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Universal Adversarial Attacks on Text Classifiers

Publications associées (37)

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On-line anomaly detection and resilience in classifier ensembles

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Hesam Sagha, Hamidreza Bayati

Detection of anomalies is a broad field of study, which is applied in different areas such as data monitoring, navigation, and pattern recognition. In this paper we propose two measures to detect anomalous behaviors in an ensemble of classifiers by monitor ...

Elsevier2013

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Hesam Sagha, Daniel Roggen

There is a growing interest on using ambient and wearable sensors for human activity recognition, fostered by several application domains and wider availability of sensing technologies. This has triggered increasing attention on the development of robust m ...

Elsevier2013

Performance Benchmarking of RVC based Multimedia Specifications

Marco Mattavelli, Junaid Jameel Ahmad

The Reconfigurable Video Coding (RVC) framework was developed to specify video codecs as abstract and as much as possible implementation-agnostic descriptions, which are supposed to be processed by code synthesis tools to automatically generate implementat ...

2013

Adding Meaning to Your Steps (Keynote Paper)

Stefano Spaccapietra, Christine Parent

Mobility data is becoming an important player in many application domains. Many techniques have been elaborated to extract statistical knowledge from the data sets gathering raw data tracks about the moving objects of interest to an application. These data ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2011

Generating, animating, and rendering varied individuals for real-time crowds

Jonathan Maim

To simulate realistic crowds of virtual humans in real time, three main requirements need satisfaction. First of all, quantity, i.e., the ability to simulate thousands of characters. Secondly, quality, because each virtual human composing a crowd needs to ...

EPFL2009

Machine learning for information retrieval

David Grangier

In this thesis, we explore the use of machine learning techniques for information retrieval. More specifically, we focus on ad-hoc retrieval, which is concerned with searching large corpora to identify the documents relevant to user queries. This identific ...

EPFL2008

Machine Learning for Information Retrieval

David Grangier

École Polytechnique Fédérale de Lausanne2008

Machine Learning for Information Retrieval

David Grangier

IDIAP2008

On Optimal Replication Group Splits in P2P Data Stores Based on the Hypercube

P2P data stores excel if availability of inserted data items must be guaranteed. Their inherent mechanisms to counter peer pop- ulation dynamics make them suitable for a wide range of application domains. This paper presents and analyzes the split maintena ...

GI2007

Keyword based indexing and searching over storage resource broker

Laurent Francioli, Adnan Abid

A keyword based metadata indexing and searching facility for Storage Resource Broker (SRB) is presented here. SRB is a popular data grid based storage system that provides means to store data and associate metadata information with the stored data. The met ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2007