Nelson, Blaine

12 publications

NeurIPS 2024 Tree of Attacks: Jailbreaking Black-Box LLMs Automatically Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum Anderson, Yaron Singer, Amin Karbasi

ICMLW 2024 Tree of Attacks: Jailbreaking Black-Box LLMs Automatically Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S Anderson, Yaron Singer, Amin Karbasi

JMLR 2017 Differential Privacy for Bayesian Inference Through Posterior Sampling Christos Dimitrakakis, Blaine Nelson, Zuhe Zhang, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein

ALT 2014 Robust and Private Bayesian Inference Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein

ECML-PKDD 2013 Evasion Attacks Against Machine Learning at Test Time Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli

ICML 2012 Poisoning Attacks Against Support Vector Machines Battista Biggio, Blaine Nelson, Pavel Laskov

JMLR 2012 Query Strategies for Evading Convex-Inducing Classifiers Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar

ACML 2011 Microbagging Estimators: An Ensemble Approach to Distance-Weighted Classifiers Blaine Nelson, Battista Biggio, Pavel Laskov

ACML 2011 Support Vector Machines Under Adversarial Label Noise Battista Biggio, Blaine Nelson, Pavel Laskov

AISTATS 2010 Near-Optimal Evasion of Convex-Inducing Classifiers Blaine Nelson, Benjamin Rubinstein, Ling Huang, Anthony Joseph, Shing–hon Lau, Steven Lee, Satish Rao, Anthony Tran, Doug Tygar

MLJ 2010 The Security of Machine Learning Marco Barreno, Blaine Nelson, Anthony D. Joseph, J. D. Tygar

ICML 2007 Revisiting Probabilistic Models for Clustering with Pair-Wise Constraints Blaine Nelson, Ira Cohen