Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where David Jonathan Miller is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 6 Finished
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SBIR Phase I: Post-training deep neural networks certification against backdoor data poisoning attacks
Miller, D. J., Kesidis, G. & Li, X.
4/1/22 → 6/30/23
Project: Research project
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TWC: Medium: Collaborative: Towards Securing Coupled Financial and Power Systems in the Next Generation Smart Grid
9/1/12 → 8/31/17
Project: Research project
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NRT: Collaborative research: Testing and Benchmarking Methodologies for Future Network Security Mechanisms
Kesidis, G., Miller, D. J. & Liu, P.
9/1/03 → 8/31/08
Project: Research project
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Maximum Entropy Model Learning for Classification and More General Inference Tasks: Large-scale Applications and Extensions
9/1/00 → 8/31/05
Project: Research project
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Anomaly detection of adversarial examples using class-conditional generative adversarial networks
Wang, H., Miller, D. J. & Kesidis, G., Jan 2023, In: Computers and Security. 124, 102956.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Deep Learning in Biological Image and Signal Processing
Meijering, E., Calhoun, V. D., Menegaz, G., Miller, D. J. & Ye, J. C., Mar 1 2022, In: IEEE Signal Processing Magazine. 39, 2, p. 24-26 3 p.Research output: Contribution to journal › Editorial › peer-review
Open Access5 Scopus citations -
DETECTING BACKDOOR ATTACKS AGAINST POINT CLOUD CLASSIFIERS
Xiang, Z., Miller, D. J., Chen, S., Li, X. & Kesidis, G., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3159-3163 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
POST-TRAINING DETECTION OF BACKDOOR ATTACKS FOR TWO-CLASS AND MULTI-ATTACK SCENARIOS
Xiang, Z., Miller, D. J. & Kesidis, G., 2022.Research output: Contribution to conference › Paper › peer-review
6 Scopus citations -
TEST-TIME DETECTION OF BACKDOOR TRIGGERS FOR POISONED DEEP NEURAL NETWORKS
Li, X., Xiang, Z., Miller, D. J. & Kesidis, G., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3333-3337 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations