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Publications associées (21)

Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums

Rachid Guerraoui, Nirupam Gupta, Rafaël Benjamin Pinot, Sadegh Farhadkhani, John Stephan

Byzantine resilience emerged as a prominent topic within the distributed machine learning community. Essentially, the goal is to enhance distributed optimization algorithms, such as distributed SGD, in a way that guarantees convergence despite the presence ...

PMLR2022

Pretraining boosts out-of-domain robustness for pose estimation

Alexander Mathis, Mackenzie Mathis, Matthias Bethge, Steffen Schneider

Neural networks are highly effective tools for pose estimation. However, as in other computer vision tasks, robustness to out-of-domain data remains a challenge, especially for small training sets that are common for real-world applications. Here, we probe ...

IEEE COMPUTER SOC2021

GARFIELD: System Support for Byzantine Machine Learning (Regular Paper)

Rachid Guerraoui, Sébastien Louis Alexandre Rouault, Arsany Hany Abdelmessih Guirguis

We present GARFIELD, a library to transparently make machine learning (ML) applications, initially built with popular (but fragile) frameworks, e.g., TensorFlow and PyTorch, Byzantine–resilient. GARFIELD relies on a novel object–oriented design, reducing t ...

IEEE2021

Template Induction over Unstructured Email Corpora

Julia Proskurnia

Unsupervised template induction over email data is a central component in applications such as information extraction, document classification, and auto-reply. The benefits of automatically generating such templates are known for structured data, e.g. mach ...

Profiling, Modelling and Facilitating Online Activism

Julia Proskurnia

The extensive and successful use of social media has enhanced and empowered a variety of movements all over the world in a way that is hard to achieve through conventional means. This has led to numerous studies that leverage online social data to describe ...

EPFL2017

Reconstruction of 3D scattered data via radial basis functions by efficient and robust techniques

Alberto Crivellaro

We propose new algorithms to overcome two of the most constraining limitations of surface reconstruction methods in use. In particular, we focus on the large amount of data characterizing standard acquisitions by scanner and the noise intrinsically introdu ...

Elsevier Science Bv2017

JammJoint: A Variable Stiffness Device Based on Granular Jamming for Wearable Joint Support

Auke Ijspeert, Jamie Paik, Simon Lukas Hauser, Matthew Aaron Robertson

In robotics, controlling the stiffness of the joints that contribute to the robots’ degree of freedom dictates the adaptability, versatility, and safety of the whole system.We can achieve variable stiffness or impedance in a robotic system purely by the co ...

2017

Towards a Principled Approach to Humanitarian Information and Communication Technology

Denis Gillet, Adrian Christian Holzer, Isabelle Barbara Marie-Hélène Cardia

The humanitarian sector is entering in the network age. The explosion in access to new information and communication technology (ICT) like mobile phones, the internet, and social media, is changing the way people communicate in emergency situations. Howeve ...

ACM2017

Remotely Controlled Isomer Selective Molecular Switching

Klaus Kern, Uta Schlickum, Ivan Pentegov, Verena Katharina Schendel

Non local addressing-the "remote control"- of molecular switches promises more efficient processing for information technology, where fast speed of switching is essential. The surface state of the (111) facets of noble metals, a confined two-dimensional el ...

Amer Chemical Soc2016

Admissible geometrical domains and graphic statics to evaluate constitutive elements of structural robustness

Corentin Jean Dominique Fivet

Structural robustness is related to the insensitivity of a structure to local failure, which is linked to the ability of force redistribution. Current approaches—probabilistic, risk-based, deterministic, and energetic—are poorly suited to inform the design ...

2016

Nonlinear Eigenvalue Problems With Specified Eigenvalues

Daniel Kressner

This work considers eigenvalue problems that are nonlinear in the eigenvalue parameter. Given such a nonlinear eigenvalue problem T, we are concerned with finding the minimal backward error such that T has a set of prescribed eigenvalues with prescribed al ...

Siam Publications2014

Stochastic Exploration of Ambiguities for Non-Rigid Shape Recovery

Pascal Fua

Recovering the 3D shape of deformable surfaces from single images is known to be a highly ambiguous problem because many different shapes may have very similar projections. This is commonly addressed by restricting the set of possible shapes to linear comb ...

Institute of Electrical and Electronics Engineers2013

Modeling Value Creation and Capture in Service Systems

Alain Wegmann, Arash Golnam

In service-dominant (S-D) logicvalue is viewed as being co-created between companies, customers, and other actors within a service system. In order to understand how service systems maintain their viability and competitiveness, two fundamental questions sh ...

Springer-Verlag Berlin2012

Design Methods and Tools for 3D Integration

Giovanni De Micheli, Yusuf Leblebici, David Atienza Alonso, Vasileios Pavlidis

The design of 3-dimensional integrated circuits requires new specialized tools, methods and flows. Whereas some tools are on the market and some design flows for standard ICs are extended to handle die stacking and through-silicon vias, much R&D has still ...

2011

My3: A highly-available P2P-based online social network

Karl Aberer, Rammohan Narendula

As the online social networks (OSNs), such as Facebook, witness explosive growth, the privacy challenges gain critical consideration from governmental and law agencies due to concentration of vast amount of personal information within a single administrati ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Exploring Ambiguities for Monocular Non-Rigid Shape Estimation

Pascal Fua

Recovering the 3D shape of deformable surfaces from single images is difficult because many different shapes have very similar projections. This is commonly addressed by restricting the set of possible shapes to linear combinations of deformation modes and ...

2010

Privacy-aware and highly-available OSN profiles

Karl Aberer, Rammohan Narendula

The explosive growth of online social networks (OSNs) and their wide popularity suggest the impact of OSNs on today's Internet. At the same time, concentration of vast amount of personal information within a single administrative domain causes critical pri ...

2010

Artificial immune system for the Internet

We investigate the usability of the Artificial Immune Systems (AIS) approach for solving selected problems in computer networks. Artificial immune systems are created by using the concepts and algorithms inspired by the theory of how the Human Immune Syste ...

EPFL2008

Artificial Immune System For Collaborative Spam Filtering

Jean-Yves Le Boudec

Artificial immune systems (AIS) use the concepts and algorithms inspired by the theory of how the human immune system works. This document presents the design and initial evaluation of a new artificial immune system for collaborative spam filtering. Collab ...

Springer Verlag2008

AntispamLab - A Tool for Realistic Evaluation of Email Spam Filters

Jean-Yves Le Boudec

The existing tools for testing spam filters evaluate a filter instance by simply feeding it with a stream of emails, possibly also providing a feedback to the filter about the correctness of the detection. In such a scenario the evaluated filter is disconn ...

2007