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

2 citations · 2 across the 2 of their papers we have counts for

collaborators

31 papers

cs.CL2026

Audio Sentiment Analysis via Distillation and Cross-Modal Integration of Generated Multilingual Transcripts

Andrei-George Durdun, Victor Constantinescu, Radu Tudor Ionescu

Automatically recognizing the sentiment, positive or negative, from speech is a challenging task, requiring both the analysis of vocal inflections and the interpretation of uttered…

cs.CV2026

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…

cs.CR2026

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.CL2026

Multilingual Coreference Resolution via Cycle-Consistent Machine Translation

Adriana-Valentina Costache, Eduard Poesina, Silviu-Florin Gheorghe +2

Coreference resolution is a core NLP task, having a broad range of downstream applications, e.g.~machine translation, question answering, document summarization, etc. While the tas…

cs.CV2026

MTL-MAD: Multi-Task Learners are Effective Medical Anomaly Detectors

Bogdan Alexandru Bercean, Florinel Alin Croitoru, Vlad Hondru +3

Anomaly detection in medical images is a challenging task, since anomalies are not typically available during training. Recent methods leverage a single pretext task coupled with a…

cs.CV2026

NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge Report

Andrei Dumitriu, Aakash Ralhan, Florin Miron +32

This report presents the NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge, which targets automatic rip current understanding in images. Rip currents are haza…