Richard Lippmann

2007
28		Christopher Krügel, Richard Lippmann, Andrew Clark: Recent Advances in Intrusion Detection, 10th International Symposium, RAID 2007, Gold Goast, Australia, September 5-7, 2007, Proceedings Springer 2007
2006
27	EE	Kyle Ingols, Richard Lippmann, Keith Piwowarski: Practical Attack Graph Generation for Network Defense. ACSAC 2006: 121-130
26	EE	Seth E. Webster, Richard Lippmann, Marc A. Zissman: Experience Using Active and Passive Mapping for Network Situational Awareness. NCA 2006: 19-26
25	EE	Philip K. Chan, Richard Lippmann: Machine Learning for Computer Security. Journal of Machine Learning Research 6: 2669-2672 (2006)
2004
24	EE	Misha Zitser, Richard Lippmann, Tim Leek: Testing static analysis tools using exploitable buffer overflows from open source code. SIGSOFT FSE 2004: 97-106
2002
23	EE	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: 273-284
22	EE	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
2001
21		Robert K. Cunningham, Richard Lippmann, Seth E. Webster: Detecting and displaying novel computer attacks with Macroscope. IEEE Transactions on Systems, Man, and Cybernetics, Part A 31(4): 275-281 (2001)
2000
20	EE	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
19	EE	Richard Lippmann, Joshua W. Haines, David J. Fried, Jonathan Korba, Kumar Das: The 1999 DARPA off-line intrusion detection evaluation. Computer Networks 34(4): 579-595 (2000)
18	EE	Richard Lippmann, Robert K. Cunningham: Improving intrusion detection performance using keyword selection and neural networks. Computer Networks 34(4): 597-603 (2000)
1999
17	EE	Richard Lippmann, Robert K. Cunningham: Improving Intrusion Detection Performance using Keyword Selection and Neural Networks. Recent Advances in Intrusion Detection 1999
16	EE	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
1996
15	EE	John Lazzaro, John Wawrzynek, Richard Lippmann: A Micropower Analog VLSI HMM State Decoder for Wordspotting. NIPS 1996: 727-733
1994
14	EE	Richard Lippmann, Linda Kukolich, David Shahian: Predicting the Risk of Complications in Coronary Artery Bypass Operations using Neural Networks. NIPS 1994: 1055-1062
13	EE	Eric I. Chang, Richard Lippmann: Using Voice Transformations to Create Additional Training Talkers for Word Spotting. NIPS 1994: 875-882
12	EE	Richard Lippmann: Book Review: Neural Networks, a Comprehensive Foundation, by Simon Haykin. Int. J. Neural Syst. 5(4): 363-364 (1994)
1993
11	EE	Eric I. Chang, Richard Lippmann: Figure of Merit Training for Detection and Spotting. NIPS 1993: 1019-1026
1992
10		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
9	EE	Eric I. Chang, Richard Lippmann: A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively. NIPS 1992: 139-146
1991
8		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
7	EE	Elliot Singer, Richard Lippmann: Improved Hidden Markov Models Speech Recognition Using Radial Basis Function Networks. NIPS 1991: 159-166
1990
6	EE	Eric I. Chang, Richard Lippmann: Using Genetic Algorithms to Improve Pattern Classification Performance. NIPS 1990: 797-803
5	EE	Kenney Ng, Richard Lippmann: Practical Characteristics of Neural Network and Conventional Patterns Classifiers. NIPS 1990: 970-976
1989
4	EE	Yuchun Lee, Richard Lippmann: Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems. NIPS 1989: 168-177
3	EE	William Y. Huang, Richard Lippmann: HMM Speech Recognition with Neural Net Discrimination. NIPS 1989: 194-202
1988
2	EE	Richard Lippmann, Paul Beckman: Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian Noise. NIPS 1988: 124-132
1987
1	EE	William Y. Huang, Richard Lippmann: Neural Net and Traditional Classifiers. NIPS 1987: 387-396

Coauthor Index

1	Paul Beckman	[2]
2	Philip K. Chan	[25]
3	Eric I. Chang	[6] [9] [11] [13]
4	Andrew Clark	[28]
5	Robert K. Cunningham	[16] [17] [18] [21]
6	Kumar Das	[19] [20]
7	David J. Fried	[16] [19] [20]
8	Isaac Graf	[16]
9	Joshua W. Haines	[19] [20] [23]
10	Stephen Jose Hanson	[10]
11	William Y. Huang	[1] [3]
12	Kyle Ingols	[27]
13	Somesh Jha	[23]
14	Kris R. Kendall	[16]
15	Jonathan Korba	[19] [20]
16	Christopher Krügel (Christopher Kruegel)	[28]
17	Linda Kukolich	[14]
18	John Lazzaro	[15]
19	Yuchun Lee	[4]
20	Tim Leek	[24]
21	John E. Moody	[8] [10]
22	Kenney Ng	[5]
23	Keith Piwowarski	[27]
24	David Shahian	[14]
25	Oleg Sheyner	[23]
26	Elliot Singer	[7]
27	Douglas Stetson	[22]
28	David S. Touretzky	[8]
29	John Wawrzynek	[15]
30	Seth E. Webster	[16] [21] [22] [26]
31	Jeannette M. Wing	[23]
32	Marc A. Zissman	[16] [26]
33	Misha Zitser	[24]

Colors in the list of coauthors