activity
20132023
most citedA Least Squares Approach to the Static Traffic Analysis of High-Latency Anonymous Communication Systems

15 citations · 61 across the 17 of their papers we have counts for

collaborators

19 papers

cs.CR2023

Information Forensics and Security: A quarter-century-long journey

Mauro Barni, Patrizio Campisi, Edward J. Delp +7

Information Forensics and Security (IFS) is an active R&D area whose goal is to ensure that people use devices, data, and intellectual properties for authorized purposes and to fac…

cs.CR2023★ 9 cited

Towards Traitor Tracing in Black-and-White-Box DNN Watermarking with Tardos-based Codes

Elena Rodriguez-Lois, Fernando Perez-Gonzalez

The growing popularity of Deep Neural Networks, which often require computationally expensive training and access to a vast amount of data, calls for accurate authorship verificati…

cs.CR2019

Filter Design for Delay-Based Anonymous Communications

Simon Oya, Fernando Pérez-González, Carmela Troncoso

In this work, we address the problem of designing delay-based anonymous communication systems. We consider a timed mix where an eavesdropper wants to learn the communication patter…

cs.CR2019★ 2 cited

Understanding the Effects of Real-World Behavior in Statistical Disclosure Attacks

Simon Oya, Carmela Troncoso, Fernando Pérez-González

High-latency anonymous communication systems prevent passive eavesdroppers from inferring communicating partners with certainty. However, disclosure attacks allow an adversary to r…

cs.CR2019★ 15 cited

A Least Squares Approach to the Static Traffic Analysis of High-Latency Anonymous Communication Systems

Fernando Pérez-González, Carmela Troncoso, Simon Oya

Mixes, relaying routers that hide the relation between incoming and outgoing messages, are the main building block of high-latency anonymous communication networks. A number of so-…

cs.CR2019★ 7 cited

Meet the Family of Statistical Disclosure Attacks

Simon Oya, Carmela Troncoso, Fernando Pérez-González

Disclosure attacks aim at revealing communication patterns in anonymous communication systems, such as conversation partners or frequency. In this paper, we propose a framework to…

cs.IT2019★ 1 cited

MPEG-2 Prediction Residue Analysis

David Vázquez-Padín, Fernando Pérez-González

Based on the use of synthetic signals and autoregressive models to characterize temporal dependencies and inter prediction processes, a semi-analytic model is built to explain the…

cs.CR2018

Rethinking Location Privacy for Unknown Mobility Behaviors

Simon Oya, Carmela Troncoso, Fernando Pérez-González

Location Privacy-Preserving Mechanisms (LPPMs) in the literature largely consider that users' data available for training wholly characterizes their mobility patterns. Thus, they h…

cs.CR2017★ 4 cited

Multivariate Cryptosystems for Secure Processing of Multidimensional Signals

Alberto Pedrouzo-Ulloa, Juan Ramón Troncoso-Pastoriza, Fernando Pérez-González

Multidimensional signals like 2-D and 3-D images or videos are inherently sensitive signals which require privacy-preserving solutions when processed in untrustworthy environments,…

cs.CR2017★ 1 cited

Is Geo-Indistinguishability What You Are Looking for?

Simon Oya, Carmela Troncoso, Fernando Pérez-González

Since its proposal in 2013, geo-indistinguishability has been consolidated as a formal notion of location privacy, generating a rich body of literature building on this idea. A pro…

cs.CR2017★ 11 cited

Back to the Drawing Board: Revisiting the Design of Optimal Location Privacy-preserving Mechanisms

Simon Oya, Carmela Troncoso, Fernando Pérez-González

In the last years we have witnessed the appearance of a variety of strategies to design optimal location privacy-preserving mechanisms, in terms of maximizing the adversary's expec…

cs.CR2017★ 3 cited

Derivation of the Asymptotic Eigenvalue Distribution for Causal 2D-AR Models under Upscaling

David Vázquez-Padín, Fernando Pérez-González, Pedro Comesaña-Alfaro

This technical report describes the derivation of the asymptotic eigenvalue distribution for causal 2D-AR models under an upscaling scenario. Specifically, it tackles the analytica…

cs.CR2016★ 3 cited

On Ring Learning with Errors over the Tensor Product of Number Fields

Alberto Pedrouzo-Ulloa, Juan Ramón Troncoso-Pastoriza, Fernando Pérez-González

The "Ring Learning with Errors" (RLWE) problem was formulated as a variant of the "Learning with Errors" (LWE) problem, with the purpose of taking advantage of an additional algebr…

cs.CR2016

Number Theoretic Transforms for Secure Signal Processing

Alberto Pedrouzo-Ulloa, Juan Ramón Troncoso-Pastoriza, Fernando Pérez-González

Multimedia contents are inherently sensitive signals that must be protected whenever they are outsourced to an untrusted environment. This problem becomes a challenge when the untr…

cs.IT2016

Report on Dirty Paper Coding Estimation with multidimensional lattices

Pedro Comesaña-Alfaro, Fernando Pérez-González

In this report we include some derivations on a channel estimation method based on the use of Dirty Paper Coding. Specifically, we analyze the proposed method, named Dirty Paper-ba…

cs.CR2015★ 1 cited

Fast sequential forensic camera identification

Fernando Pérez-González, Iria González-Iglesias, Miguel Masciopinto +1

Two sequential camera source identification methods are proposed. Sequential tests implement a log-likelihood ratio test in an incremental way, thus enabling a reliable decision wi…

cs.CR2013★ 2 cited

A highly optimized flow-correlation attack

Juan A. Elices, Fernando Perez-Gonzalez

Deciding that two network flows are essentially the same is an important problem in intrusion detection and in tracing anonymous connections. A stepping stone or an anonymity netwo…

cs.CR2013

The Flow Fingerprinting Game

Juan A. Elices, Fernando Perez-Gonzalez

Linking two network flows that have the same source is essential in intrusion detection or in tracing anonymous connections. To improve the performance of this process, the flow ca…

cs.CR2013★ 2 cited

Linking Correlated Network Flows through Packet Timing: a Game-Theoretic Approach

Juan A. Elices, Fernando Perez-Gonzalez

Deciding that two network flows are essentially the same is an important problem in intrusion detection or in tracing anonymous connections. A stepping stone or an anonymity networ…