Richard Lippmann

发表

Temporally oblivious anomaly detection on large networks using functional peers

Kevin M. Carter, Richard Lippmann, Stephen W. Boyer, 2010, IMC '10.

Visualizing attack graphs, reachability, and trust relationships with NAVIGATOR

Richard Lippmann, Stephen W. Boyer, Matthew Chu, 2010, VizSec '10.

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

Richard Lippmann, Linda Kukolich, David Shahian, 1994, NIPS.

Detecting and displaying novel computer attacks with Macroscope

Robert K. Cunningham, Richard Lippmann, Seth E. Webster, 2001, IEEE Trans. Syst. Man Cybern. Part A.

Practical Attack Graph Generation for Network Defense

Richard Lippmann, Kyle Ingols, Keith Piwowarski, 2006, 2006 22nd Annual Computer Security Applications Conference (ACSAC'06).

Neural Network Classifiers Estimate Bayesian a posteriori Probabilities

Richard Lippmann, Michael D. Richard, R. Lippmann, 1991, Neural Computation.

Speech recognition by machines and humans

Richard Lippmann, R. Lippmann, 1997, Speech Commun..

Hybrid neural-network/HMM approaches to wordspotting

Richard Lippmann, Elliot Singer, R. Lippmann, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Figure of Merit Training for Detection and Spotting

Richard Lippmann, Eric I. Chang, 1993, NIPS.

Machine Learning for Computer Security

Philip K. Chan, Richard Lippmann, R. Lippmann, 2006, J. Mach. Learn. Res..

An Interactive Attack Graph Cascade and Reachability Display

Richard Lippmann, Kyle Ingols, Leevar Williams, 2007, VizSEC.

Machine learning in adversarial environments

Richard Lippmann, Pavel Laskov, R. Lippmann, 2010, Machine Learning.

Neural Net and Traditional Classifiers

Richard Lippmann, William Y. Huang, William Y. Huang, 1987, NIPS.

A neutral network for isolated-word recognition

Richard Lippmann, Bernard Gold, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Results of the DARPA 1998 Offline Intrusion Detection Evaluation

Robert K. Cunningham, Richard Lippmann, Marc A. Zissman, 1999, Recent Advances in Intrusion Detection.

Discriminant clustering using an HMM isolated-word recognizer

Richard Lippmann, Edward A. Martin, E. A. Martin, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

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

Richard Lippmann, Paul Beckman, R. Lippmann, 1988, NIPS.

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

Richard Lippmann, Beth A. Carlson, R. Lippmann, 1997, EUROSPEECH.

The 1999 DARPA off-line intrusion detection evaluation

Richard Lippmann, Joshua W. Haines, Kumar Das, 2000, Comput. Networks.

Improving wordspotting performance with artificially generated data

Richard Lippmann, Eric I. Chang, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

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

Richard Lippmann, William W. Streilein, Tamara Yu, 2015, SpringSim.

A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively

Richard Lippmann, Eric I. Chang, 1992, NIPS.

High-performance low-complexity wordspotting using neural networks

Richard Lippmann, Eric I. Chang, 1997, IEEE Trans. Signal Process..

Automated generation and analysis of attack graphs

Somesh Jha, Richard Lippmann, Jeannette M. Wing, 2002, Proceedings 2002 IEEE Symposium on Security and Privacy.

Comparison of Auditory Models for Robust Speech Recognition

Richard Lippmann, Charles R. Jankowski, 1992, HLT.

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

Richard Lippmann, R. Lippmann, 1996, Speech Commun..

Tuning Intrusion Detection to Work with a Two Encryption Key Version of IPsec

Richard Lippmann, Ahren Studer, Cynthia McLain, 2007, MILCOM 2007 - IEEE Military Communications Conference.

Accurate consonant perception without mid-frequency speech energy

Richard Lippmann, R. Lippmann, 1996, IEEE Trans. Speech Audio Process..

Using Voice Transformations to Create Additional Training Talkers for Word Spotting

Richard Lippmann, Eric I. Chang, R. Lippmann, 1994, NIPS.

GARNET: A Graphical Attack Graph and Reachability Network Evaluation Tool

Richard Lippmann, Kyle Ingols, Leevar Williams, 2008, VizSEC.

HMM Speech Recognition with Neural Net Discrimination

Richard Lippmann, William Y. Huang, William Y. Huang, 1989, NIPS.

Experience Using Active and Passive Mapping for Network Situational Awareness

Richard Lippmann, Marc A. Zissman, Seth E. Webster, 2006, Fifth IEEE International Symposium on Network Computing and Applications (NCA'06).

Improved Hidden Markov Models Speech Recognition Using Radial Basis Function Networks

Richard Lippmann, Elliot Singer, 1991, NIPS.

Using Genetic Algorithms to Improve Pattern Classification Performance

Richard Lippmann, Eric I. Chang, R. Lippmann, 1990, NIPS.

Practical Characteristics of Neural Network and Conventional Patterns Classifiers

Kenney Ng, Richard Lippmann, R. Lippmann, 1990, NIPS.

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

Richard Lippmann, Seth E. Webster, Douglas Stetson, 2002, RAID.

EMBER: a global perspective on extreme malicious behavior

Richard Lippmann, Stephen W. Boyer, Tamara Yu, 2010, VizSec '10.

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

Richard Lippmann, Joshua W. Haines, Kumar Das, 2000, Recent Advances in Intrusion Detection.

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

Richard Lippmann, Richard Lippmann, R. Lippmann, 1994, Int. J. Neural Syst..

Wordspotter training using figure-of-merit back propagation

Richard Lippmann, Charles R. Jankowski, Eric I. Chang, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

A comparison of signal processing front ends for automatic word recognition

Richard Lippmann, Charles R. Jankowski, Hoang-Doan H. Vo, 1995, IEEE Trans. Speech Audio Process..

A Micropower Analog VLSI HMM State Decoder for Wordspotting

John Wawrzynek, John Lazzaro, Richard Lippmann, 1996, NIPS.

Modeling Modern Network Attacks and Countermeasures Using Attack Graphs

Richard Lippmann, Stephen W. Boyer, Matthew Chu, 2009, 2009 Annual Computer Security Applications Conference.

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

Richard Lippmann, 1993, HLT.

Improving Intrusion Detection Performance using Keyword Selection and Neural Networks

Robert K. Cunningham, Richard Lippmann, R. Lippmann, 2000, Recent Advances in Intrusion Detection.

Using genetic algorithms to select and create features for pattern classification

Richard Lippmann, Eric I. Chang, D. W. Tong, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

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

Richard Lippmann, Tim Leek, Misha Zitser, 2004, SIGSOFT '04/FSE-12.

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

Richard Lippmann, 1978 .

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

Richard Lippmann, Yuchun Lee, R. Lippmann, 1989, NIPS.

Review of Neural Networks for Speech Recognition

Richard Lippmann, R. Lippmann, 1989, Neural Computation.