137 citations · 144 across the 5 of their papers we have counts for
11 papers
High-Bandwidth Spatial Equalization for mmWave Massive MU-MIMO with Processing-In-Memory
Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2
All-digital basestation (BS) architectures enable superior spectral efficiency compared to hybrid solutions in massive multi-user MIMO systems. However, supporting large bandwidths…
Soft-Output Finite Alphabet Equalization for mmWAVE Massive MIMO
Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi +2
Next-generation wireless systems are expected to combine millimeter-wave (mmWave) and massive multi-user multiple-input multiple-output (MU-MIMO) technologies to deliver high data-…
Headless Horseman: Adversarial Attacks on Transfer Learning Models
Ahmed Abdelkader, Michael J. Curry, Liam Fowl +5
Transfer learning facilitates the training of task-specific classifiers using pre-trained models as feature extractors. We present a family of transferable adversarial attacks agai…
Sparse Beamspace Equalization for Massive MU-MIMO mmWave Systems
Seyed Hadi Mirfarshbafan, Christoph Studer
We propose equalization-based data detection algorithms for all-digital millimeter-wave (mmWave) massive multiuser multiple-input multiple-out (MU-MIMO) systems that exploit sparsi…
Certified Defenses for Adversarial Patches
Ping-Yeh Chiang, Renkun Ni, Ahmed Abdelkader +3
Adversarial patch attacks are among one of the most practical threat models against real-world computer vision systems. This paper studies certified and empirical defenses against…
MSE-Optimal Neural Network Initialization via Layer Fusion
Ramina Ghods, Andrew S. Lan, Tom Goldstein +1
Deep neural networks achieve state-of-the-art performance for a range of classification and inference tasks. However, the use of stochastic gradient descent combined with the nonco…