Blaine Nelson - RankMe

42 papers A* 6A 4B 1C 2Journal 19Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report. CoRR Zhuoran Yang, Ed Li, Jianliang He, Aman Priyanshu, Baturay Saglam, Paul Kassianik, Sajana Weerawardhena, Anu Vellore, Blaine Nelson, Neusha Javidnia, Arthur Goldblatt, Fraser Burch, Avi Zohary, Assaf Eisenman, Mahdi Sabbaghi, Supriti Vijay, Rahim Dharssi, Dhruv Kedia, Kojin Oshiba, Yaron Singer, Amin Karbasi
2025	—	`conf`	Large Language Models Encode Semantics and Alignment in Linearly Separable Representations. IJCNLP-AACL (long papers) Baturay Saglam, Paul Kassianik, Blaine Nelson, Sajana Weerawardhena, Yaron Singer, Amin Karbasi
2025	J	`jnl`	Large Language Models Encode Semantics in Low-Dimensional Linear Subspaces. CoRR Baturay Saglam, Paul Kassianik, Blaine Nelson, Sajana Weerawardhena, Yaron Singer, Amin Karbasi
2025	J	`jnl`	Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report. CoRR Sajana Weerawardhena, Paul Kassianik, Blaine Nelson, Baturay Saglam, Anu Vellore, Aman Priyanshu, Supriti Vijay, Massimo Aufiero, Arthur Goldblatt, Fraser Burch, Ed Li, Jianliang He, Dhruv Kedia, Kojin Oshiba, Zhouran Yang, Yaron Singer, Amin Karbasi
2025	J	`jnl`	Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report. CoRR Paul Kassianik, Baturay Saglam, Alexander Chen, Blaine Nelson, Anu Vellore, Massimo Aufiero, Fraser Burch, Dhruv Kedia, Avi Zohary, Sajana Weerawardhena, Aman Priyanshu, Adam Swanda, Amy Chang, Hyrum S. Anderson, Kojin Oshiba, Omar Santos, Yaron Singer, Amin Karbasi
2024	J	`jnl`	Extracting Memorized Training Data via Decomposition. CoRR Ellen Su, Anu Vellore, Amy Chang, Raffaele Mura, Blaine Nelson, Paul Kassianik, Amin Karbasi
2024	A*	`conf`	Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. NeurIPS Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi
2023	J	`jnl`	Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. CoRR Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi
2022	J	`jnl`	Support Vector Machines under Adversarial Label Contamination. CoRR Huang Xiao, Battista Biggio, Blaine Nelson, Han Xiao, Claudia Eckert, Fabio Roli
2017	J	`jnl`	Differential Privacy for Bayesian Inference through Posterior Sampling. J. Mach. Learn. Res. Christos Dimitrakakis, Blaine Nelson, Zuhe Zhang, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein
2017	J	`jnl`	Evasion Attacks against Machine Learning at Test Time. CoRR Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli
2015	J	`jnl`	Support vector machines under adversarial label contamination. Neurocomputing Huang Xiao, Battista Biggio, Blaine Nelson, Han Xiao, Claudia Eckert, Fabio Roli
2014	B	`conf`	Robust and Private Bayesian Inference. ALT Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein
2014	J	`jnl`	Security Evaluation of Support Vector Machines in Adversarial Environments. CoRR Battista Biggio, Igino Corona, Blaine Nelson, Benjamin I. P. Rubinstein, Davide Maiorca, Giorgio Fumera, Giorgio Giacinto, Fabio Roli
2013	—	`ed.`	AISec'13, Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Co-located with CCS 2013, Berlin, Germany, November 4, 2013 AISec Ahmad-Reza Sadeghi, Blaine Nelson, Christos Dimitrakakis, Elaine Shi
2013	—	`conf`	Evasion Attacks against Machine Learning at Test Time. ECML/PKDD (3) Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli
2013	J	`jnl`	Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371). Dagstuhl Manifestos Anthony D. Joseph, Pavel Laskov, Fabio Roli, J. Doug Tygar, Blaine Nelson
2013	J	`jnl`	Robust, Secure and Private Bayesian Inference. CoRR Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein
2013	A*	`conf`	Summary/overview for artificial intelligence and security (AISec'13). CCS Blaine Nelson, Christos Dimitrakakis, Elaine Shi
2012	A*	`conf`	Fifth ACM workshop on artificial intelligence and security (AISec 2012). CCS Alvaro A. Cárdenas, Blaine Nelson, Benjamin I. P. Rubinstein
2012	J	`jnl`	Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371). Dagstuhl Reports Anthony D. Joseph, Pavel Laskov, Fabio Roli, J. Doug Tygar, Blaine Nelson
2012	A*	`conf`	Poisoning Attacks against Support Vector Machines. ICML Battista Biggio, Blaine Nelson, Pavel Laskov
2012	J	`jnl`	Query Strategies for Evading Convex-Inducing Classifiers. J. Mach. Learn. Res. Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar
2011	—	`conf`	Adversarial machine learning. AISec Ling Huang, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar
2011	C	`conf`	Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers. ACML Blaine Nelson, Battista Biggio, Pavel Laskov
2011	C	`conf`	Support Vector Machines Under Adversarial Label Noise. ACML Battista Biggio, Blaine Nelson, Pavel Laskov
2011	—	`conf`	Understanding the risk factors of learning in adversarial environments. AISec Blaine Nelson, Battista Biggio, Pavel Laskov
2010	—	`—`	Behavior of Machine Learning Algorithms in Adversarial Environments. Blaine Nelson
2010	—	`conf`	Classifier Evasion: Models and Open Problems. PSDML Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, J. D. Tygar
2010	J	`jnl`	Near-Optimal Evasion of Convex-Inducing Classifiers CoRR Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-Hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. D. Tygar
2010	A	`conf`	Near-Optimal Evasion of Convex-Inducing Classifiers. AISTATS Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-Hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. Doug Tygar
2010	J	`jnl`	Query Strategies for Evading Convex-Inducing Classifiers CoRR Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar
2010	J	`jnl`	The security of machine learning. Mach. Learn. Marco Barreno, Blaine Nelson, Anthony D. Joseph, J. D. Tygar
2009	A	`conf`	ANTIDOTE: understanding and defending against poisoning of anomaly detectors. Internet Measurement Conference Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-Hon Lau, Satish Rao, Nina Taft, J. D. Tygar
2009	J	`jnl`	Stealthy poisoning attacks on PCA-based anomaly detectors. SIGMETRICS Perform. Evaluation Rev. Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-Hon Lau, Satish Rao, Nina Taft, J. D. Tygar
2008	A*	`conf`	CircuitTSAT: A Solver for Large Instances of the Disjunctive Temporal Problem. ICAPS Blaine Nelson, T. K. Satish Kumar
2008	A	`conf`	Evading Anomaly Detection through Variance Injection Attacks on PCA. RAID Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-Hon Lau, Nina Taft, J. Doug Tygar
2008	—	`conf`	Exploiting Machine Learning to Subvert Your Spam Filter. LEET Blaine Nelson, Marco Barreno, Fuching Jack Chi, Anthony D. Joseph, Benjamin I. P. Rubinstein, Udam Saini, Charles Sutton, J. Doug Tygar, Kai Xia
2008	—	`conf`	Open problems in the security of learning. AISec Marco Barreno, Peter L. Bartlett, Fuching Jack Chi, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, Udam Saini, J. Doug Tygar
2007	A*	`conf`	Revisiting probabilistic models for clustering with pair-wise constraints. ICML Blaine Nelson, Ira Cohen
2006	A	`conf`	Can machine learning be secure? AsiaCCS Marco Barreno, Blaine Nelson, Russell Sears, Anthony D. Joseph, J. D. Tygar
2005	—	`conf`	Analyzing Behavioral Features for Email Classification. CEAS Steve Martin, Blaine Nelson, Anil Sewani, Karl Chen, Anthony D. Joseph