Researchers, academics, and tech professionals from around the world to lead an in-depth workshop at Avast’s upcoming virtual conference
Avast and the Czech Technical University in Prague (CTU) have announced details of the workshop sessions for the 2020 CyberSec&AI Connected conference. Aimed at academics and industry professionals who operate at the intersection of AI, cybersecurity and machine learning, the workshop focuses on the theme of AI for privacy and security.
“We are really excited to have put together such a strong set of workshop presentations,” says Petr Somol, AI Research Director at Avast. “The quality of presenters — and the spectrum of institutions and organizations they represent — offer delegates a real chance to deep dive into the very latest research and thinking within AI, cybersecurity, and privacy.”
The workshop forms part of an impressive conference agenda that includes speakers such as Roger Dingledine (Tor Project), Garry Kasparov (Chess Grandmaster), Carmela Troncoso (EPLF Switzerland) and Hany Farid (UC Berkeley).
CyberSec&AI Connected will be a fully immersive digital experience with live Q&As with speakers and workshop hosts as well as online networking sessions. All attendees have access to a Virtual Library, which will make all eight plus hours of presentations available after the event.
Workshop agenda
Academic sessions
Efficient Black-box Optimization of Adversarial EXE Windows Malware
Luca Demetrio, PhD Student, Università degli Studi di Genova
Revisiting Concept Drift Detection in Malware Classification
Feargus Pendlebury, PhD Cybersecurity Researcher, King’s College London
Towards Explainable Representations of Malware Behavior
Paul Prasse, Postdoc, Cisco & University of Potsdam
GLYPH: Efficient ML-based Detection of Heap Spraying Attacks
Fabio Pierazzi, Assistant Professor, King’s College London
Industry sessions
A Machine-learning Method to Explore the UEFI Landscape
Filip Mazan, ESET
The Current State of AI Generated Text Detection
Amanda House and Sherin Mary Mathews, McAfee
Model Evaluation under Class Imbalance Shift
Jan Brabec, Cisco & CTU
Evading Machine Learning Antimalware Models: Lessons Learned
Hyrum Anderson, Microsoft
Getting Passive Aggressive About False Positives
Bobby Filar, Elastic
Secure your place now
To reserve your place at CyberSec&AI Connected, visit the conference booking page. Those looking to buy more than once access pass can take advantage of a free ticket for every two tickets. Additionally, there is a special 50% discount for academics.