Publications related to Linux kernel

VIDEZZO: Dependency-aware Virtual Device Fuzzing

Mathias Josef Payer, Flavio Toffalini, Qiang Liu

A virtual machine interacts with its host environment through virtual devices, driven by virtual device messages, e.g., I/O operations. By issuing crafted messages, an adversary can exploit a vulnerability in a virtual device to escape the virtual machine, ...

IEEE COMPUTER SOC2023

Midas: Systematic Kernel TOCTTOU Protection

Mathias Josef Payer, Atri Bhattacharyya, Uros Tesic

Double-fetch bugs are a plague across all major operating system kernels. They occur when data is fetched twice across the user/kernel trust boundary while allowing concurrent modification. Such bugs enable an attacker to illegally access memory, cause den ...

2022

Kernel Memory Networks: A Unifying Framework for Memory Modeling

Wulfram Gerstner, Johanni Michael Brea, Georgios Iatropoulos

We consider the problem of training a neural network to store a set of patterns with maximal noise robustness. A solution, in terms of optimal weights and state update rules, is derived by training each individual neuron to perform either kernel classifica ...

2022

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

Matthieu Wyart, Umberto Maria Tomasini, Antonio Sclocchi

Recently, several theories including the replica method made predictions for the generalization error of Kernel Ridge Regression. In some regimes, they predict that the method has a 'spectral bias': decomposing the true function f* on the eigenbasis of the ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2022

Learnable filter-banks for CNN-based audio applications

Nicolas Aspert, Benjamin Ricaud, Helena Peic Tukuljac, Laurent Colbois

We investigate the design of a convolutional layer where kernels are parameterized functions. This layer aims at being the input layer of convolutional neural networks for audio applications or applications involving time-series. The kernels are defined as ...

2022

Teaching under lockdown: the change in the social practice of teaching

Patrick Jermann, Roland John Tormey, Helena Kovacs

Due to the unprecedented situation caused by a global pandemic, the traditional way of teaching that is reliant on face-to-face interaction between teachers and students has been dismantled. This article looks into university teachers’ experiences of teach ...

Springer2022

Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering

Wenzel Alban Jakob, Nicolas Julien Roussel, Delio Aleardo Vicini, Sébastien Nicolas Speierer

Dr.Jit is a new just-in-time compiler for physically based rendering and its derivative. Dr.Jit expedites research on these topics in two ways: first, it traces high-level simulation code (e.g., written in Python) and aggressively simplifies and specialize ...

ASSOC COMPUTING MACHINERY2022

NrOS: Effective Replication and Sharing in an Operating System

Sanidhya Kashyap, Ankit Bhardwaj

Writing a correct operating system kernel is notoriously hard. Kernel code requires manual memory management and type-unsafe code and must efficiently handle complex, asynchronous events. In addition, increasing CPU core counts further complicate kernel de ...

USENIX ASSOC2021

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Linux kernel

VIDEZZO: Dependency-aware Virtual Device Fuzzing

Midas: Systematic Kernel TOCTTOU Protection

Kernel Memory Networks: A Unifying Framework for Memory Modeling

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

Learnable filter-banks for CNN-based audio applications

Teaching under lockdown: the change in the social practice of teaching

Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering

NrOS: Effective Replication and Sharing in an Operating System

Multikernel Regression with Sparsity Constraint

Architecture Exploration and Optimization of Heterogeneous Many-Core Compute and Memory Architectures with Architectural Extensions

Graph Chatbot

Chat with Graph Search

Teaching under lockdown: the change in the social practice of teaching

Kernel Memory Networks: A Unifying Framework for Memory Modeling

NrOS: Effective Replication and Sharing in an Operating System

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

VIDEZZO: Dependency-aware Virtual Device Fuzzing

Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering

Midas: Systematic Kernel TOCTTOU Protection

Learnable filter-banks for CNN-based audio applications

Multikernel Regression with Sparsity Constraint

Architecture Exploration and Optimization of Heterogeneous Many-Core Compute and Memory Architectures with Architectural Extensions