Richard Lippmann

Publication Activity (10 Years)

Years Active: 1987-2023
Publications (10 Years): 1

Top Topics

Agent Based Simulation

Simulation Models

Top Venues

SpringSim (ADS)

Publications

Richard Lippmann
Understanding and Applying Deep Learning. Neural Comput. 35 (3) (2023)
Neal Wagner, Richard Lippmann, Michael L. Winterrose, James Riordan, Tamara Yu, William W. Streilein
Agent-based simulation for assessing network security risk due to unauthorized hardware. SpringSim (ADS) (2015)
Pavel Laskov, Richard Lippmann
Machine learning in adversarial environments. Mach. Learn. 81 (2) (2010)
Kevin M. Carter, Richard Lippmann, Stephen W. Boyer
Temporally oblivious anomaly detection on large networks using functional peers. Internet Measurement Conference (2010)
Tamara Yu, Richard Lippmann, James Riordan, Stephen W. Boyer
EMBER: a global perspective on extreme malicious behavior. VizSEC (2010)
Matthew Chu, Kyle Ingols, Richard Lippmann, Seth E. Webster, Stephen W. Boyer
Visualizing attack graphs, reachability, and trust relationships with NAVIGATOR. VizSEC (2010)
Kyle Ingols, Matthew Chu, Richard Lippmann, Seth E. Webster, Stephen W. Boyer
Modeling Modern Network Attacks and Countermeasures Using Attack Graphs. ACSAC (2009)
Leevar Williams, Richard Lippmann, Kyle Ingols
GARNET: A Graphical Attack Graph and Reachability Network Evaluation Tool. VizSEC (2008)
Leevar Williams, Richard Lippmann, Kyle Ingols
An Interactive Attack Graph Cascade and Reachability Display. VizSEC (2007)
Philip K. Chan, Richard Lippmann
Machine Learning for Computer Security. J. Mach. Learn. Res. 7 (2006)
Kyle Ingols, Richard Lippmann, Keith Piwowarski
Practical Attack Graph Generation for Network Defense. ACSAC (2006)
Seth E. Webster, Richard Lippmann, Marc A. Zissman
Experience Using Active and Passive Mapping for Network Situational Awareness. NCA (2006)
Misha Zitser, Richard Lippmann, Tim Leek
Testing static analysis tools using exploitable buffer overflows from open source code. SIGSOFT FSE (2004)
Richard Lippmann, Seth E. Webster, Douglas Stetson
The Effect of Identifying Vulnerabilities and Patching Software on the Utility of Network Intrusion Detection. RAID (2002)
Oleg Sheyner, Joshua W. Haines, Somesh Jha, Richard Lippmann, Jeannette M. Wing
Automated Generation and Analysis of Attack Graphs. IEEE Symposium on Security and Privacy (2002)
Robert K. Cunningham, Richard Lippmann, Seth E. Webster
Detecting and displaying novel computer attacks with Macroscope. IEEE Trans. Syst. Man Cybern. Part A 31 (4) (2001)
Richard Lippmann, Robert K. Cunningham
Improving intrusion detection performance using keyword selection and neural networks. Comput. Networks 34 (4) (2000)
Richard Lippmann, Joshua W. Haines, David J. Fried, Jonathan Korba, Kumar Das
The 1999 DARPA off-line intrusion detection evaluation. Comput. Networks 34 (4) (2000)
Richard Lippmann, Joshua W. Haines, David J. Fried, Jonathan Korba, Kumar Das
Analysis and Results of the 1999 DARPA Off-Line Intrusion Detection Evaluation. Recent Advances in Intrusion Detection (2000)
Richard Lippmann, Robert K. Cunningham
Improving Intrusion Detection Performance using Keyword Selection and Neural Networks. Recent Advances in Intrusion Detection (1999)
Richard Lippmann, Robert K. Cunningham, David J. Fried, Isaac Graf, Kris R. Kendall, Seth E. Webster, Marc A. Zissman
Results of the DARPA 1998 Offline Intrusion Detection Evaluation. Recent Advances in Intrusion Detection (1999)
John Lazzaro, John Wawrzynek, Richard Lippmann
A Micropower Analog VLSI HMM State Decoder for Wordspotting. NIPS (1996)
Eric I. Chang, Richard Lippmann
Using Voice Transformations to Create Additional Training Talkers for Word Spotting. NIPS (1994)
Richard Lippmann, Linda Kukolich, David Shahian
Predicting the Risk of Complications in Coronary Artery Bypass Operations using Neural Networks. NIPS (1994)
Richard Lippmann, Eric I. Chang, Charles R. Jankowski Jr.
Wordspotter training using figure-of-merit back propagation. ICASSP (1) (1994)
Richard Lippmann
Book Review: Neural Networks, a Comprehensive Foundation, by Simon Haykin. Int. J. Neural Syst. 5 (4) (1994)
Eric I. Chang, Richard Lippmann
Figure of Merit Training for Detection and Spotting. NIPS (1993)
Eric I. Chang, Richard Lippmann
A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively. NIPS (1992)
Elliot Singer, Richard Lippmann
Improved Hidden Markov Models Speech Recognition Using Radial Basis Function Networks. NIPS (1991)
Richard C. Rose, Eric I. Chang, Richard Lippmann
Techniques for information retrieval from voice messages. ICASSP (1991)
Kenney Ng, Richard Lippmann
Practical Characteristics of Neural Network and Conventional Patterns Classifiers. NIPS (1990)
Eric I. Chang, Richard Lippmann
Using Genetic Algorithms to Improve Pattern Classification Performance. NIPS (1990)
Yuchun Lee, Richard Lippmann
Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems. NIPS (1989)
William Y. Huang, Richard Lippmann
HMM Speech Recognition with Neural Net Discrimination. NIPS (1989)
Richard Lippmann, Paul Beckman
Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian Noise. NIPS (1988)
William Huang, Richard Lippmann, Ben Gold
A neural net approach to speech recognition. ICASSP (1988)
William Y. Huang, Richard Lippmann
Neural Net and Traditional Classifiers. NIPS (1987)