137 citations · 269 across the 8 of their papers we have counts for
12 papers
Adversarial attacks on Copyright Detection Systems
Parsa Saadatpanah, Ali Shafahi, Tom Goldstein
It is well-known that many machine learning models are susceptible to adversarial attacks, in which an attacker evades a classifier by making small perturbations to inputs. This pa…
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Chen Zhu, W. Ronny Huang, Ali Shafahi +4
Clean-label poisoning attacks inject innocuous looking (and "correctly" labeled) poison images into training data, causing a model to misclassify a targeted image after being train…
PhasePack: A Phase Retrieval Library
Rohan Chandra, Ziyuan Zhong, Justin Hontz +3
Phase retrieval deals with the estimation of complex-valued signals solely from the magnitudes of linear measurements. While there has been a recent explosion in the development of…
PhasePack User Guide
Rohan Chandra, Ziyuan Zhong, Justin Hontz +3
"Phase retrieval" refers to the recovery of signals from the magnitudes (and not the phases) of linear measurements. While there has been a recent explosion in development of phase…
VLSI Designs for Joint Channel Estimation and Data Detection in Large SIMO Wireless Systems
Oscar Castañeda, Tom Goldstein, Christoph Studer
Channel estimation errors have a critical impact on the reliability of wireless communication systems. While virtually all existing wireless receivers separate channel estimation f…
Training Quantized Nets: A Deeper Understanding
Hao Li, Soham De, Zheng Xu +3
Currently, deep neural networks are deployed on low-power portable devices by first training a full-precision model using powerful hardware, and then deriving a corresponding low-p…