David J. Miller
According to our database^{1},
David J. Miller
authored at least 124 papers
between 1992 and 2020.
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Bibliography
2020
Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against Attacks.
Proc. IEEE, 2020
Proc. IEEE, 2020
LRED: Efficient PostTraining Detection of Imperceptible Backdoor Attacks without Access to the Training Set.
CoRR, 2020
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing.
CoRR, 2020
Revealing Perceptible Backdoors in DNNs, Without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Revealing Backdoors, PostTraining, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers.
Proceedings of the Dynamic Data Driven Applications Systems, 2020
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation.
Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020
2019
Exploiting the value of class labels on highdimensional feature spaces: topic models for semisupervised document classification.
Pattern Anal. Appl., 2019
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time.
Neural Comput., 2019
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic.
CoRR, 2019
Notes on Lipschitz Margin, Lipschitz Margin Training, and Lipschitz Margin pValues for Deep Neural Network Classifiers.
CoRR, 2019
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks.
CoRR, 2019
A Benchmark Study Of Backdoor Data Poisoning Defenses For Deep Neural Network Classifiers And A Novel Defense.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019
2018
Detection of Sources in NonNegative Blind Source Separation by Minimum Description Length Criterion.
IEEE Trans. Neural Networks Learn. Syst., 2018
A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters.
CoRR, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and LabelScarce Classes.
IEEE Trans. Neural Networks Learn. Syst., 2017
Neural Comput., 2017
Automated Functional Analysis of Astrocytes from Chronic TimeLapse Calcium Imaging Data.
Frontiers Neuroinformatics, 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the TwentySixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
A simulation framework for uneconomic virtual bidding in dayahead electricity markets.
Proceedings of the 2017 American Control Conference, 2017
2016
IEEE Trans. Knowl. Data Eng., 2016
A simulation framework for uneconomic virtual bidding in dayahead electricity markets: Short talk.
SIGMETRICS Perform. Evaluation Rev., 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
IPlevel fast rerouting for robustness to mass failure events using a hybrid bandwidth and reliability cost metric.
Proceedings of the 2016 IEEE Military Communications Conference, 2016
FASP: A machine learning approach to functional astrocyte phenotyping from timelapse calcium imaging data.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Exploiting the value of class labels in topic models for semisupervised document classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the TwentyFifth International Joint Conference on Artificial Intelligence, 2016
Semisupervised MultiLabel Topic Models for Document Classification and Sentence Labeling.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
Multicategory Crowdsourcing Accounting for Variable Task Difficulty, Worker Skill, and Worker Intention.
IEEE Trans. Knowl. Data Eng., 2015
Peer Peer Netw. Appl., 2015
Entropy, 2015
EURASIP J. Adv. Signal Process., 2015
Detecting clusters of anomalies on lowdimensional feature subsets with application to network traffic flow data.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
2014
InstanceLevel ConstraintBased Semisupervised Learning With Imposed SpacePartitioning.
IEEE Trans. Neural Networks Learn. Syst., 2014
CoRR, 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the 9th International Workshop on Feedback Computing, 2014
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014
2013
Schema matching and embedded value mapping for databases with opaque column names and mixed continuous and discretevalued data fields.
ACM Trans. Database Syst., 2013
Multicategory Crowdsourcing Accounting for Plurality in Worker Skill and Intention, Task Difficulty, and Task Heterogeneity.
CoRR, 2013
Latent InterestGroup Discovery and Management by PeertoPeer Online Social Networks.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Defeating Tyranny of the Masses in Crowdsourcing: Accounting for LowSkilled and Adversarial Workers.
Proceedings of the Decision and Game Theory for Security  4th International Conference, 2013
2012
IEEE Trans. Neural Networks Learn. Syst., 2012
Improved Generative Semisupervised Learning Based on Finely Grained ComponentConditional Class Labeling.
Neural Comput., 2012
J. Comput. Biol., 2012
Sequential anomaly detection in a batch with growing number of tests: Application to network intrusion detection.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012
2011
IEEE Signal Process. Mag., 2011
A Flow Classifier with TamperResistant Features and an Evaluation of Its Portability to New Domains.
IEEE J. Sel. Areas Commun., 2011
Proceedings of the 4th Workshop on Cyber Security Experimentation and Test, 2011
2010
Marginmaximizing feature elimination methods for linear and nonlinear kernelbased discriminant functions.
IEEE Trans. Neural Networks, 2010
Uninterpreted Schema Matching with Embedded Value Mapping under Opaque Column Names and Data Values.
IEEE Trans. Knowl. Data Eng., 2010
Joint Parsimonious Modeling and Model Order Selection for Multivariate Gaussian Mixtures.
IEEE J. Sel. Top. Signal Process., 2010
Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases.
J. Mach. Learn. Res., 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010
2009
Comput. Methods Programs Biomed., 2009
An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions.
Bioinform., 2009
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009
2008
Extensions of transductive learning for distributed ensemble classification and application to biometric authentication.
Neurocomputing, 2008
Decision Aggregation in Distributed Classification by a Transductive Extension of Maximum Entropy/Improved Iterative Scaling.
EURASIP J. Adv. Signal Process., 2008
caBIG<sup>TM</sup> VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data.
BMC Bioinform., 2008
A transductive extension of maximum entropy/iterative scaling for decision aggregation in distributed classification.
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
An Extension of Iterative Scaling for Decision and Data Aggregation in Ensemble Classification.
J. VLSI Signal Process., 2007
Guest Editorial for Special Issue on the 2005 IEEE Workshop on Machine Learning for Signal Processing.
J. VLSI Signal Process., 2007
Neural Comput., 2007
2006
Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection.
IEEE Trans. Signal Process., 2006
Efficient Mining of the Multidimensional Traffic Cluster Hierarchy for Digesting, Visualization, and Anomaly Identification.
IEEE J. Sel. Areas Commun., 2006
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006
2005
Neural Comput., 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005
2004
J. VLSI Signal Process., 2004
J. VLSI Signal Process., 2004
Joint sourcechannel decoding of predictively and nonpredictively encoded sources: a twostage estimation approach.
IEEE Trans. Commun., 2004
Commun. ACM, 2004
A deterministic, annealingbased approach for learning and model selection in finite mixture models.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2003
A sequencebased extension of meanfield annealing using the forward/backward algorithm: application to image segmentation.
IEEE Trans. Signal Process., 2003
A Mixture Model and EMBased Algorithm for Class Discovery, Robust Classification, and Outlier Rejection in Mixed Labeled/Unlabeled Data Sets.
IEEE Trans. Pattern Anal. Mach. Intell., 2003
A mixture model framework for class discovery and outlier detection in mixed labeled/unlabeled data sets.
Proceedings of the NNSP 2003, 2003
A mixture model and EM algorithm for robust classification, outlier rejection, and class discovery.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
2002
Signal Process. Image Commun., 2002
A sequencebased generalization of meanfield annealing using the Forward/Backward algorithm: Application to image segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
Proceedings of the 54th IEEE Vehicular Technology Conference, 2001
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
General statistical inference for discrete and mixed spaces by an approximate application of the maximum entropy principle.
IEEE Trans. Neural Networks Learn. Syst., 2000
Joint sourcechannel decoding for variablelength encoded data by exact and approximate MAP sequence estimation.
IEEE Trans. Commun., 2000
Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary LowerOrder Probability Constraints: Application to Statistical Classification.
Neural Comput., 2000
1999
IEEE Trans. Signal Process., 1999
Improved image decoding over noisy channels using minimum meansquared estimation and a Markov mesh.
IEEE Trans. Image Process., 1999
A Deterministic Annealing Approach for Parsimonious Design of Piecewise Regression Models.
IEEE Trans. Pattern Anal. Mach. Intell., 1999
Approximate maximum entropy joint feature inference for discrete space classification.
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
Improved Joint SourceChannel Decoding for VariableLength Encoded Data Using Soft Decisions and MMSE Estimation.
Proceedings of the Data Compression Conference, 1999
1998
A sequencebased approximate MMSE decoder for source coding over noisy channels using discrete hidden Markov models.
IEEE Trans. Commun., 1998
Neural Comput., 1998
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998
1997
IEEE Trans. Signal Process., 1997
Image Decoding Over Noisy Channels Using Minimum MeanSquared Estimation and a Markov Mesh.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1996
IEEE Trans. Signal Process., 1996
IEEE Trans. Image Process., 1996
Neural Comput., 1996
A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996
1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
1994
IEEE Trans. Commun., 1994
Pattern Recognit. Lett., 1994
Deterministic annealing for trellis quantizer and HMM design using BaumWelch reestimation.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994
EntropyConstrained TreeStructured Vector Quantizer Design by the Minimum Cross Entropy Principle.
Proceedings of the IEEE Data Compression Conference, 1994
1993
Proceedings of the IEEE Data Compression Conference, 1993
1992
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992