Jason Matterer

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All published works

Action	Title	Year	Authors
+ PDF Chat	Mahalanobis-Aware Training for Out-of-Distribution Detection	2024	Connor Mclaughlin Jason Matterer Michael Yee
+ PDF Chat	Poisoning Network Flow Classifiers	2023	Giorgio Severi Simona Boboila Alina Oprea John T. Holodnak Kendra Kratkiewicz Jason Matterer
+	Poisoning Network Flow Classifiers	2023	Giorgio Severi Simona Boboila Alina Oprea John T. Holodnak Kendra Kratkiewicz Jason Matterer
+	Mahalanobis-Aware Training for Out-of-Distribution Detection	2023	Connor Mclaughlin Jason Matterer Michael Yee
+	Tools and Practices for Responsible AI Engineering	2022	Ryan Soklaski Justin Goodwin Olivia Brown Michael Yee Jason Matterer

Common Coauthors

Coauthor	Papers Together
Michael Yee	3
Connor Mclaughlin	2
John T. Holodnak	2
Giorgio Severi	2
Alina Oprea	2
Kendra Kratkiewicz	2
Simona Boboila	2
Justin Goodwin	1
Ryan Soklaski	1
Olivia Brown	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Isolation Forest	2008	Fei Tony Liu Kai Ming Ting Zhi‐Hua Zhou	1
+ PDF Chat	Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers	2016	Alexander Binder Grégoire Montavon Sebastian Lapuschkin Klaus‐Robert Müller Wojciech Samek	1
+ PDF Chat	Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification	2017	Xiaoyu Cao Neil Zhenqiang Gong	1
+ PDF Chat	Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks	2018	Kang Liu Brendan Dolan-Gavitt Siddharth Garg	1
+	Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection	2018	Yisroel Mirsky Tomer Doitshman Yuval Elovici Asaf Shabtai	1
+ PDF Chat	FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments	2022	Alesia Chernikova Alina Oprea	1
+ PDF Chat	Intrusion Detection using Continuous Time Bayesian Networks	2010	Jin Xu Christian R. Shelton	1
+	Adversarial Machine Learning-Industry Perspectives	2020	Ram Shankar Siva Kumar Magnus Nyström John Lambert Andrew Marshall Mario Goertzel Andi Comissoneru Matt Swann Sharon Xia	1
+ PDF Chat	Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning	2021	Justin Engelmann Stefan Lessmann	1
+ PDF Chat	Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT	2021	Pavlos Papadopoulos Oliver Thornewill von Essen Nikolaos Pitropakis Christos Chrysoulas Alexios Mylonas William J. Buchanan	1
+	Feature Extraction for Novelty Detection in Network Traffic	2020	Kun Yang Samory Kpotufe Nick Feamster	1
+ PDF Chat	A survey of Bayesian Network structure learning	2023	Neville K. Kitson Anthony C. Constantinou Zhigao Guo Yang Liu Kiattikun Chobtham	1
+ PDF Chat	Datasets are not enough: Challenges in labeling network traffic	2022	Jorge Luis Guerra Carlos Catania Eduardo Veas	1
+ PDF Chat	On the Robustness of Domain Constraints	2021	Ryan Sheatsley Blaine Hoak Eric Pauley Yohan Beugin Michael J. Weisman Patrick McDaniel	1
+ PDF Chat	PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection	2021	Talha Ongun Oliver Spohngellert Benjamin F. Miller Simona Boboila Alina Oprea Tina Eliassi‐Rad Jason D. Hiser Alastair Nottingham Jack W. Davidson Malathi Veeraraghavan	1
+	CELEST: Federated Learning for Globally Coordinated Threat Detection	2022	Talha Ongun Simona Boboila Alina Oprea Tina Eliassi‐Rad Jason D. Hiser Jack W. Davidson	1
+	TabDDPM: Modelling Tabular Data with Diffusion Models	2022	Akim Kotelnikov Dmitry Baranchuk Ivan Rubachev Artem Babenko	1
+ PDF Chat	Machine Learning Security in Industry: A Quantitative Survey	2023	Kathrin Grosse Lukas Bieringer Tarek R. Besold Battista Biggio Katharina Krombholz	1
+ PDF Chat	Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers	2023	Yang Li Zhi Chen Jacopo Cortellazzi Feargus Pendlebury Kevin Tu Fabio Pierazzi Lorenzo Cavallaro Gang Wang	1