4 papers
AutoMalDesc: Large-Scale Script Analysis for Cyber Threat Research
Alexandru-Mihai Apostu, Andrei Preda, Alexandra Daniela Damir +4
Generating thorough natural language explanations for threat detections remains an open problem in cybersecurity research, despite significant advances in automated malware detecti…
IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks
Sebastian-Vasile Echim, Andrei-Alexandru Preda, Dumitru-Clementin Cercel +1
Deep neural networks currently dominate many fields of the artificial intelligence landscape, achieving state-of-the-art results on numerous tasks while remaining hard to understan…
Scaling Federated Learning Solutions with Kubernetes for Synthesizing Histopathology Images
Andrei-Alexandru Preda, Iulian-Marius Tăiatu, Dumitru-Clementin Cercel
In the field of deep learning, large architectures often obtain the best performance for many tasks, but also require massive datasets. In the histological domain, tissue images ar…
UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles
Andrei-Alexandru Preda, Dumitru-Clementin Cercel, Traian Rebedea +1
This paper describes the solutions submitted by the UPB team to the AuTexTification shared task, featured as part of IberLEF-2023. Our team participated in the first subtask, ident…