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07/11/2023
Application-aware Energy Attack Mitigation in the Battery-less Internet of Things
We study how to mitigate the effects of energy attacks in the batteryles...
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04/27/2023
Timing Analysis of Embedded Software Updates
We present RETA (Relative Timing Analysis), a differential timing analys...
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04/17/2023
Energy Attacks in the Battery-less Internet of Things
We study how ambient energy harvesting may be used as an attack vector i...
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02/14/2023
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning
Byzantine-robust federated learning aims at mitigating Byzantine failure...
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12/01/2022
On-device Training: A First Overview on Existing Systems
The recent breakthroughs in machine learning (ML) and deep learning (DL)...
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06/10/2022
Blades: A Simulator for Attacks and Defenses in Federated Learning
Federated learning enables distributed training across a set of clients,...
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12/24/2021
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks
Recent backscatter communication techniques enable ultra low power wirel...
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01/14/2021
Auto-weighted Robust Federated Learning with Corrupted Data Sources
Federated learning provides a communication-efficient and privacy-preser...
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09/16/2020
The Dark (and Bright) Side of IoT: Attacks and Countermeasures to Identification of Smart Home Devices and Services
We present a new machine learning-based attack that exploits network pat...
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01/13/2020
TunnelScatter: Low Power Communication for Sensor Tags using Tunnel Diodes
Due to extremely low power consumption, backscatter has become the trans...
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03/22/2018
Visible Light Communication for Wearable Computing
Visible Light Communication (VLC) is emerging as a means to network comp...
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10/06/2017