Akash Deep Singh

Orcid: 0000-0003-1095-2200

According to our database1, Akash Deep Singh authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Understanding factors behind IoT privacy - A user's perspective on RF sensors.
CoRR, 2024

RefreshChannels: Exploiting Dynamic Refresh Rate Switching for Mobile Device Attacks.
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

2023
Deep Scene Understanding using RF and its Fusion with other Modalities
PhD thesis, 2023

Depth Estimation from Camera Image and mmWave Radar Point Cloud.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
InkFiltration: Using Inkjet Printers for Acoustic Data Exfiltration from Air-Gapped Networks.
ACM Trans. Priv. Secur., 2022

Towards Real-Time Rich Scene Analysis Using Vision-Guided Wireless Vibrometry.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Capricorn: Towards Real-Time Rich Scene Analysis Using RF-Vision Sensor Fusion.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Self-Supervised Radio-Visual Representation Learning for 6G Sensing.
Proceedings of the IEEE International Conference on Communications, 2022

2021
On collaborative reinforcement learning to optimize the redistribution of critical medical supplies throughout the COVID-19 pandemic.
J. Am. Medical Informatics Assoc., 2021

I Always Feel Like Somebody's Sensing Me! A Framework to Detect, Identify, and Localize Clandestine Wireless Sensors.
Proceedings of the 30th USENIX Security Symposium, 2021

2020
UWHear: through-wall extraction and separation of audio vibrations using wireless signals.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

2019
A Two-Way Cooperative D2D Communication Framework for a Heterogeneous Cellular Network.
Wirel. Pers. Commun., 2019

RadHAR: Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar.
Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing Systems, 2019


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