| 2025 | ICASSP | Audio-Visual Deepfake Detection With Local Temporal Inconsistencies. | Marcella Astrid, Enjie Ghorbel, Djamila Aouada |
| 2025 | ICCV | Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection. | Dat Nguyen, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada |
| 2024 | BMVC | Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies. | Marcella Astrid, Enjie Ghorbel, Djamila Aouada |
| 2024 | CVPR | LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection. | Dat Nguyen, Nesryne Mejri, Inder Pal Singh, Polina Kuleshova, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada |
| 2024 | ICIP | Statistics-Aware Audio-Visual Deepfake Detector. | Marcella Astrid, Enjie Ghorbel, Djamila Aouada |
| 2021 | BMVC | Learning Not to Reconstruct Anomalies. | Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee |
| 2020 | CVPR | SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. | Jin-Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee |
| 2020 | CVPR | Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. | Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Seung-Ik Lee |
| 2020 | ECCV | CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. | Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee |