Poster Session

Friday
25th October

Poster Session

Refreshments and a chance to meet fellow delegates.

PhD Students & Researchers
Academic research in cybersecurity and AI
Break
11:00
-
11:30

Break / Poster session

Refreshments and a chance to meet fellow delegates.

In collaboration with:

POSTER TOPIC

Multiple Instance Neural Inference

Authors: Simon Mandlik, Tomas Pevny - Czech Technical University in Prague

Machine learning in the presence of random noise – fingerprinting of RSA private keys

Author: Adam Janovsky, Tomas Brazdil, Matus Nemec, Petr Svenda - Centre for Research on Cryptography and Security, Masaryk University, Czech Republic

Sequential Inference on Graphs with Costly Features

Authors: Jaromir Janisch, Tomas Pevny and Viliam Lisy - Czech Technical University in Prague

Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries

Authors: Luca Demetrio, Biggio Battista, Lavorio Giovanni, Roli Fabio, Armando Alessandro - University of Cagliary, Universiy of Genova, Italy

Detecting Adversarial Examples - A Lesson from Multimedia Security

Author: Pascal Schöttle, Alexander Schlögl, Cecilia Pasquini, Rainer Böhme - University of Innsbruck, Austria

Deep Content Analysis Countdown

Authors: Marina Volkova, Petr Chmelar, Adam Husar - GreyCortex s.r.o., Czech Republic

Exploring sequential feature learning for network intrusion detection

Authors: Vera Rimmer, Ilias Tsingenopoulos, Davy Preuveneers and Wouter Joosen - DistriNet – DistriNet – KU Leuven, Belgium

A hybrid approach to allow unsupervised clustering of both connections and hosts in clustering of both connections and hosts in networked data

Author: Mark Patrick Roehling, Azqa Nadeem, Sicco Verwer - Delft University of Technology, Netherlands

Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks

Authors: Maura Pintor, Ambra Demontis, Marco Melis, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli - University of Cagliari, Cagliari, Italy

Semantic approach for knowledge sharing in security domain

Authors: Stefan Balogh, Peter Svec - FEI STU Bratislava, Slovakia

Enabling Fair ML Evaluations for Security

Author: Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro - King's College London and Royal Holloway, University of London

Realistic Adversarial ML Attacks in the Problem-Space

Author: Fabio Pierazzi, Feargus Pendlebury, Jacopo Cortellazzi, Lorenzo Cavallaro - King's College London and Royal Holloway, University of London

Detecting Concept Drift in Malware Classification Models

Author: Roberto Jordaney, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro - King's College London and Royal Holloway, University of London

Device Type Classification from Network Data

Nina Marjanovic, Nemanja Milicevic, Branislav Vezilic, Novica Sarenac, Predrag Njegovanovic - University of Novi Sad, Serbia