David Jonathan Miller

    • 1788 Citations
    • 24 h-Index
    1992 …2020

    Research output per year

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    Research Output

    2020

    Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses against Attacks

    Miller, D. J., Xiang, Z. & Kesidis, G., Mar 2020, In : Proceedings of the IEEE. 108, 3, p. 402-433 32 p., 9013065.

    Research output: Contribution to journalArticle

    2019

    A Benchmark Study of Backdoor Data Poisoning Defenses for Deep Neural Network Classifiers and A Novel Defense

    Xiang, Z., Miller, D. J. & Kesidis, G., Oct 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing, MLSP 2019. IEEE Computer Society, 8918908. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2019-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Asymmetric independence modeling identifies novel gene-environment interactions

    Yu, G., Miller, D. J., Wu, C. T., Hoffman, E. P., Liu, C., Herrington, D. M. & Wang, Y., Dec 1 2019, In : Scientific reports. 9, 1, 2455.

    Research output: Contribution to journalArticle

    Open Access

    Flexible inference for cyberbully incident detection

    Zhong, H., Miller, D. J. & Squicciarini, A., Jan 1 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Brefeld, U., Marascu, A., Pinelli, F., Curry, E., MacNamee, B., Hurley, N., Daly, E. & Berlingerio, M. (eds.). Springer Verlag, p. 356-371 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learned Neural Iterative Decoding for Lossy Image Compression Systems

    Ororbia, A. G., Mali, A., Wu, J., O'Connell, S., Dreese, W., Miller, D. & Giles, C. L., May 10 2019, Proceedings - DCC 2019: 2019 Data Compression Conference. Marcellin, M. W., Bilgin, A., Storer, J. A. & Serra-Sagrista, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3-12 10 p. 8712688. (Data Compression Conference Proceedings; vol. 2019-March).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations

    Toward Image Privacy Classification and Spatial Attribution of Private Content

    Zhong, H., Li, H., Squicciarini, A., Rajtmajer, S. & Miller, D., Dec 2019, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1351-1360 10 p. 9006510. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers

    Wang, Y., Miller, D. J. & Kesidis, G., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8063-8066 4 p. 8682578. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time

    Miller, D. J., Wang, Y. & Kesidis, G., Aug 1 2019, In : Neural computation. 31, 8, p. 1624-1670 47 p.

    Research output: Contribution to journalArticle

    2018
    1 Scopus citations

    Anomaly detection of attacks (ADA) on DNN classifiers at test time

    Miller, D. J., Wang, Y. & Kesidis, G., Oct 31 2018, 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018 - Proceedings. Pustelnik, N., Tan, Z-H., Ma, Z. & Larsen, J. (eds.). IEEE Computer Society, 8517069. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2018-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
    1 Scopus citations

    Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion

    Lin, C. H., Chi, C. Y., Chen, L., Miller, D. J. & Wang, Y., Sep 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 9, p. 4022-4037 16 p., 8057601.

    Research output: Contribution to journalArticle

    4 Scopus citations

    Locally optimal, delay-tolerant predictive source coding

    Xiang, Z. & Miller, D. J., May 21 2018, 2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. (2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Toward automated multiparty privacy conflict detection

    Zhong, H., Squicciarini, A. & Miller, D., Oct 17 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, p. 1811-1814 4 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations

    Unsupervised parsimonious cluster-based anomaly detection (PCAD)

    Miller, D. J., Kesidis, G. & Qiu, Z., Oct 31 2018, 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018 - Proceedings. Pustelnik, N., Tan, Z-H., Ma, Z. & Larsen, J. (eds.). IEEE Computer Society, 8517014. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2018-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
    2017

    Adversarial learning: A critical review and active learning study

    Miller, D. J., Hu, X., Qiu, Z. & Kesidis, G., Dec 5 2017, 2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Proceedings. Ueda, N., Chien, J-T., Matsui, T., Larsen, J. & Watanabe, S. (eds.). IEEE Computer Society, p. 1-6 6 p. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2017-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations

    A Group-Based personalized model for image privacy classification and labeling

    Zhong, H., Squicciarini, A., Miller, D. & Caragea, C., Jan 1 2017, 26th International Joint Conference on Artificial Intelligence, IJCAI 2017. Sierra, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 3952-3958 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Scopus citations

    A locally optimal algorithm for estimating a generating partition from an observed time series

    Miller, D. J., Ghalyan, N. F. & Ray, A., Dec 5 2017, 2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Proceedings. Ueda, N., Chien, J-T., Matsui, T., Larsen, J. & Watanabe, S. (eds.). IEEE Computer Society, p. 1-6 6 p. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2017-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
    6 Scopus citations

    A simulation framework for uneconomic virtual bidding in day-ahead electricity markets

    Shan, Y., Lo Prete, C., Kesidis, G. & Miller, D. J., Jun 29 2017, 2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., p. 2705-2712 8 p. 7963361

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Automated functional analysis of astrocytes from chronic time-lapse calcium imaging data

    Wang, Y., Shi, G., Miller, D. J., Wang, Y., Wang, C., Broussard, G., Wang, Y., Tian, L. & Yu, G., Jul 14 2017, In : Frontiers in Neuroinformatics. 11, 48.

    Research output: Contribution to journalArticle

    1 Scopus citations

    Flow based botnet detection through semi-supervised active learning

    Qiu, Z., Miller, D. J. & Kesidis, G., Jun 16 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2387-2391 5 p. 7952584. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Scopus citations

    HIV distal neuropathic pain is associated with smaller ventral posterior cingulate cortex

    The CHARTER Group, Jan 1 2017, In : Pain Medicine (United States). 18, 3, p. 428-440 13 p.

    Research output: Contribution to journalArticle

    5 Scopus citations

    Semisupervised, multilabel, multi-instance learning for structured data

    Soleimani, H. & Miller, D. J., Apr 1 2017, In : Neural Computation. 29, 4, p. 1053-1102 50 p.

    Research output: Contribution to journalLetter

    3 Scopus citations
    2016

    ATD: Anomalous Topic Discovery in High Dimensional Discrete Data

    Soleimani, H. & Miller, D. J., Sep 1 2016, In : IEEE Transactions on Knowledge and Data Engineering. 28, 9, p. 2267-2280 14 p., 7463492.

    Research output: Contribution to journalArticle

    5 Scopus citations

    Content-driven detection of cyberbullying on the instagram social network

    Zhong, H., Li, H., Squicciarini, A., Rajtmajer, S., Griffin, C., Miller, D. & Caragea, C., Jan 1 2016, In : IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 3952-3958 7 p.

    Research output: Contribution to journalConference article

    27 Scopus citations

    Convex Analysis of Mixtures for Separating Non-negative Well-grounded Sources

    Zhu, Y., Wang, N., Miller, D. J. & Wang, Y., Dec 6 2016, In : Scientific reports. 6, 38350.

    Research output: Contribution to journalArticle

    3 Scopus citations

    Exploiting the value of class labels in topic models for semi-supervised document classification

    Soleimani, H. & Miller, D. J., Oct 31 2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. Institute of Electrical and Electronics Engineers Inc., p. 4025-4031 7 p. 7727723. (Proceedings of the International Joint Conference on Neural Networks; vol. 2016-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    FASP: A machine learning approach to functional astrocyte phenotyping from time-lapse calcium imaging data

    Wang, Y., Shi, G., Miller, D. J., Wang, Y., Broussard, G., Wang, Y., Tian, L. & Yu, G., Jun 15 2016, 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, p. 351-354 4 p. 7493281. (Proceedings - International Symposium on Biomedical Imaging; vol. 2016-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations

    Graphical time warping for joint alignment of multiple curves

    Wang, Y., Miller, D. J., Poskanzer, K., Wang, Y., Tian, L. & Yu, G., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 3655-3663 9 p.

    Research output: Contribution to journalConference article

    4 Scopus citations

    IP-level fast re-routing for robustness to mass failure events using a hybrid bandwidth and reliability cost metric

    Kesidis, G., Miller, D. J. & Qiu, Z., Dec 22 2016, MILCOM 2016 - 2016 IEEE Military Communications Conference. Institute of Electrical and Electronics Engineers Inc., p. 812-816 5 p. 7795429. (Proceedings - IEEE Military Communications Conference MILCOM).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Semi-supervised multi-label topic models for document classification and sentence labeling

    Soleimani, H. & Miller, D. J., Oct 24 2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 105-114 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 24-28-October-2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Scopus citations

    T2 map signal variation predicts symptomatic osteoarthritis progression: data from the Osteoarthritis Initiative

    Zhong, H., Miller, D. J. & Urish, K. L., Jul 1 2016, In : Skeletal Radiology. 45, 7, p. 909-913 5 p.

    Research output: Contribution to journalArticle

    12 Scopus citations
    2015

    A stock market forecasting model combining two-directional two-dimensional principal component analysis and radial basis function neural network

    Guo, Z., Wang, H., Yang, J. & Miller, D. J., Apr 7 2015, In : PloS one. 10, 4, e0122385.

    Research output: Contribution to journalArticle

    17 Scopus citations

    Detecting clusters of anomalies on low-dimensional feature subsets with application to network traffic flow data

    Qiu, Z., Miller, D. J. & Kesidis, G., Nov 10 2015, 2015 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2015. Erdogmus, D., Kozat, S., Larsen, J. & Akcakaya, M. (eds.). IEEE Computer Society, 7324326. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2015-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations

    Generation bidding game with potentially false attestation of flexible demand

    Shan, Y., Raghuram, J., Kesidis, G., Miller, D. J., Scaglione, A., Rowe, J. & Levitt, K., Dec 1 2015, In : Eurasip Journal on Advances in Signal Processing. 2015, 1

    Research output: Contribution to journalArticle

    2 Scopus citations
    25 Scopus citations

    On an objective basis for the maximum entropy principle

    Miller, D. J. & Soleimani, H., Jan 1 2015, In : Entropy. 17, 1, p. 401-406 6 p.

    Research output: Contribution to journalLetter

    Parsimonious topic models with salient word discovery

    Soleimani, H. & Miller, D. J., Mar 1 2015, In : IEEE Transactions on Knowledge and Data Engineering. 27, 3, p. 824-837 14 p., 6871387.

    Research output: Contribution to journalArticle

    11 Scopus citations
    2014

    Actively learning to distinguish suspicious from innocuous anomalies in a batch of vehicle tracks

    Qiu, Z., Miller, D. J., Stieber, B. & Fair, T., Jan 1 2014, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V. SPIE, 90790G. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 9079).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Detecting anomalous latent classes in a batch of network traffic flows

    Kocak, F., Miller, D. J. & Kesidis, G., Jan 1 2014.

    Research output: Contribution to conferencePaper

    4 Scopus citations

    HIV-associated distal neuropathic pain is associated with smaller total cerebral cortical gray matter

    Keltner, J. R., Fennema-Notestine, C., Vaida, F., Wang, D., Franklin, D. R., Dworkin, R. H., Sanders, C., McCutchan, J. A., Archibald, S. L., Miller, D. J., Kesidis, G., Cushman, C., Kim, S. M., Abramson, I., Taylor, M. J., Theilmann, R. J., Julaton, M. D., Notestine, R. J., Corkran, S., Cherner, M. & 13 others, Duarte, N. A., Alexander, T., Robinson-Papp, J., Gelman, B. B., Simpson, D. M., Collier, A. C., Marra, C. M., Morgello, S., Brown, G., Grant, I., Atkinson, J. H., Jernigan, T. L. & Ellis, R. J., Jun 2014, In : Journal of neurovirology. 20, 3, p. 209-218 10 p.

    Research output: Contribution to journalArticle

    11 Scopus citations

    Instance-level constraint-based semisupervised learning with imposed space-partitioning

    Raghuram, J., Miller, D. J. & Kesidis, G., Jan 1 2014, In : IEEE Transactions on Neural Networks and Learning Systems. 25, 8, p. 1520-1537 18 p., 6695785.

    Research output: Contribution to journalArticle

    2 Scopus citations

    Sparse topic models by parameter sharing

    Soleimani, H. & Miller, D. J., Nov 14 2014, IEEE International Workshop on Machine Learning for Signal Processing, MLSP. Adali, T., Larsen, J., Mboup, M. & Moreau, E. (eds.). IEEE Computer Society, 6958911. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Scopus citations
    2013

    A generative semi-supervised model for multi-view learning when some views are label-free

    Jin, G., Raich, R. & Miller, D. J., Oct 18 2013, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 3302-3306 5 p. 6638269. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Scopus citations

    Defeating tyranny of the masses in crowdsourcing: Accounting for low-skilled and adversarial workers

    Kurve, A., Miller, D. J. & Kesidis, G., Jan 1 2013, Decision and Game Theory for Security - 4th International Conference, GameSec 2013, Proceedings. Springer Verlag, p. 140-153 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8252 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Discriminant and Network Analysis to Study Origin of Cancer

    Chen, L., Tian, Y., Yu, G., Miller, D. J., Shih, I. M. & Wang, Y., Apr 8 2013, Statistical Diagnostics for Cancer: Analyzing High-Dimensional Data. Wiley-VCH, Vol. 3. p. 193-214 22 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter