Audio watermarking system for deepfake detection and media authentication.
EfficientNet+MTCNN deepfake detection achieving 87% accuracy with 12.96% EER - Multi-modal video forensics for misinformation prevention
Official repository for AADD-2025: 1st Adversarial Attacks on Deepfake Detectors Challenge - ACM Multimedia 2025 Grand Challenge. Investigating adversarial vulnerabilities in deepfake detection models through adversarial perturbations that evade classifiers while preserving visual similarity.
Aletheia is a multimodal ML architecture for forensic detection of synthetic video. Integrating deep learning and NLP, it analyzes spatiotemporal anomalies, biometric artifacts, and audio-linguistic misalignments. The framework performs cross-modal feature extraction to provide deterministic probability scoring for media authentication.
Multimodal deepfake detection with explainable AI, robustness validation, and calibrated trust scoring for real-world media.
Deepfake detection and media authentication with forensic analysis
Advanced multi-model deepfake detection framework combining ensemble machine learning with deep neural networks for robust image authentication and media forensics.
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