning (ICML) 2020 Workshop on Law & Machine Learning
Number of pages: 14 Posted: 29 Jul 2020
Ram Shankar Siva Kumar, Jon Penney, Bruce Schneier and Kendra Albert
Microsoft Corporation, , Harvard University - Berkman Klein Center for Internet & Society and Harvard Law School
Downloads 25 (536,398)

Abstract:

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Adversarial machine learning, security, machine learning, artificial intelligence, law, AI, computer fraud and abuse act, CFAA, legal risks, chilling effects, ML