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Books and Theses
- 2010
[b1]Blaine Nelson:
Behavior of Machine Learning Algorithms in Adversarial Environments. University of California, Berkeley, USA, 2010
Journal Articles
- 2017
- [j6]Christos Dimitrakakis, Blaine Nelson, Zuhe Zhang, Aikaterini Mitrokotsa
, Benjamin I. P. Rubinstein:
Differential Privacy for Bayesian Inference through Posterior Sampling. J. Mach. Learn. Res. 18: 11:1-11:39 (2017) - 2015
- [j5]Huang Xiao, Battista Biggio, Blaine Nelson, Han Xiao, Claudia Eckert, Fabio Roli:
Support vector machines under adversarial label contamination. Neurocomputing 160: 53-62 (2015) - 2013
- [j4]Anthony D. Joseph, Pavel Laskov, Fabio Roli, J. Doug Tygar, Blaine Nelson:
Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371). Dagstuhl Manifestos 3(1): 1-30 (2013) - 2012
- [j3]Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar:
Query Strategies for Evading Convex-Inducing Classifiers. J. Mach. Learn. Res. 13: 1293-1332 (2012) - 2010
- [j2]Marco Barreno, Blaine Nelson, Anthony D. Joseph, J. D. Tygar:
The security of machine learning. Mach. Learn. 81(2): 121-148 (2010) - 2009
- [j1]Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Satish Rao, Nina Taft, J. D. Tygar:
Stealthy poisoning attacks on PCA-based anomaly detectors. SIGMETRICS Perform. Evaluation Rev. 37(2): 73-74 (2009)
Conference and Workshop Papers
- 2014
- [c19]Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein:
Robust and Private Bayesian Inference. ALT 2014: 291-305 - 2013
- [c18]Blaine Nelson, Christos Dimitrakakis, Elaine Shi:
Summary/overview for artificial intelligence and security (AISec'13). CCS 2013: 1483-1484 - [c17]Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli:
Evasion Attacks against Machine Learning at Test Time. ECML/PKDD (3) 2013: 387-402 - 2012
- [c16]Alvaro A. Cárdenas, Blaine Nelson, Benjamin I. P. Rubinstein:
Fifth ACM workshop on artificial intelligence and security (AISec 2012). CCS 2012: 1056-1057 - [c15]Battista Biggio, Blaine Nelson, Pavel Laskov:
Poisoning Attacks against Support Vector Machines. ICML 2012 - 2011
- [c14]Ling Huang, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar:
Adversarial machine learning. AISec 2011: 43-58 - [c13]Blaine Nelson, Battista Biggio, Pavel Laskov:
Understanding the risk factors of learning in adversarial environments. AISec 2011: 87-92 - [c12]Blaine Nelson, Battista Biggio, Pavel Laskov:
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers. ACML 2011: 63-79 - [c11]Battista Biggio, Blaine Nelson, Pavel Laskov:
Support Vector Machines Under Adversarial Label Noise. ACML 2011: 97-112 - 2010
- [c10]Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, J. D. Tygar:
Classifier Evasion: Models and Open Problems. PSDML 2010: 92-98 - [c9]Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. Doug Tygar:
Near-Optimal Evasion of Convex-Inducing Classifiers. AISTATS 2010: 549-556 - 2009
- [c8]Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Satish Rao, Nina Taft, J. D. Tygar:
ANTIDOTE: understanding and defending against poisoning of anomaly detectors. Internet Measurement Conference 2009: 1-14 - 2008
- [c7]Blaine Nelson, T. K. Satish Kumar:
CircuitTSAT: A Solver for Large Instances of the Disjunctive Temporal Problem. ICAPS 2008: 232-239 - [c6]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 - [c5]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 - [c4]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 - 2007
- [c3]Blaine Nelson, Ira Cohen:
Revisiting probabilistic models for clustering with pair-wise constraints. ICML 2007: 673-680 - 2006
- [c2]Marco Barreno, Blaine Nelson, Russell Sears, Anthony D. Joseph, J. D. Tygar:
Can machine learning be secure? AsiaCCS 2006: 16-25 - 2005
- [c1]Steve Martin, Blaine Nelson, Anil Sewani, Karl Chen, Anthony D. Joseph:
Analyzing Behavioral Features for Email Classification. CEAS 2005
Editorship
- 2013
- [e1]Ahmad-Reza Sadeghi, Blaine Nelson, Christos Dimitrakakis, Elaine Shi:
AISec'13, Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Co-located with CCS 2013, Berlin, Germany, November 4, 2013. ACM 2013, ISBN 978-1-4503-2488-5 [contents]
Informal and Other Publications
- 2024
- [i9]Ellen Su, Anu Vellore, Amy Chang, Raffaele Mura, Blaine Nelson, Paul Kassianik, Amin Karbasi:
Extracting Memorized Training Data via Decomposition. CoRR abs/2409.12367 (2024) - 2023
- [i8]Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi:
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. CoRR abs/2312.02119 (2023) - 2022
- [i7]Huang Xiao, Battista Biggio, Blaine Nelson, Han Xiao, Claudia Eckert, Fabio Roli:
Support Vector Machines under Adversarial Label Contamination. CoRR abs/2206.00352 (2022) - 2017
- [i6]Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli:
Evasion Attacks against Machine Learning at Test Time. CoRR abs/1708.06131 (2017) - 2014
- [i5]Battista Biggio, Igino Corona, Blaine Nelson, Benjamin I. P. Rubinstein, Davide Maiorca, Giorgio Fumera, Giorgio Giacinto, Fabio Roli:
Security Evaluation of Support Vector Machines in Adversarial Environments. CoRR abs/1401.7727 (2014) - 2013
- [i4]Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein:
Robust, Secure and Private Bayesian Inference. CoRR abs/1306.1066 (2013) - 2012
- [i3]Anthony D. Joseph, Pavel Laskov, Fabio Roli, J. Doug Tygar, Blaine Nelson:
Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371). Dagstuhl Reports 2(9): 109-130 (2012) - 2010
- [i2]Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. D. Tygar:
Near-Optimal Evasion of Convex-Inducing Classifiers. CoRR abs/1003.2751 (2010) - [i1]Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar:
Query Strategies for Evading Convex-Inducing Classifiers. CoRR abs/1007.0484 (2010)
Coauthor Index
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