On the Insecurity of Vehicles Against Protocol-Level Bluetooth Threats

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Neuroscience incorporates knowledge from a range of scales, from single molecules to brain wide neural networks. Modeling is a valuable tool in understanding processes at a single scale or the interactions between two adjacent scales and researchers use a ...

Since humans are fundamentally social beings and interact frequently with others in their daily life, understanding social context is of primary importance in building context-aware applications. In this paper, using smartphone Bluetooth as a proximity sen ...

This work presents tweedledum-an extensible open-source library aiming at narrowing the gap between high-level algorithms and physical devices by enhancing the expressive power of existing frameworks. For example, it allows designers to insert classical lo ...

We study the optimization of large-scale, real-time ridesharing systems and propose a modular design methodology, Component Algorithms for Ridesharing (CAR). We evaluate a diverse set of CARs (14 in total), focusing on the key algorithmic components of rid ...

Volumetric representations are popular in inverse rendering because they have a simple parameterization, are smoothly varying, and transparently handle topology changes. However, incorporating the full volumetric transport of light is costly and challengin ...

Vehicular communication (VC) systems are being developed primarily to enhance transportation safety and efficiency. Vehicle-to-vehicle communication, in particular, frequent cooperative awareness messages or safety beacons, has been considered over the pas ...

We propose a versatile framework based on random search, Sparse-RS, for score-based sparse targeted and untargeted attacks in the black-box setting. Sparse-RS does not rely on substitute models and achieves state-of-the-art success rate and query efficienc ...

Optimizing resource utilization in target platforms is key to achieving high performance during DNN inference. While optimizations have been proposed for inference latency, memory footprint, and energy consumption, prior hardware-aware neural architecture ...

We expose the vulnerability of an emerging wireless ranging technology, impulse radio ultra-wide band (IR-UWB), to distance-decreasing attacks on the physical communication layer (PHY). These attacks violate the security of secure ranging protocols that al ...

The characteristics of vehicular communication environments and their networking and application requirements have led to the development of unique networking protocols. They enable vehicle-to-vehicle and vehicle-to-infrastructure communication based on th ...

Millimeter wave (mmWave) radars are becoming a more popular sensing modality in self-driving cars due to their favorable characteristics in adverse weather. Yet, they currently lack sufficient spatial resolution for semantic scene understanding. In this pa ...

State-of-the-art 2D image compression schemes rely on the power of convolutional neural networks (CNNs). Although CNNs offer promising perspectives for 2D image compression, extending such models to omnidirectional images is not straightforward. First, omn ...

Effective and robust operations, as well as security and privacy are critical for the deployment of vehicular ad hoc networks (VANETs). Efficient and easy- to-manage security and privacy-enhancing mechanisms are essential for the wide-spread adoption of th ...

In this paper we introduce and study the STREAMINGCYCLES problem, a random order streaming version of the Boolean Hidden Hypermatching problem that has been instrumental in streaming lower bounds over the past decade. In this problem the edges of a graph G ...

Despite many good (secure) key agreement protocols based on public-key cryptography exist, secure associations between two wireless devices are often established using symmetric-key cryptography for cost reasons. The consequence is that common daily used s ...

Natural language processing models learn word representations based on the distributional hypothesis, which asserts that word context (e.g., co-occurrence) correlates with meaning. We propose that n-grams composed of random character sequences, or garble, ...

Physically-based differentiable rendering has recently emerged as an attractive new technique for solving inverse problems that recover complete 3D scene representations from images. The inversion of shape parameters is of particular interest but also pose ...

The projection of sample measurements onto a reconstruction space represented by a basis on a regular grid is a powerful and simple approach to estimate a probability density function. In this paper, we focus on Riesz bases and propose a projection operato ...

On the Insecurity of Vehicles Against Protocol-Level Bluetooth Threats

Chattez avec Graph Search

Preface-Special Issue on Misinformation on the Web

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Human Interaction Discovery in Smartphone Proximity Networks

tweedledum: A Compiler Companion for Quantum Computing

Putting ridesharing to the test: efficient and scalable solutions and the power of dynamic vehicle relocation

Unbiased Inverse Volume Rendering with Differential Trackers

On the Performance of Secure Vehicular Communication Systems

Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks

U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search

Effectiveness of Distance-Decreasing Attacks Against Impulse Radio Ranging

Design and Performance of Secure Geocast for Vehicular Communication

Radatron: Accurate Detection Using Multi-resolution Cascaded MIMO Radar

OSLO: On-the-Sphere Learning for Omnidirectional Images and Its Application to 360-Degree Image Compression

Efficient and Robust Pseudonymous Authentication in VANET

Factorial Lower Bounds for (Almost) Random Order Streams

On Bluetooth repairing: key agreement based on symmetric-key cryptography

Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models

Differentiable Signed Distance Function Rendering

Bona Fide Riesz Projections For Density Estimation