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Publications associées (21)

Page 1 sur 2

Machine Learning Security Against Data Poisoning: Are We There Yet?

Kathrin Grosse

Poisoning attacks compromise the training data utilized to train machine learning (ML) models, diminishing their overall performance, manipulating predictions on specific test samples, and implanting backdoors. This article thoughtfully explores these atta ...

Ieee Computer Soc2024

Machine Learning Security in Industry: A Quantitative Survey

Kathrin Grosse

Despite the large body of academic work on machine learning security, little is known about the occurrence of attacks on machine learning systems in the wild. In this paper, we report on a quantitative study with 139 industrial practitioners. We analyze at ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

HyperLogLog: Exponentially Bad in Adversarial Settings

Mathilde Aliénor Raynal

Computing the count of distinct elements in large data sets is a common task but naive approaches are memory-expensive. The HyperLogLog (HLL) algorithm (Flajolet et al., 2007) estimates a data set's cardinality while using significantly less memory than a ...

IEEE COMPUTER SOC2022

Safeguarding the IoT From Malware Epidemics: A Percolation Theory Approach

Ainur Zhaikhan

The upcoming Internet of Things (IoT) is foreseen to encompass massive numbers of connected devices, smart objects, and cyber-physical systems. Due to the large scale and massive deployment of devices, it is deemed infeasible to safeguard 100% of the devic ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads

Martin Jaggi, Sebastian Urban Stich

In distributed optimization, parameter updates from the gradient computing node devices have to be aggregated in every iteration on the orchestrating server. When these updates are sent over an arbitrary commodity network, bandwidth and latency can be limi ...

MICROTOME PUBLISHING2021

OrthoNet: Multilayer Network Data Clustering

Pascal Frossard, Mireille El Gheche

Network data appears in very diverse applications, like biological, social, or sensor networks. Clustering of network nodes into categories or communities has thus become a very common task in machine learning and data mining. Network data comes with some ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

FirmFuzz: Automated IoT Firmware Introspection and Analysis

Mathias Josef Payer

While the number of IoT devices grows at an exhilarating pace their security remains stagnant. Imposing secure coding standards across all vendors is infeasible. Testing individual devices allows an analyst to evaluate their security post deployment. Any d ...

ASSOC COMPUTING MACHINERY2019

Labeled PSI from Fully Homomorphic Encryption with Malicious Security

Zhicong Huang

Private Set Intersection (PSI) allows two parties, the sender and the receiver, to compute the intersection of their private sets without revealing extra information to each other. We are interested in the unbalanced PSI setting, where (1) the receiver's s ...

ASSOC COMPUTING MACHINERY2018

OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding

Bryan Alexander Ford, Philipp Svetolik Jovanovic, Linus Gasser, Eleftherios Kokoris Kogias, Nicolas Gailly

Designing a secure permissionless distributed ledger (blockchain) that performs on par with centralized payment processors, such as Visa, is a challenging task. Most existing distributed ledgers are unable to scale-out, i.e., to grow their total processing ...

IEEE2018

Adding flexibility to multi-tenant networks

Georgios Ioannidis

Cloud computing has been experiencing sharp development over the last years, leading to an increased demand for application migration to the cloud. Cloud providers, in an effort to attract more customers and earn their confidence, offer to tenants the illu ...

EPFL2018

Improving systems software security through program analysis and instrumentation

Volodymyr Kuznetsov

Security and reliability bugs are prevalent in systems software. Systems code is often written in low-level languages like C/C++, which offer many benefits but also delegate memory management and type safety to programmers. This invites bugs that cause cra ...

EPFL2016

Measuring and Managing Switch Diversity in Software Defined Networks

Maciej Leszek Kuzniar

Software Defined Networking (SDN) is a novel approach to building computer networks. Improved flexibility, simplified management and cost reduction promised by SDN makes many see it as the future of networking. The main insight of SDN is the separation of ...

EPFL2016

A composable method for real-time control of active distribution networks with explicit power set points. Part I: Framework

Mario Paolone, Jean-Yves Le Boudec, Lorenzo Enrique Reyes Chamorro, Andrey Bernstein

The conventional approach for the control of distribution networks, in the presence of active generationand/or controllable loads and storage, involves a combination of both frequency and voltage regulation atdifferent time scales. With the increased penet ...

Elsevier2015

What You Need to Know About SDN Flow Tables

Dejan Kostic, Peter Peresini, Maciej Leszek Kuzniar

SDN deployments rely on switches that come from various vendors and differ in terms of performance and available features. Understanding these differences and performance characteristics is essential for ensuring successful deployments. In this paper we me ...

Springer-Verlag Berlin2015

Scrambling-based tool for secure protection of JPEG images

Touradj Ebrahimi

JPEG scrambling tool is a flexible web-based tool with an intuitive and simple to use GUI and interface to secure visual information in a region of interest (ROI) of JPEG images. The tool demonstrates an efficient integration and use of security tools in J ...

2014

Game Theory Meets Network Security and Privacy

Jean-Pierre Hubaux

This survey provides a structured and comprehensive overview of research on security and privacy in computer and communication networks that use game-theoretic approaches. We present a selected set of works to highlight the application of game theory in ad ...

Assoc Computing Machinery2013

Robust Localization from Incomplete Local Information

Amin Karbasi

We consider the problem of localizing wireless devices in an ad-hoc network embedded in a

d

-dimensional Euclidean space. Obtaining a good estimation of where wireless devices are located is crucial in wireless network applications including environment m ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Hypergraph Clustering for Better Network Traffic Inspection

Boi Faltings, Li Pu

Networked computing environments are subject to configuration errors, unauthorized users, undesired activities and attacks by malicious software. These can be detected by monitoring network traffic, but network administrators are overwhelmed by the amount ...

2011

Data-centric trust in ephemeral networks

New network types require new security concepts. Surprisingly, trust – the ultimate goal of security – has not evolved as much as other concepts. In particular, the traditional notion of building trust in entities seems inadequate in an ephemeral environme ...

EPFL2009

Networks of mixed canonical-dissipative systems and dynamic hebbian learning

Max-Olivier Hongler, Julio Rodriguez

We study the dynamics of a network consisting of N diffusively coupled, stable- limit-cycle oscillators on which individual frequencies are parametrized by

w_k, k = 1, . . . ,N

. We introduce a learning rule which influences the wk by driving the system t ...

2009