Journal article

Query Strategies for Evading Convex-Inducing Classifiers

Blaine Nelson, Benjamin IP Rubinstein, Ling Huang, Anthony D Joseph, Steven J Lee, Satish Rao, JD Tygar

Journal of Machine Learning Research | MICROTOME PUBL | Published : 2012


Awarded by National Science Foundation (NSF)

Awarded by AFOSR

Awarded by California state MICRO

Awarded by DHS HSARPA

Awarded by NSF award

Funding Acknowledgements

We gratefully acknowledge the support of our sponsors. This work was supported in part by TRUST (Team for Research in Ubiquitous Secure Technology), which receives support from the National Science Foundation (NSF award #CCF-0424422) and AFOSR (#FA9550-06-1-0244); RAD Lab, which receives support from California state MICRO grants (#06-148 and #07-012); DETER-lab (cyber-DEfense Technology Experimental Research laboratory), which receives support from DHS HSARPA (#022412) and AFOSR (#FA9550-07-1-0501); NSF award #DMS-0707060; the Siebel Scholars Foundation; and the following organizations: Amazon, BT, Cisco, DoCoMo USA Labs, EADS, ESCHER, Facebook, Google, HP, IBM, iCAST, Intel, Microsoft, NetApp, ORNL, Pirelli, Qualcomm, Sun, Symantec, TCS, Telecom Italia, United Technologies, and VMware. The opinions expressed in this paper are solely those of the authors and do not necessarily reflect the opinions of any funding agency, the State of California, or the U.S. government.