Richard Lippmann

Pavel Laskov, Richard Lippmann: Machine learning in adversarial environments. Machine Learning 81(2): 115-119 (2010)

Kevin M. Carter, Richard Lippmann, Stephen W. Boyer: Temporally oblivious anomaly detection on large networks using functional peers. Internet Measurement Conference 2010: 465-471

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

Leevar Williams, Richard Lippmann, Kyle Ingols: GARNET: A Graphical Attack Graph and Reachability Network Evaluation Tool. VizSEC 2008: 44-59

Richard Lippmann, Engin Kirda, Ari Trachtenberg (Eds.): 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

Leevar Williams, Richard Lippmann, Kyle Ingols: An Interactive Attack Graph Cascade and Reachability Display. VizSEC 2007: 221-236

Christopher Krügel, Richard Lippmann, Andrew Clark (Eds.): 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

Philip K. Chan, Richard Lippmann: Machine Learning for Computer Security. Journal of Machine Learning Research 6: 2669-2672 (2006)

Kyle Ingols, Richard Lippmann, Keith Piwowarski: Practical Attack Graph Generation for Network Defense. ACSAC 2006: 121-130

Seth E. Webster, Richard Lippmann, Marc A. Zissman: Experience Using Active and Passive Mapping for Network Situational Awareness. NCA 2006: 19-26

Misha Zitser, Richard Lippmann, Tim Leek: Testing static analysis tools using exploitable buffer overflows from open source code. SIGSOFT FSE 2004: 97-106

Carla E. Brodley, Philip Chan, Richard Lippmann, William Yurcik (Eds.): Workshop on Visualization and Data Mining for Computer Security (VizSEC/DMSEC 2004), 29 October 2004, Washington DC, USA. ACM 2004, isbn 1-58113-974-8

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

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

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)

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)

Richard Lippmann, Robert K. Cunningham: Improving intrusion detection performance using keyword selection and neural networks. Computer Networks 34(4): 597-603 (2000)

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

Richard Lippmann, Robert K. Cunningham: Improving Intrusion Detection Performance using Keyword Selection and Neural Networks. Recent Advances in Intrusion Detection 1999

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

Richard P. Lippmann: Speech recognition by machines and humans. Speech Communication 22(1): 1-15 (1997)

Eric I. Chang, Richard P. Lippmann: High-performance low-complexity wordspotting using neural networks. IEEE Transactions on Signal Processing 45(11): 2864-2870 (1997)

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

Richard P. Lippmann: Recognition by humans and machines: miles to go before we sleep. Speech Communication 18(3): 247-248 (1996)

Richard P. Lippmann: Accurate consonant perception without mid-frequency speech energy. IEEE Transactions on Speech and Audio Processing 4(1): 66 (1996)

John Lazzaro, John Wawrzynek, Richard Lippmann: A Micropower Analog VLSI HMM State Decoder for Wordspotting. NIPS 1996: 727-733

Charles R. Jankowski Jr., Hoang-Doan H. Vo, Richard P. Lippmann: A comparison of signal processing front ends for automatic word recognition. IEEE Transactions on Speech and Audio Processing 3(4): 286-293 (1995)

Richard Lippmann: Book Review: Neural Networks, a Comprehensive Foundation, by Simon Haykin. Int. J. Neural Syst. 5(4): 363-364 (1994)

Eric I. Chang, Richard Lippmann: Using Voice Transformations to Create Additional Training Talkers for Word Spotting. NIPS 1994: 875-882

Richard Lippmann, Linda Kukolich, David Shahian: Predicting the Risk of Complications in Coronary Artery Bypass Operations using Neural Networks. NIPS 1994: 1055-1062

Eric I. Chang, Richard Lippmann: Figure of Merit Training for Detection and Spotting. NIPS 1993: 1019-1026

Eric I. Chang, Richard Lippmann: A Boundary Hunting Radial Basis Function Classifier which Allocates Centers Constructively. NIPS 1992: 139-146

John E. Moody, Stephen Jose Hanson, Richard Lippmann (Eds.): Advances in Neural Information Processing Systems 4, [NIPS Conference, Denver, Colorado, USA, December 2-5, 1991]. Morgan Kaufmann 1992, isbn 1-55860-222-4

Elliot Singer, Richard Lippmann: Improved Hidden Markov Models Speech Recognition Using Radial Basis Function Networks. NIPS 1991: 159-166

Richard Lippmann, John E. Moody, David S. Touretzky (Eds.): Advances in Neural Information Processing Systems 3, [NIPS Conference, Denver, Colorado, USA, November 26-29, 1990]. Morgan Kaufmann 1991, isbn 1-55860-184-8

Eric I. Chang, Richard Lippmann: Using Genetic Algorithms to Improve Pattern Classification Performance. NIPS 1990: 797-803

Kenney Ng, Richard Lippmann: Practical Characteristics of Neural Network and Conventional Patterns Classifiers. NIPS 1990: 970-976

Yuchun Lee, Richard Lippmann: Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems. NIPS 1989: 168-177

William Y. Huang, Richard Lippmann: HMM Speech Recognition with Neural Net Discrimination. NIPS 1989: 194-202

Richard Lippmann, Paul Beckman: Adaptive Neural Net Preprocessing for Signal Detection in Non-Gaussian Noise. NIPS 1988: 124-132

William Y. Huang, Richard Lippmann: Neural Net and Traditional Classifiers. NIPS 1987: 387-396