| 2009 |
|---|
| 8 | EE | Arpita Ghosh,
Benjamin I. P. Rubinstein,
Sergei Vassilvitskii,
Martin Zinkevich:
Adaptive bidding for display advertising.
WWW 2009: 251-260 |
| 7 | EE | Benjamin I. P. Rubinstein,
Peter L. Bartlett,
J. Hyam Rubinstein:
Shifting: One-inclusion mistake bounds and sample compression.
J. Comput. Syst. Sci. 75(1): 37-59 (2009) |
| 2008 |
|---|
| 6 | EE | Marco Barreno,
Peter L. Bartlett,
Fuching Jack Chi,
Anthony D. Joseph,
Blaine Nelson,
Benjamin I. P. Rubinstein,
Udam Saini,
J. Doug Tygar:
Open problems in the security of learning.
AISec 2008: 19-26 |
| 5 | EE | J. Hyam Rubinstein,
Benjamin I. P. Rubinstein:
Geometric & Topological Representations of Maximum Classes with Applications to Sample Compression.
COLT 2008: 299-310 |
| 4 | EE | Blaine Nelson,
Marco Barreno,
Fuching Jack Chi,
Anthony D. Joseph,
Benjamin I. P. Rubinstein,
Udam Saini,
Charles Sutton,
J. Doug Tygar,
Kai Xia:
Exploiting Machine Learning to Subvert Your Spam Filter.
LEET 2008 |
| 3 | EE | Benjamin I. P. Rubinstein,
Blaine Nelson,
Ling Huang,
Anthony D. Joseph,
Shing-hon Lau,
Nina Taft,
J. Doug Tygar:
Evading Anomaly Detection through Variance Injection Attacks on PCA.
RAID 2008: 394-395 |
| 2006 |
|---|
| 2 | EE | Benjamin I. P. Rubinstein,
Peter L. Bartlett,
J. Hyam Rubinstein:
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds.
NIPS 2006: 1193-1200 |
| 2003 |
|---|
| 1 | EE | Benjamin I. P. Rubinstein,
Jon D. McAuliffe,
Simon Cawley,
Marimuthu Palaniswami,
Kotagiri Ramamohanarao,
Terence P. Speed:
Machine learning in low-level microarray analysis.
SIGKDD Explorations 5(2): 130-139 (2003) |
