105 citations · 203 across the 39 of their papers we have counts for
6 papers · 1 filter
Virtuoso: Video-based Intelligence for real-time tuning on SOCs
Jayoung Lee, PengCheng Wang, Ran Xu +5
Efficient and adaptive computer vision systems have been proposed to make computer vision tasks, such as image classification and object detection, optimized for embedded or mobile…
TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks
Atul Sharma, Wei Chen, Joshua Zhao +3
Federated learning---multi-party, distributed learning in a decentralized environment---is vulnerable to model poisoning attacks, even more so than centralized learning approaches.…
Federated Action Recognition on Heterogeneous Embedded Devices
Pranjal Jain, Shreyas Goenka, Saurabh Bagchi +2
Federated learning allows a large number of devices to jointly learn a model without sharing data. In this work, we enable clients with limited computing power to perform action re…
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests
Sean Kulinski, Saurabh Bagchi, David I. Inouye
While previous distribution shift detection approaches can identify if a shift has occurred, these approaches cannot localize which specific features have caused a distribution shi…
The Effect of Behavioral Probability Weighting in a Simultaneous Multi-Target Attacker-Defender Game
Mustafa Abdallah, Timothy Cason, Saurabh Bagchi +1
We consider a security game in a setting consisting of two players (an attacker and a defender), each with a given budget to allocate towards attack and defense, respectively, of a…
Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems
Mustafa Abdallah, Wo Jae Lee, Nithin Raghunathan +3
IoT systems have been facing increasingly sophisticated technical problems due to the growing complexity of these systems and their fast deployment practices. Consequently, IoT man…