227 citations · 277 across the 8 of their papers we have counts for
8 papers
Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents
Ondřej Lukáš, Jihoon Shin, Emilia Rivas +6
Autonomous offensive agents often fail to transfer beyond the networks on which they are trained. We isolate a minimal but fundamental shift -- unseen host/subnet IP reassignment i…
Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection
Md Abu Sayed, Asif Rahman, Christopher Kiekintveld +1
Domain Generation Algorithms (DGAs) are malicious techniques used by malware to dynamically generate seemingly random domain names for communication with Command & Control (C&C) se…
The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning
Maria Rigaki, Sebastian Garcia
Due to the proliferation of malware, defenders are increasingly turning to automation and machine learning as part of the malware detection tool-chain. However, machine learning mo…
Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments
Maria Rigaki, Ondřej Lukáš, Carlos A. Catania +1
Large Language Models (LLMs) have gained widespread popularity across diverse domains involving text generation, summarization, and various natural language processing tasks. Despi…
Catch Me If You Can: Improving Adversaries in Cyber-Security With Q-Learning Algorithms
Arti Bandhana, Ondřej Lukáš, Sebastian Garcia +1
The ongoing rise in cyberattacks and the lack of skilled professionals in the cybersecurity domain to combat these attacks show the need for automated tools capable of detecting an…
Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions
Maria Rigaki, Sebastian Garcia
Model stealing attacks have been successfully used in many machine learning domains, but there is little understanding of how these attacks work against models that perform malware…
A Survey of Privacy Attacks in Machine Learning
Maria Rigaki, Sebastian Garcia
As machine learning becomes more widely used, the need to study its implications in security and privacy becomes more urgent. Although the body of work in privacy has been steadily…
DNS Tunneling: A Deep Learning based Lexicographical Detection Approach
Franco Palau, Carlos Catania, Jorge Guerra +2
Domain Name Service is a trusted protocol made for name resolution, but during past years some approaches have been developed to use it for data transfer. DNS Tunneling is a method…