Antoine MALLET

Antoine MALLET is a Researcher affiliated with the Université de Technologie de Troyes (UTT). His research focuses on digital forensics, AI-generated image detection, and steganalysis. He holds a Doctorate (PhD) and is active in publishing cutting-edge work on topics such as deepfake detection, cover-source mismatch analysis, and statistical methods for image forensics. His office is located in H115, and he can be contacted at antoine.mallet@utt.fr.

Key research contributions include methodologies for detecting AI-generated content through noise correlation analysis, mitigating cover-source mismatch in steganalysis, and developing universal detectors for synthesized images. His work bridges machine learning, signal processing, and cybersecurity to address modern challenges in digital media forensics.

Recent publications (2023-2025) emphasize statistical approaches, matrix-based techniques, and interdisciplinary applications in forensic science. No scientific awards are explicitly mentioned, though his prolific output suggests impactful contributions to the field.

Antoine’s research also explores the intersection of deepfakes and steganography, proposing systematic reviews and novel frameworks to enhance multimedia security. His work aligns with UTT’s commitment to technological innovation and data protection.