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Jun 27, 2012
Conferences: ICML
Machine Learning
Cryptography and Security

Poisoning Attacks against Support Vector Machines

We investigate a family of poisoning attacks against Support Vector Machines (SVM). Such attacks inject specially crafted training data that increase…
Sep 19, 2018
Numerical Analysis

Identifying the lights position in photometric stereo under unknown …

Reconstructing the 3D shape of an object from a set of images is a classical problem in Computer Vision. Photometric stereo is one of the possible ap…
Jul 18, 2019
Computer Vision

Analysis of "User-Specific Effect" and Impact of Operator Skills on …

Fingerprint Liveness detection, or presentation attacks detection (PAD), that is, the ability of detecting if a fingerprint submitted to an electroni…
Dec 08, 2017
Computer Vision
Cryptography and Security
Computer Science and Game Theory
Machine Learning

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learni…

Learning-based pattern classifiers, including deep networks, have demonstrated impressive performance in several application domains, ranging from co…
Jun 29, 2016
Networking and Internet Architecture

An IoT Architecture for Wide Area Measurement Systems: a Virtualized …

Internet of Things (IoT) technologies are pervading different application domains by relying on sensing and actuating devices that share, process and…
Jan 28, 2015
Information Theory
Networking and Internet Architecture

On the stability of asynchronous Random Access Schemes

Slotted Aloha-based Random Access (RA) techniques have recently regained attention in light of the use of Interference Cancellation (IC) as a mean to…
Aug 21, 2017
Cryptography and Security
Machine Learning

Evasion Attacks against Machine Learning at Test Time

In security-sensitive applications, the success of machine learning depends on a thorough vetting of their resistance to adversarial data. In one per…
Nov 23, 2017
Computers and Society
Cryptography and Security

A blockchain-based Decentralized System for proper handling of tempor…

Temporary work is an employment situation useful and suitable in all occasions in which business needs to adjust more easily and quickly to workload …
Oct 27, 2017
Cryptography and Security

Adversarial Detection of Flash Malware: Limitations and Open Issues

During the past two years, Flash malware has become one of the most insidious threats to detect, with almost 600 critical vulnerabilities targeting A…
May 08, 2012
Disordered Systems and Neural Networks
Quantum Gases
Social and Information Networks
Physics and Society

Quantum-Classical Transitions in Complex Networks

The inherent properties of specific physical systems can be used as metaphors for investigation of the behavior of complex networks. This insight has…
Mar 10, 2015
Physics and Society

Green power grids: how energy from renewable sources affects network …

The increasing attention to environmental issues is forcing the implementation of novel energy models based on renewable sources, fundamentally chang…
Jan 11, 2019
Cryptography and Security

Explaining Vulnerabilities of Deep Learning to Adversarial Malware …

Recent work has shown that deep-learning algorithms for malware detection are also susceptible to adversarial examples, i.e., carefully-crafted pertu…
Jan 26, 2015
Information Theory
Networking and Internet Architecture

Average power limitations in Sliding Window Contention Resolution D…

Recently a new Random Access technique based on Aloha and using Interference Cancellation (IC) named Sliding Window Contention Resolution Diversity S…
Jun 06, 2017
Machine Learning
Computer Vision

Progressive Boosting for Class Imbalance

Pattern recognition applications often suffer from skewed data distributions between classes, which may vary during operations w.r.t. the design data…
Aug 31, 2017
Machine Learning
Cryptography and Security

On Security and Sparsity of Linear Classifiers for Adversarial Settin…

Machine-learning techniques are widely used in security-related applications, like spam and malware detection. However, in such settings, they have b…
Nov 15, 2016
Cryptography and Security
Machine Learning

AdversariaLib: An Open-source Library for the Security Evaluation of …

We present AdversariaLib, an open-source python library for the security evaluation of machine learning (ML) against carefully-targeted attacks. It s…
Mar 14, 2016
Software Engineering

Mining Valence, Arousal, and Dominance - Possibilities for Detecting …

Similar to other industries, the software engineering domain is plagued by psychological diseases such as burnout, which lead developers to lose inte…
Jul 11, 2014
Systems and Control

Consensus in multi-agent systems with second-order dynamics and non…

In this paper consensus in second-order multi-agent systems with a non-periodic sampled-data exchange among agents is investigated. The sampling is r…
Dec 04, 2017
Neural and Evolutionary Computation
Hardware Architecture
Distributed
Parallel
and Cluster Computing

NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CN…

Deep convolutional neural networks (CNNs) obtain outstanding results in tasks that require human-level understanding of data, like image or speech re…
Mar 12, 2018
Cryptography and Security

Adversarial Malware Binaries: Evading Deep Learning for Malware Det…

Machine-learning methods have already been exploited as useful tools for detecting malicious executable files. They leverage data retrieved from malw…
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