Michael Lomnitz

12 papers A* 1B 1Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Tools Identification By On-Board Adaptation of Vision-and-Language Models. AAAI Jun Hu, Phil Miller, Michael Lomnitz, Saurabh Farkya, Emre Yilmaz, Aswin Raghavan, David C. Zhang, Michael R. Piacentino
2023	J	`jnl`	Efficient Model Adaptation for Continual Learning at the Edge. CoRR Zachary A. Daniels, Jun Hu, Michael Lomnitz, Phil Miller, Aswin Raghavan, Joe Zhang, Michael R. Piacentino, David C. Zhang
2023	B	`conf`	Learning with Local Gradients at the Edge. SMC Michael Lomnitz, Zachary Daniels, Saurabh Farkya, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino
2022	J	`jnl`	Learning with Local Gradients at the Edge. CoRR Michael Lomnitz, Zachary Daniels, David C. Zhang, Michael R. Piacentino
2022	—	`conf`	Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. CVPR Workshops 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
2022	J	`jnl`	Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. CoRR 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
2020	J	`jnl`	A general approach to bridge the reality-gap. CoRR Michael Lomnitz, Zigfried Hampel-Arias, Nina Lopatina, Felipe A. Mejia
2020	—	`conf`	Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning. AIPR John K. Lewis, Imad Eddine Toubal, Helen Chen, Vishal Sandesera, Michael Lomnitz, Zigfried Hampel-Arias, Prasad Calyam, Kannappan Palaniappan
2020	—	`conf`	Multimodal Approach for DeepFake Detection. AIPR Michael Lomnitz, Zigfried Hampel-Arias, Vishal Sandesara, Simon Hu
2020	—	`conf`	The VOiCES from a Distance Challenge 2019: Analysis of Speaker Verification Results and Remaining Challenges. Odyssey Mahesh Kumar Nandwana, Michael Lomnitz, Colleen Richey, Mitchell McLaren, Diego Castán, Luciana Ferrer, Aaron Lawson
2019	J	`jnl`	Reducing audio membership inference attack accuracy to chance: 4 defenses. CoRR Michael Lomnitz, Nina Lopatina, Paul Gamble, Zigfried Hampel-Arias, Lucas Tindall, Felipe A. Mejia, Maria Alejandra Barrios
2019	J	`jnl`	Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks. CoRR Felipe A. Mejia, Paul Gamble, Zigfried Hampel-Arias, Michael Lomnitz, Nina Lopatina, Lucas Tindall, Maria Alejandra Barrios