Publications related to Distortion (music)

TEEzz: Fuzzing Trusted Applications on COTS Android Devices

Security and privacy-sensitive smartphone applications use trusted execution environments (TEEs) to protect sensitive operations from malicious code. By design, TEEs have privileged access to the entire system but expose little to no insight into their inn ...

IEEE COMPUTER SOC2023

Arvin: Greybox Fuzzing Using Approximate Dynamic CFG Analysis

Mathias Josef Payer, Sirus Shahini

Fuzzing has emerged as the most broadly used testing technique to discover bugs. Effective fuzzers rely on coverage to prioritize inputs that exercise new program areas. Edge-based code coverage of the Program Under Test (PUT) is the most commonly used cov ...

ASSOC COMPUTING MACHINERY2023

Space-time wave packets with reduced divergence and tunable group velocity generated in free space after multi-mode fiber propagation

Tobias Kippenberg, Maxim Karpov, Hao Song, Xinzhou Su

Previously, space-time wave packets (STWPs) have been gen-erated in free space with reduced diffraction and a tunable group velocity by combining multiple frequency comb lines each carrying a single Bessel mode with a unique wave num-ber. It might be poten ...

Washington2023

Adapting Virtual Embodiment through Reinforcement Learning

Olaf Blanke, Ronan Boulic, Bruno Herbelin, Yawen Hou

In Virtual Reality, having a virtual body opens a wide range of possibilities as the participant's avatar can appear to be quite different from oneself for the sake of the targeted application (e.g. for perspective-taking). In addition, the system can part ...

2021

Seed Selection for Successful Fuzzing

Mathias Josef Payer

Mutation-based greybox fuzzing-unquestionably the most widely-used fuzzing technique-relies on a set of non-crashing seed inputs (a corpus) to bootstrap the bug-finding process. When evaluating a fuzzer, common approaches for constructing this corpus inclu ...

ASSOC COMPUTING MACHINERY2021

Three-dimensional tomography of red blood cells using deep learning

Demetri Psaltis, Joowon Lim, Ahmed Ayoub

We accurately reconstruct three-dimensional (3-D) refractive index (RI) distributions from highly ill-posed two-dimensional (2-D) measurements using a deep neural network (DNN). Strong distortions are introduced on reconstructions obtained by the Wolf tran ...

2020

Graph Transform Optimization With Application to Image Compression

Pascal Frossard, Giulia Fracastoro

In this paper, we propose a new graph-based transform and illustrate its potential application to signal compression. Our approach relies on the careful design of a graph that optimizes the overall rate-distortion performance through an effective graph-bas ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Monolithic piezoelectric control of soliton microcombs

Tobias Kippenberg, Rui Ning Wang, Junqiu Liu, Erwan Guillaume Albert Lucas, Wenle Weng, Arslan Sajid Raja, Jijun He, Miles Henry Anderson, Tianyi Liu

High-speed actuation of laser frequency(1)is critical in applications using lasers and frequency combs(2,3), and is a prerequisite for phase locking, frequency stabilization and stability transfer among optical carriers. For example, high-bandwidth feedbac ...

NATURE PUBLISHING GROUP2020

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Distortion (music)

TEEzz: Fuzzing Trusted Applications on COTS Android Devices

Arvin: Greybox Fuzzing Using Approximate Dynamic CFG Analysis

Space-time wave packets with reduced divergence and tunable group velocity generated in free space after multi-mode fiber propagation

Adapting Virtual Embodiment through Reinforcement Learning

Seed Selection for Successful Fuzzing

Spherical cap harmonic analysis (SCHA) for characterising the morphology of rough surface patches

Three-dimensional tomography of red blood cells using deep learning

Graph Transform Optimization With Application to Image Compression

FuzzGen: Automatic Fuzzer Generation

Monolithic piezoelectric control of soliton microcombs

Graph Chatbot

Chat with Graph Search

Seed Selection for Successful Fuzzing

Arvin: Greybox Fuzzing Using Approximate Dynamic CFG Analysis

Space-time wave packets with reduced divergence and tunable group velocity generated in free space after multi-mode fiber propagation

Spherical cap harmonic analysis (SCHA) for characterising the morphology of rough surface patches

FuzzGen: Automatic Fuzzer Generation

Monolithic piezoelectric control of soliton microcombs

Graph Transform Optimization With Application to Image Compression

Adapting Virtual Embodiment through Reinforcement Learning

TEEzz: Fuzzing Trusted Applications on COTS Android Devices

Three-dimensional tomography of red blood cells using deep learning