Archives: Events

PhD Thesis defense: Positioning Systems and the Challenges of Security & Privacy for Real-World Wireless Networks Deployments

This thesis investigates the performance of positioning systems in Wi-Fi and 5G networks using a single node, such as a...

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PhD Thesis defense: Understanding Societal Phenomena and Network Operations with Mobile Metadata

Mobile networks are central to modern digital life, generating vast amounts of metadata that offer valuable insights into human behavior,...

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PhD Thesis defense: Security-Enhanced and Privacy-Preserving Federated Learning

This thesis addresses two critical challenges in Federated Learning (FL): enhancing Byzantine robustness to thwart poisoning attacks and advancing privacy-preserving...

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Towards Resilient Decentralized Networked Systems

The increasing reliance on digitally interconnected critical infrastructure creates unprecedented vulnerabilities to large-scale failures, threatening societal stability and economic prosperity....

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Your Signal, Their Data: An Empirical Privacy Analysis of Wireless-scanning SDKs in Android

Mobile apps frequently use Bluetooth Low Energy (BLE) and WiFi scanning permissions to discover nearby devices like peripherals and connect...

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Reimagining the FMCW mmWave radar: From interference-based Sensing Enhancement to Data-Driven Large Language Models

I will share new developments from my work on Millimeter wave (mmWave) Frequency-Modulated Continuous Wave (FMCW) radar sensing. mmWave FMCW...

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IoT Threats and Security

In this seminar, the presenter will provide an overview of the Computer Science Department and its programs and then discuss...

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Software Defined Inception: When your Programmable Switches Turn into your Emulation and Traffic Generation Toolbox

After a quick revisitation of the evolving history behind Software Defined Networking (SDN), this talk will focus on ongoing open-source...

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Towards Quantum-based FEC Processors

This talk explores how quantum computing can perform Forward Error Correction (FEC), inherent in mobile networks. We introduce Qu4Fec, a...

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Regret Bounds for Online Learning for Hierarchical Inference

Hierarchical Inference (HI) has emerged as a promising approach for efficient distributed inference between end devices deployed with small pre-trained...

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