LIGHTBLUE: Automatic Profile-Aware Debloating of Bluetooth Stacks

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Some impulse radio UWB (IR-UWB) networks may allow concurrent transmissions without power control (for example MAC protocols that do not use power control, or co-existing, non-coordinated piconets). In such cases, it has been proposed to mitigate multi-use ...

Bluetooth is a pervasive wireless technology specified in an open standard. The standard defines Bluetooth Classic (BT) for high-throughput wireless services and Bluetooth Low Energy (BLE) very low-power ones. The standard also specifies security mechanism ...

In this work, we present a simple biometric indexing scheme which is binning and retrieving cancelable deep face templates based on frequent binary patterns. The simplicity of the proposed approach makes it applicable to unprotected as well as protected, i ...

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 ...

Backdoor attacks allow an attacker to embed functionality jeopardizing proper behavior of any algorithm, machine learning or not. This hidden functionality can remain inactive for normal use of the algorithm until activated by the attacker. Given how steal ...

There are increasing interests in document layout representation learning and understanding. Transformer, with its great power, has become the mainstream model architecture and achieved promising results in this area. As elements in a document layout consi ...

We are interested in the design of physical-layer aware medium access control (PHY-aware MAC) for self-organized, low power, low data-rate impulse-radio ultra-wideband (IR-UWB) networks. In such networks, energy consumption is much more of a concern than a ...

In this paper, we study the compression of a target two-layer neural network with N nodes into a compressed network with M < N nodes. More precisely, we consider the setting in which the weights of the target network are i.i.d. sub-Gaussian, and we minimiz ...

Transaction processing is a central part of most database applications. While serializability remains the gold standard for desirable transactional semantics, many database systems offer improved transaction throughput at the expense of introducing potenti ...

Kinetic models of metabolism relate metabolic fluxes, metabolite concentrations and enzyme levels through mechanistic relations, rendering them essential for understanding, predicting and optimizing the behaviour of living organisms. However, due to the la ...

A major obstacle to achieving global convergence in distributed and federated learning is the misalignment of gradients across clients, or mini-batches due to heterogeneity and stochasticity of the distributed data. In this work, we show that data heteroge ...

Cars are some of the most security-critical consumer devices. On the one hand, owners expect rich infotainment features, including audio, hands-free calls, contact management, or navigation through their connected mobile phone. On the other hand, the infot ...

To shrink the environmental footprint of housing, reducing dwellings' size is key. There is agreement among scholars on the measures that should be taken to achieve this goal, however their effectiveness and effects have not been sufficiently investigated. ...

State-of-the-art methods for counting people in crowded scenes rely on deep networks to estimate crowd density. While effective, these data-driven approaches rely on large amount of data annotation to achieve good performance, which stops these models from ...

Non-Rigid Structure-from-Motion (NRSfM) reconstructs a deformable 3D object from keypoint correspondences established between monocular 2D images. Current NRSfM methods lack statistical robustness, which is the ability to cope with correspondence errors. T ...

In real-time optimization, the solution quality depends on the model ability to predict the plant KarushKuhn-Tucker (KKT) conditions. In the case of non-parametric plant-model mismatch, one can add input-affine modifiers to the model cost and constraints a ...

This paper investigates the effect of combination policies on the performance of adaptive social learning in non-stationary environments. By analyzing the relation between the error probability and the underlying graph topology, we prove that in the slow a ...

Altered quality of the phonetic-acoustic information in the speech signal in the case of motor speech disorders may reduce its intelligibility. Monitoring intelligibility is part of the standard clinical assessment of patients. It is also a valuable tool t ...

Deep neural networks have been the driving force behind the success in classification tasks, e.g., object and audio recognition. Impressive results and generalization have been achieved by a variety of recently proposed architectures, the majority of which ...

LIGHTBLUE: Automatic Profile-Aware Debloating of Bluetooth Stacks

Chat with Graph Search

Interference Mitigation by Statistical Interference Modeling in an Impulse Radio UWB Receiver

BLURtooth: Exploiting Cross-Transport Key Derivation in Bluetooth Classic and Bluetooth Low Energy

Indexing Protected Deep Face Templates by Frequent Binary Patterns

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

An anomaly detection approach for backdoored neural networks: face recognition as a case study

Exploring Heterogeneous Feature Representation for Document Layout Understanding

Tradeoff Analysis of PHY-aware MAC in Low-Rate, Low-Power UWB networks

Sharp asymptotics on the compression of two-layer neural networks

Robustness Against Read Committed: A Free Transactional Lunch

Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks

Implicit Gradient Alignment in Distributed and Federated Learning

On the Insecurity of Vehicles Against Protocol-Level Bluetooth Threats

Shrinking Housing's Size: Using Agent-Based Modelling to Explore Measures for a Reduction of Floor Area Per Capita

Leveraging Self-Supervision for Cross-Domain Crowd Counting

Robust Isometric Non-Rigid Structure-From-Motion

On improving the efficiency of modifier adaptation via directional information

Optimal Combination Policies For Adaptive Social Learning

Comparison of 5 methods for the evaluation of intelligibility in mild to moderate French dysarthric speech

Augmenting Deep Classifiers with Polynomial Neural Networks