Richard Lippmann - researchr alias

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Viewing Publication 1 - 37 from 37

2023

Understanding and Applying Deep LearningRichard Lippmann. neco, 35(3):287-308, March 2023. [doi]

2015

Agent-based simulation for assessing network security risk due to unauthorized hardwareNeal Wagner, Richard Lippmann, Michael L. Winterrose, James Riordan, Tamara Yu, William W. Streilein. springsim 2015: 18-26 [doi]

2010

2009

Modeling Modern Network Attacks and Countermeasures Using Attack GraphsKyle Ingols, Matthew Chu, Richard Lippmann, Seth E. Webster, Stephen Boyer. acsac 2009: 117-126 [doi]

2008

GARNET: A Graphical Attack Graph and Reachability Network Evaluation ToolLeevar Williams, Richard Lippmann, Kyle Ingols. vizsec 2008: 44-59 [doi]

2007

An Interactive Attack Graph Cascade and Reachability DisplayLeevar Williams, Richard Lippmann, Kyle Ingols. vizsec 2008: 221-236 [doi]

2006

Machine Learning for Computer SecurityPhilip K. Chan, Richard Lippmann. jmlr, 6:2669-2672, 2006. [doi]

Practical Attack Graph Generation for Network DefenseKyle Ingols, Richard Lippmann, Keith Piwowarski. acsac 2006: 121-130 [doi]

Experience Using Active and Passive Mapping for Network Situational AwarenessSeth E. Webster, Richard Lippmann, Marc A. Zissman. nca 2006: 19-26 [doi]

2004

Testing static analysis tools using exploitable buffer overflows from open source codeMisha Zitser, Richard Lippmann, Tim Leek. ESEC/FSE 2004: 97-106 [doi]

2002

The Effect of Identifying Vulnerabilities and Patching Software on the Utility of Network Intrusion DetectionRichard Lippmann, Seth E. Webster, Douglas Stetson. raid 2002: 307-326 [doi]

Automated Generation and Analysis of Attack GraphsOleg Sheyner, Joshua W. Haines, Somesh Jha, Richard Lippmann, Jeannette M. Wing. sp 2002: 273-284 [doi]

2001

Detecting and displaying novel computer attacks with MacroscopeRobert K. Cunningham, Richard Lippmann, Seth E. Webster. tsmc, 31(4):275-281, 2001.

2000

1999

Results of the DARPA 1998 Offline Intrusion Detection EvaluationRichard Lippmann, Robert K. Cunningham, David J. Fried, Isaac Graf, Kris R. Kendall, Seth E. Webster, Marc A. Zissman. raid 1999: [doi]

Improving Intrusion Detection Performance using Keyword Selection and Neural NetworksRichard Lippmann, Robert K. Cunningham. raid 1999: [doi]

1996

A Micropower Analog VLSI HMM State Decoder for WordspottingJohn Lazzaro, John Wawrzynek, Richard Lippmann. nips 1997: 727-733 [doi]

1994

1993

Figure of Merit Training for Detection and SpottingEric I. Chang, Richard Lippmann. nips 1994: 1019-1026 [doi]

1992

A Boundary Hunting Radial Basis Function Classifier which Allocates Centers ConstructivelyEric I. Chang, Richard Lippmann. nips 1993: 139-146 [doi]

1991

Techniques for information retrieval from voice messagesRichard C. Rose, Eric I. Chang, Richard Lippmann. icassp 1991: 317-320 [doi]

Improved Hidden Markov Models Speech Recognition Using Radial Basis Function NetworksElliot Singer, Richard Lippmann. nips 1992: 159-166 [doi]

1990

Using Genetic Algorithms to Improve Pattern Classification PerformanceEric I. Chang, Richard Lippmann. nips 1991: 797-803 [doi]

Practical Characteristics of Neural Network and Conventional Patterns ClassifiersKenney Ng, Richard Lippmann. nips 1991: 970-976 [doi]

1989

HMM Speech Recognition with Neural Net DiscriminationWilliam Y. Huang, Richard Lippmann. nips 1990: 194-202 [doi]

Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech ProblemsYuchun Lee, Richard Lippmann. nips 1990: 168-177 [doi]

1988

A neural net approach to speech recognitionWilliam Huang, Richard Lippmann, Ben Gold. icassp 1988: 99-102 [doi]

Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian NoiseRichard Lippmann, Paul Beckman. nips 1989: 124-132 [doi]

1987

Neural Net and Traditional ClassifiersWilliam Y. Huang, Richard Lippmann. nips 1988: 387-396 [doi]

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