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2020 – today
- 2023
[j17]Richard Lippmann:
Understanding and Applying Deep Learning. Neural Comput. 35(3): 287-308 (2023)
2010 – 2019
- 2015
- [c44]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: 18-26 - 2010
- [j16]Pavel Laskov, Richard Lippmann:
Machine learning in adversarial environments. Mach. Learn. 81(2): 115-119 (2010) - [c43]Kevin M. Carter, Richard Lippmann, Stephen W. Boyer:
Temporally oblivious anomaly detection on large networks using functional peers. Internet Measurement Conference 2010: 465-471 - [c42]Tamara Yu, Richard Lippmann, James Riordan, Stephen W. Boyer:
EMBER: a global perspective on extreme malicious behavior. VizSEC 2010: 1-12 - [c41]Matthew Chu, Kyle Ingols, Richard Lippmann, Seth E. Webster, Stephen W. Boyer:
Visualizing attack graphs, reachability, and trust relationships with NAVIGATOR. VizSEC 2010: 22-33
2000 – 2009
- 2009
- [c40]Kyle Ingols, Matthew Chu, Richard Lippmann, Seth E. Webster, Stephen W. Boyer:
Modeling Modern Network Attacks and Countermeasures Using Attack Graphs. ACSAC 2009: 117-126 - 2008
- [c39]Leevar Williams, Richard Lippmann, Kyle Ingols:
GARNET: A Graphical Attack Graph and Reachability Network Evaluation Tool. VizSEC 2008: 44-59 - [e5]Richard Lippmann, Engin Kirda, Ari Trachtenberg:
Recent Advances in Intrusion Detection, 11th International Symposium, RAID 2008, Cambridge, MA, USA, September 15-17, 2008. Proceedings. Lecture Notes in Computer Science 5230, Springer 2008, ISBN 978-3-540-87402-7 [contents] - 2007
- [c38]Leevar Williams, Richard Lippmann, Kyle Ingols:
An Interactive Attack Graph Cascade and Reachability Display. VizSEC 2007: 221-236 - [e4]Christopher Krügel, Richard Lippmann, Andrew J. Clark:
Recent Advances in Intrusion Detection, 10th International Symposium, RAID 2007, Gold Goast, Australia, September 5-7, 2007, Proceedings. Lecture Notes in Computer Science 4637, Springer 2007, ISBN 978-3-540-74319-4 [contents] - 2006
- [j15]Philip K. Chan, Richard Lippmann:
Machine Learning for Computer Security. J. Mach. Learn. Res. 7: 2669-2672 (2006) - [c37]Kyle Ingols, Richard Lippmann, Keith Piwowarski:
Practical Attack Graph Generation for Network Defense. ACSAC 2006: 121-130 - [c36]Seth E. Webster, Richard Lippmann, Marc A. Zissman:
Experience Using Active and Passive Mapping for Network Situational Awareness. NCA 2006: 19-26 - 2004
- [c35]Misha Zitser, Richard Lippmann, Tim Leek:
Testing static analysis tools using exploitable buffer overflows from open source code. SIGSOFT FSE 2004: 97-106 - [e3]Carla E. Brodley, Philip Chan, Richard Lippmann, William Yurcik:
1st ACM Workshop on Visualization and Data Mining for Computer Security, VizSEC/DMSEC 2004, Washington, DC, USA, October 29, 2004. ACM 2004, ISBN 1-58113-974-8 [contents] - 2002
- [c34]Richard Lippmann, Seth E. Webster, Douglas Stetson:
The Effect of Identifying Vulnerabilities and Patching Software on the Utility of Network Intrusion Detection. RAID 2002: 307-326 - [c33]Oleg Sheyner, Joshua W. Haines, Somesh Jha, Richard Lippmann, Jeannette M. Wing:
Automated Generation and Analysis of Attack Graphs. S&P 2002: 273-284 - 2001
- [j14]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): 275-281 (2001) - 2000
- [j13]Richard Lippmann, Joshua W. Haines, David J. Fried, Jonathan Korba, Kumar Das:
The 1999 DARPA off-line intrusion detection evaluation. Comput. Networks 34(4): 579-595 (2000) - [j12]Richard Lippmann, Robert K. Cunningham:
Improving intrusion detection performance using keyword selection and neural networks. Comput. Networks 34(4): 597-603 (2000) - [c32]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: 162-182
1990 – 1999
- 1999
- [c31]Richard Lippmann, Robert K. Cunningham:
Improving Intrusion Detection Performance using Keyword Selection and Neural Networks. Recent Advances in Intrusion Detection 1999 - [c30]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 - 1997
- [j11]John Lazzaro, John Wawrzynek, Richard P. Lippmann:
A micropower analog circuit implementation of hidden Markov model state decoding. IEEE J. Solid State Circuits 32(8): 1200-1209 (1997) - [j10]Richard P. Lippmann:
Speech recognition by machines and humans. Speech Commun. 22(1): 1-15 (1997) - [j9]Eric I. Chang, Richard P. Lippmann:
High-performance low-complexity wordspotting using neural networks. IEEE Trans. Signal Process. 45(11): 2864-2870 (1997) - [c29]Richard P. Lippmann, Beth A. Carlson:
Using missing feature theory to actively select features for robust speech recognition with interruptions, filtering and noise KN-37. EUROSPEECH 1997 - 1996
- [j8]Richard P. Lippmann:
Recognition by humans and machines: miles to go before we sleep. Speech Commun. 18(3): 247-248 (1996) - [j7]Richard P. Lippmann:
Accurate consonant perception without mid-frequency speech energy. IEEE Trans. Speech Audio Process. 4(1): 66 (1996) - [c28]Eric I. Chang, Richard P. Lippmann:
Improving wordspotting performance with artificially generated data. ICASSP 1996: 526-529 - [c27]John Lazzaro, John Wawrzynek, Richard Lippmann:
A Micropower Analog VLSI HMM State Decoder for Wordspotting. NIPS 1996: 727-733 - 1995
- [j6]Charles R. Jankowski Jr., Hoang-Doan H. Vo, Richard P. Lippmann:
A comparison of signal processing front ends for automatic word recognition. IEEE Trans. Speech Audio Process. 3(4): 286-293 (1995) - 1994
- [j5]Richard Lippmann:
Book Review: Neural Networks, a Comprehensive Foundation, by Simon Haykin. Int. J. Neural Syst. 5(4): 363-364 (1994) - [c26]Richard Lippmann, Eric I. Chang, Charles R. Jankowski Jr.:
Wordspotter training using figure-of-merit back propagation. ICASSP (1) 1994: 389-392 - [c25]Eric I. Chang, Richard Lippmann:
Using Voice Transformations to Create Additional Training Talkers for Word Spotting. NIPS 1994: 875-882 - [c24]Richard Lippmann, Linda Kukolich, David Shahian:
Predicting the Risk of Complications in Coronary Artery Bypass Operations using Neural Networks. NIPS 1994: 1055-1062 - 1993
- [c23]Richard P. Lippmann, Elliot Singer:
Hybrid neural-network/HMM approaches to wordspotting. ICASSP (1) 1993: 565-568 - [c22]Richard P. Lippmann:
Evaluation and Analysis of Auditory Model Front Ends for Robust Speech Recognition Program Summary. HLT 1993 - [c21]Eric I. Chang, Richard Lippmann:
Figure of Merit Training for Detection and Spotting. NIPS 1993: 1019-1026 - 1992
- [c20]Charles R. Jankowski Jr., Richard P. Lippmann:
Comparison of Auditory Models for Robust Speech Recognition. HLT 1992 - [c19]Richard P. Lippmann:
Evaluation and Analysis of Auditory Model Front Ends for Robust Speech Recognition Program Summary. HLT 1992 - [c18]Eric I. Chang, Richard Lippmann:
A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively. NIPS 1992: 139-146 - [e2]John E. Moody, Stephen Jose Hanson, Richard Lippmann:
Advances in Neural Information Processing Systems 4, [NIPS Conference, Denver, Colorado, USA, December 2-5, 1991]. Morgan Kaufmann 1992, ISBN 1-55860-222-4 [contents] - 1991
- [j4]Michael D. Richard, Richard P. Lippmann:
Neural Network Classifiers Estimate Bayesian a posteriori Probabilities. Neural Comput. 3(4): 461-483 (1991) - [c17]Richard C. Rose, Eric I. Chang, Richard Lippmann:
Techniques for information retrieval from voice messages. ICASSP 1991: 317-320 - [c16]Elliot Singer, Richard Lippmann:
Improved Hidden Markov Models Speech Recognition Using Radial Basis Function Networks. NIPS 1991: 159-166 - [e1]Richard Lippmann, John E. Moody, David S. Touretzky:
Advances in Neural Information Processing Systems 3, [NIPS Conference, Denver, Colorado, USA, November 26-29, 1990]. Morgan Kaufmann 1991, ISBN 1-55860-184-8 [contents] - 1990
- [c15]Thao K. P. Nguyen, Richard P. Lippmann, Bernard Gold, Douglas B. Paul:
A physiologically motivated front-end for speech recognition. IJCNN 1990: 503-508 - [c14]Eric I. Chang, Richard P. Lippmann, D. W. Tong:
Using genetic algorithms to select and create features for pattern classification. IJCNN 1990: 747-752 - [c13]Eric I. Chang, Richard Lippmann:
Using Genetic Algorithms to Improve Pattern Classification Performance. NIPS 1990: 797-803 - [c12]Kenney Ng, Richard Lippmann:
Practical Characteristics of Neural Network and Conventional Patterns Classifiers. NIPS 1990: 970-976
1980 – 1989
- 1989
- [j3]Richard P. Lippmann:
Pattern classification using neural networks. IEEE Commun. Mag. 27(11): 47-50 (1989) - [j2]Richard P. Lippmann:
Review of Neural Networks for Speech Recognition. Neural Comput. 1(1): 1-38 (1989) - [c11]Yuchun Lee, Richard Lippmann:
Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems. NIPS 1989: 168-177 - [c10]William Y. Huang, Richard Lippmann:
HMM Speech Recognition with Neural Net Discrimination. NIPS 1989: 194-202 - 1988
- [j1]Richard P. Lippmann:
An introduction to computing with neural nets. SIGARCH Comput. Archit. News 16(1): 7-25 (1988) - [c9]Richard P. Lippmann:
Neural nets for computing. ICASSP 1988: 1-6 - [c8]Bernard Gold, Richard P. Lippmann:
A neural network for isolated-word recognition. ICASSP 1988: 44-47 - [c7]Richard P. Lippmann, Edward A. Martin:
Discriminant clustering using an HMM isolated-word recognizer. ICASSP 1988: 48-51 - [c6]Edward A. Martin, Richard P. Lippmann, Douglas B. Paul:
Dynamic adaptation of Hidden Markov models for robust isolated-word speech recognition. ICASSP 1988: 52-54 - [c5]William Huang, Richard Lippmann, Ben Gold:
A neural net approach to speech recognition. ICASSP 1988: 99-102 - [c4]Richard Lippmann, Paul Beckman:
Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian Noise. NIPS 1988: 124-132 - 1987
- [c3]Richard P. Lippmann, Edward A. Martin, Douglas B. Paul:
Multi-style training for robust isolated-word speech recognition. ICASSP 1987: 705-708 - [c2]Edward A. Martin, Richard P. Lippmann, Douglas B. Paul:
Two-stage discriminant analysis for improved isolated-word recognition. ICASSP 1987: 709-712 - [c1]William Y. Huang, Richard Lippmann:
Neural Net and Traditional Classifiers. NIPS 1987: 387-396
1970 – 1979
- 1978
- [b1]Richard P. Lippmann:
The effect of amplitude compression on the intelligibility of speech for persons with sensorineural hearing loss. Massachusetts Institute of Technology, Cambridge, MA, USA, 1978
Coauthor Index
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