activity
20242026
most citedDeepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Real-time tightly coupled GNSS and IMU integration via Factor Graph Optimization

Radu-Andrei Cioaca, Paul Irofti, Cristian Rusu +3

Reliable positioning in dense urban environments remains challenging due to frequent GNSS signal blockage, multipath, and rapidly varying satellite geometry. While factor graph opt…

cs.RO2026

Real-time loosely coupled GNSS and IMU integration via Factor Graph Optimization

Radu-Andrei Cioaca, Cristian Rusu, Paul Irofti +3

Accurate positioning, navigation, and timing (PNT) is fundamental to the operation of modern technologies and a key enabler of autonomous systems. A very important component of PNT…

cs.SD2025★ 1 cited

XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark

Ioan-Paul Ciobanu, Andrei-Iulian Hiji, Nicolae-Catalin Ristea +3

Recent advances in audio generation led to an increasing number of deepfakes, making the general public more vulnerable to financial scams, identity theft, and misinformation. Audi…

cs.CR2025

Detecting and Mitigating DDoS Attacks with AI: A Survey

Alexandru Apostu, Silviu Gheorghe, Andrei Hîji +5

Distributed Denial of Service attacks represent an active cybersecurity research problem. Recent research shifted from static rule-based defenses towards AI-based detection and mit…

cs.CV2024★ 3 cited

Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook

Florinel-Alin Croitoru, Andrei-Iulian Hiji, Vlad Hondru +7

We survey deepfake generation and detection techniques, covering all deepfake media types: image, video, audio and multimodal content. We identify various kinds of deepfakes and co…

math.NA2024

Learning Explicitly Conditioned Sparsifying Transforms

Andrei Pătraşcu, Cristian Rusu, Paul Irofti

Sparsifying transforms became in the last decades widely known tools for finding structured sparse representations of signals in certain transform domains. Despite the popularity o…