Event Category: In-house Presentation

In the Room Where It Happens: Characterizing Local Communication and Threats in Smart Homes

The network communication between Internet of Things (IoT) devices on the same local network has significant implications for platform and...

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French Parliamentary election and mobile traffic data

In May 2019, the French European parliamentary election was held, and 6 parties reached seats in the parliament. In this...

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AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics

The introduction of ChatGPT and the subsequent improvement of Large Language Models (LLMs) have prompted more and more individuals to...

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In-depth analysis of the Android supply chain: Vendor customizations on critical networking components

The openness and extensibility of the Android Open Source Project (AOSP) enable Android device vendors, also known as Original Equipment...

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Simulation-based Comparison of Network Scale-Up Methods

The Network Scale-up Method (NSUM) is a method to estimate hard-to-reach populations based on indirect surveys. Unlike the classical surveys,...

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Rethinking LiFi for Carbon Neutral Sunlight-based Communication

Wireless communication has to be redesigned to achieve sustainable communication infrastructure providing net-zero carbon dioxide emission. In this presentation, we...

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SIGNiPHY: Reconciling Random Access with Directional Reception for Efficient mmWave WLANs

Millimeter-Wave (mmWave) WiFi can provide very low latency and multi-Gbps throughput, but real-world deployments usually do not achieve the theoretically...

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The Case for Hierarchical Deep Learning Inference at the Network Edge

Resource-constrained Edge Devices (EDs), e.g., IoT sensors and microcontroller units, are expected to make intelligent decisions using Deep Learning (DL)...

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Fast Detection of Cyberattacks on the Metaverse through User-plane Inference

The metaverse is envisioned as a digital world where people can experience an immersive three-dimensional Internet, thanks to the profound...

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Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests

User-plane machine learning enables low-latency and high-throughput inference at line rate. Yet, data planes are highly constrained environments, and restrictions...

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