Matthew Hill

According to our database, Matthew Hill authored at least 14 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DyPolDroid: Protecting Against Permission-Abuse Attacks in Android.

Carlos E. Rubio-Medrano, Pradeep Kumar Duraisamy Soundrapandian, Matthew Hill, Luis Claramunt, Jaejong Baek, Geetha S, Gail-Joon Ahn

Inf. Syst. Frontiers, April, 2023

2021

DyPolDroid: Protecting Users and Organizations from Permission-Abuse Attacks in Android.

Carlos E. Rubio-Medrano, Matthew Hill, Luis M. Claramunt, Jaejong Baek, Gail-Joon Ahn

Proceedings of the Secure Knowledge Management In The Artificial Intelligence Era, 2021

Active Learning with Data Distribution Shift Detection for Updating Localization Systems.

Josh Barrows, Valentin Radu, Matthew Hill, Fabio Ciravegna

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

Real-time Activation Pattern Monitoring and Uncertainty Characterisation in Image Classification.

Shenglin Wang, Peng Wang, Lyudmila Mihaylova, Matthew Hill

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Poster: DyPolDroid: User-Centered Counter-Policies Against Android Permission-Abuse Attacks.

Matthew Hill, Carlos E. Rubio-Medrano, Luis Claramunt, Jaejong Baek, Gail-Joon Ahn

Proceedings of the IEEE European Symposium on Security and Privacy, 2021

2020

Infrared image-guidance for intraoperative assessment of limb length discrepancy during total hip arthroplasty procedures.

Jerry Yan, Akash Chaurasia, Hannah Takasuka, Aditi Jithendra, Claire State, Kathleen McCarren, Robert Li, Evan Bender, Matthew Hill, Thomas Benassi, Julius Oni, Amir Manbachi

Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

P2L: Predicting Transfer Learning for Images and Semantic Relations.

Bishwaranjan Bhattacharjee, John R. Kender, Matthew Hill, Parijat Dube, Siyu Huo, Michael R. Glass, Brian M. Belgodere, Sharath Pankanti, Noel Codella, Patrick Watson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Improving Transferability of Deep Neural Networks.

Parijat Dube, Bishwaranjan Bhattacharjee, Elisabeth Petit-Bois, Matthew Hill

Proceedings of the Domain Adaptation for Visual Understanding, 2020

2019

Structural Test Coverage Criteria for Deep Neural Networks.

Youcheng Sun, Xiaowei Huang, Daniel Kroening, James Sharp, Matthew Hill, Rob Ashmore

ACM Trans. Embed. Comput. Syst., 2019

P2L: Predicting Transfer Learning for Images and Semantic Relations.

Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian M. Belgodere

CoRR, 2019

DeepConcolic: testing and debugging deep neural networks.

Youcheng Sun, Xiaowei Huang, Daniel Kroening, James Sharp, Matthew Hill, Rob Ashmore

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2018

Improving Transferability of Deep Neural Networks.

Parijat Dube, Bishwaranjan Bhattacharjee, Elisabeth Petit-Bois, Matthew Hill

CoRR, 2018

"Boxing Clever": Practical Techniques for Gaining Insights into Training Data and Monitoring Distribution Shift.

Rob Ashmore, Matthew Hill

Proceedings of the Computer Safety, Reliability, and Security, 2018

2010

Graphical processing unit-based machine vision system for simultaneous measurement of shrinkage and soil release in fabrics.

Sridharan Kamalakannan, Arunkumar Gururajan, Matthew Hill, Muneem Shahriar, Hamed Sari-Sarraf, Eric F. Hequet

J. Electronic Imaging, 2010