activity
20202026
most citedA Survey of Privacy Attacks in Machine Learning

227 citations · 262 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2026

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…

cs.CR2024

Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments

Maria Rigaki, Carlos Catania, Sebastian Garcia

Large Language Models (LLMs) have shown remarkable potential across various domains, including cybersecurity. Using commercial cloud-based LLMs may be undesirable due to privacy co…

cs.CR2023★ 8 cited

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…

cs.CR2023★ 15 cited

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…

cs.CR2023★ 1 cited

Attacker Profiling Through Analysis of Attack Patterns in Geographically Distributed Honeypots

Veronica Valeros, Maria Rigaki, Sebastian Garcia

Honeypots are a well-known and widely used technology in the cybersecurity community, where it is assumed that placing honeypots in different geographical locations provides better…

cs.CR2020★ 227 cited

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…

cs.CR2020★ 11 cited

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…