Jason L. Pacheco
Orcid: 0000-0003-1711-1041Affiliations:
- University of Arizona, Tucson, AZ, USA
- MIT CSAIL, MA, USA (former)
According to our database1,
Jason L. Pacheco
authored at least 22 papers
between 2009 and 2024.
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Bibliography
2024
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
IEEE Access, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
CoRR, 2022
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
2021
Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces.
Proceedings of the IEEE Security and Privacy Workshops, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2011
Performance analysis of Adaptive Probabilistic Multi-hypothesis Tracking with the Metron data sets.
Proceedings of the 14th International Conference on Information Fusion, 2011
2009
Performance analysis of the Probabilistic Multi-hypothesis Tracking algorithm on the SEABAR data sets.
Proceedings of the 12th International Conference on Information Fusion, 2009