Richard Lippmann

According to our database, Richard Lippmann authored at least 60 papers between 1978 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Understanding and Applying Deep Learning.

Richard Lippmann

Neural Comput., March, 2023

2015

Agent-based simulation for assessing network security risk due to unauthorized hardware.

Neal Wagner, Richard Lippmann, Michael L. Winterrose, James Riordan, Tamara Yu, William W. Streilein

Proceedings of the Symposium on Agent-Directed Simulation, 2015

2010

Machine learning in adversarial environments.

Pavel Laskov, Richard Lippmann

Mach. Learn., 2010

EMBER: a global perspective on extreme malicious behavior.

Tamara Yu, Richard Lippmann, James Riordan, Stephen W. Boyer

Proceedings of the 7th International Symposium on Visualization for Cyber Security, 2010

Visualizing attack graphs, reachability, and trust relationships with NAVIGATOR.

Matthew Chu, Kyle Ingols, Richard Lippmann, Seth E. Webster, Stephen W. Boyer

Proceedings of the 7th International Symposium on Visualization for Cyber Security, 2010

Temporally oblivious anomaly detection on large networks using functional peers.

Kevin M. Carter, Richard Lippmann, Stephen W. Boyer

Proceedings of the 10th ACM SIGCOMM Internet Measurement Conference, 2010

2009

Modeling Modern Network Attacks and Countermeasures Using Attack Graphs.

Kyle Ingols, Matthew Chu, Richard Lippmann, Seth E. Webster, Stephen W. Boyer

Proceedings of the Twenty-Fifth Annual Computer Security Applications Conference, 2009

2008

GARNET: A Graphical Attack Graph and Reachability Network Evaluation Tool.

Leevar Williams, Richard Lippmann, Kyle Ingols

Proceedings of the 5th International Workshop on Visualization for Computer Security, 2008

2007

An Interactive Attack Graph Cascade and Reachability Display.

Leevar Williams, Richard Lippmann, Kyle Ingols

Proceedings of the 4th International Workshop on Visualization for Computer Security, 2007

2006

Machine Learning for Computer Security.

Philip K. Chan, Richard Lippmann

J. Mach. Learn. Res., 2006

Experience Using Active and Passive Mapping for Network Situational Awareness.

Seth E. Webster, Richard Lippmann, Marc A. Zissman

Proceedings of the Fifth IEEE International Symposium on Network Computing and Applications, 2006

Practical Attack Graph Generation for Network Defense.

Kyle Ingols, Richard Lippmann, Keith Piwowarski

Proceedings of the 22nd Annual Computer Security Applications Conference (ACSAC 2006), 2006

2004

Testing static analysis tools using exploitable buffer overflows from open source code.

Misha Zitser, Richard Lippmann, Tim Leek

Proceedings of the 12th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2004, Newport Beach, CA, USA, October 31, 2004

2002

Automated Generation and Analysis of Attack Graphs.

Oleg Sheyner, Joshua W. Haines, Somesh Jha, Richard Lippmann, Jeannette M. Wing

Proceedings of the 2002 IEEE Symposium on Security and Privacy, 2002

The Effect of Identifying Vulnerabilities and Patching Software on the Utility of Network Intrusion Detection.

Richard Lippmann, Seth E. Webster, Douglas Stetson

Proceedings of the Recent Advances in Intrusion Detection, 5th International Symposium, 2002

2001

Detecting and displaying novel computer attacks with Macroscope.

Robert K. Cunningham, Richard Lippmann, Seth E. Webster

IEEE Trans. Syst. Man Cybern. Part A, 2001

2000

The 1999 DARPA off-line intrusion detection evaluation.

Richard Lippmann, Joshua W. Haines, David J. Fried, Jonathan Korba, Kumar Das

Comput. Networks, 2000

Improving intrusion detection performance using keyword selection and neural networks.

Richard Lippmann, Robert K. Cunningham

Comput. Networks, 2000

Analysis and Results of the 1999 DARPA Off-Line Intrusion Detection Evaluation.

Richard Lippmann, Joshua W. Haines, David J. Fried, Jonathan Korba, Kumar Das

Proceedings of the Recent Advances in Intrusion Detection, Third International Workshop, 2000

1999

Results of the DARPA 1998 Offline Intrusion Detection Evaluation.

Richard Lippmann, Robert K. Cunningham, David J. Fried, Isaac Graf, Kris R. Kendall, Seth E. Webster, Marc A. Zissman

Proceedings of the Recent Advances in Intrusion Detection, Second International Workshop, 1999

1997

High-performance low-complexity wordspotting using neural networks.

Eric I. Chang, Richard P. Lippmann

IEEE Trans. Signal Process., 1997

Speech recognition by machines and humans.

Richard P. Lippmann

Speech Commun., 1997

A micropower analog circuit implementation of hidden Markov model state decoding.

John Lazzaro, John Wawrzynek, Richard P. Lippmann

IEEE J. Solid State Circuits, 1997

Using missing feature theory to actively select features for robust speech recognition with interruptions, filtering and noise KN-37.

Richard P. Lippmann, Beth A. Carlson

Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997

1996

Accurate consonant perception without mid-frequency speech energy.

Richard P. Lippmann

IEEE Trans. Speech Audio Process., 1996

Recognition by humans and machines: miles to go before we sleep.

Richard P. Lippmann

Speech Commun., 1996

A Micropower Analog VLSI HMM State Decoder for Wordspotting.

John Lazzaro, John Wawrzynek, Richard Lippmann

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Improving wordspotting performance with artificially generated data.

Eric I. Chang, Richard P. Lippmann

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995

A comparison of signal processing front ends for automatic word recognition.

Charles R. Jankowski Jr., Hoang-Doan H. Vo, Richard P. Lippmann

IEEE Trans. Speech Audio Process., 1995

1994

Book Review: Neural Networks, a Comprehensive Foundation, by Simon Haykin.

Richard Lippmann

Int. J. Neural Syst., 1994

Predicting the Risk of Complications in Coronary Artery Bypass Operations using Neural Networks.

Richard Lippmann, Linda Kukolich, David Shahian

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Using Voice Transformations to Create Additional Training Talkers for Word Spotting.

Eric I. Chang, Richard Lippmann

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Wordspotter training using figure-of-merit back propagation.

Richard Lippmann, Eric I. Chang, Charles R. Jankowski Jr.

Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993

Figure of Merit Training for Detection and Spotting.

Eric I. Chang, Richard Lippmann

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Hybrid neural-network/HMM approaches to wordspotting.

Richard P. Lippmann, Elliot Singer

Proceedings of the IEEE International Conference on Acoustics, 1993

1992

A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively.

Eric I. Chang, Richard Lippmann

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Evaluation and Analysis of Auditory Model Front Ends for Robust Speech Recognition Program Summary.

Richard P. Lippmann

Proceedings of the Speech and Natural Language: Proceedings of a Workshop Held at Harriman, 1992

Comparison of Auditory Models for Robust Speech Recognition.

Charles R. Jankowski Jr., Richard P. Lippmann

Proceedings of the Speech and Natural Language: Proceedings of a Workshop Held at Harriman, 1992

1991

Neural Network Classifiers Estimate Bayesian <i>a posteriori</i> Probabilities.

Michael D. Richard, Richard P. Lippmann

Neural Comput., 1991

Improved Hidden Markov Models Speech Recognition Using Radial Basis Function Networks.

Elliot Singer, Richard Lippmann

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Techniques for information retrieval from voice messages.

Richard C. Rose, Eric I. Chang, Richard Lippmann

Proceedings of the 1991 International Conference on Acoustics, 1991

1990

Practical Characteristics of Neural Network and Conventional Patterns Classifiers.

Kenney Ng, Richard Lippmann

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Using Genetic Algorithms to Improve Pattern Classification Performance.

Eric I. Chang, Richard Lippmann

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

A physiologically motivated front-end for speech recognition.

Thao K. P. Nguyen, Richard P. Lippmann, Bernard Gold, Douglas B. Paul

Proceedings of the IJCNN 1990, 1990

Using genetic algorithms to select and create features for pattern classification.

Eric I. Chang, Richard P. Lippmann, D. W. Tong

Proceedings of the IJCNN 1990, 1990

1989

Review of Neural Networks for Speech Recognition.

Richard P. Lippmann

Neural Comput., 1989

Pattern classification using neural networks.

Richard P. Lippmann

IEEE Commun. Mag., 1989

Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems.

Yuchun Lee, Richard Lippmann

Proceedings of the Advances in Neural Information Processing Systems 2, 1989

HMM Speech Recognition with Neural Net Discrimination.

William Y. Huang, Richard Lippmann

Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988

An introduction to computing with neural nets.

Richard P. Lippmann

SIGARCH Comput. Archit. News, 1988

Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian Noise.

Richard Lippmann, Paul Beckman

Proceedings of the Advances in Neural Information Processing Systems 1, 1988

Dynamic adaptation of Hidden Markov models for robust isolated-word speech recognition.

Edward A. Martin, Richard P. Lippmann, Douglas B. Paul

Proceedings of the IEEE International Conference on Acoustics, 1988

Discriminant clustering using an HMM isolated-word recognizer.

Richard P. Lippmann, Edward A. Martin

Proceedings of the IEEE International Conference on Acoustics, 1988

Neural nets for computing.

Richard P. Lippmann

Proceedings of the IEEE International Conference on Acoustics, 1988

A neural net approach to speech recognition.

William Huang, Richard Lippmann, Ben Gold

Proceedings of the IEEE International Conference on Acoustics, 1988

A neural network for isolated-word recognition.

Bernard Gold, Richard P. Lippmann

Proceedings of the IEEE International Conference on Acoustics, 1988

1987

Neural Net and Traditional Classifiers.

William Y. Huang, Richard Lippmann

Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987

Two-stage discriminant analysis for improved isolated-word recognition.

Edward A. Martin, Richard P. Lippmann, Douglas B. Paul

Proceedings of the IEEE International Conference on Acoustics, 1987

Multi-style training for robust isolated-word speech recognition.

Richard P. Lippmann, Edward A. Martin, Douglas B. Paul

Proceedings of the IEEE International Conference on Acoustics, 1987

1978

The effect of amplitude compression on the intelligibility of speech for persons with sensorineural hearing loss.

Richard P. Lippmann

PhD thesis, 1978