Michael Lomnitz

According to our database, Michael Lomnitz authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Tools Identification By On-Board Adaptation of Vision-and-Language Models.

Jun Hu, Phil Miller, Michael Lomnitz, Saurabh Farkya, Emre Yilmaz, Aswin Raghavan, David C. Zhang, Michael R. Piacentino

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Efficient Model Adaptation for Continual Learning at the Edge.

Zachary A. Daniels, Jun Hu, Michael Lomnitz, Phil Miller, Aswin Raghavan, Joe Zhang, Michael R. Piacentino, David C. Zhang

CoRR, 2023

Learning with Local Gradients at the Edge.

Michael Lomnitz, Zachary Daniels, Saurabh Farkya, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Learning with Local Gradients at the Edge.

Michael Lomnitz, Zachary Daniels, David C. Zhang, Michael R. Piacentino

CoRR, 2022

Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators.

Indhumathi Kandaswamy, Saurabh Farkya, Zachary Daniels, Gooitzen van der Wal, Aswin Raghavan, Yuzheng Zhang, Jun Hu, Michael Lomnitz, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

A general approach to bridge the reality-gap.

Michael Lomnitz, Zigfried Hampel-Arias, Nina Lopatina, Felipe A. Mejia

CoRR, 2020

The VOiCES from a Distance Challenge 2019: Analysis of Speaker Verification Results and Remaining Challenges.

Mahesh Kumar Nandwana, Michael Lomnitz, Colleen Richey, Mitchell McLaren, Diego Castán, Luciana Ferrer, Aaron Lawson

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Multimodal Approach for DeepFake Detection.

Michael Lomnitz, Zigfried Hampel-Arias, Vishal Sandesara, Simon Hu

Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning.

John K. Lewis, Imad Eddine Toubal, Helen Chen, Vishal Sandesera, Michael Lomnitz, Zigfried Hampel-Arias, Prasad Calyam, Kannappan Palaniappan

Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2019

Reducing audio membership inference attack accuracy to chance: 4 defenses.

Michael Lomnitz, Nina Lopatina, Paul Gamble, Zigfried Hampel-Arias, Lucas Tindall, Felipe A. Mejia, Maria Alejandra Barrios

CoRR, 2019

Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks.

Felipe A. Mejia, Paul Gamble, Zigfried Hampel-Arias, Michael Lomnitz, Nina Lopatina, Lucas Tindall, Maria Alejandra Barrios

CoRR, 2019