Dr. Rongxuan Peng received his B.Eng. degree in Computer Science and Technology from Shenzhen University in June 2021, and his Ph.D. degree in Electronic Information from the same university in June 2026. His research interests include AI-generated manipulation forensics, adversarial attacks and defenses, among others. He has published multiple academic papers in internationally renowned journals and conferences, including T-PAMI, T-IFS, ACM MM, and ICASSP.

彭荣煊博士于2021年6月获得深圳大学计算机科学与技术专业工学学士学位，2026年6月于同校获得电子信息专业工学博士学位。他的研究兴趣包括AI生成篡改取证，对抗攻击与防御等，并在T-PAMI、T-IFS、ACM MM、ICASSP等国际知名期刊以及人工智能顶级会议上发表了多篇学术论文。

Selected Papers:

[1] Peng R, Tan S, Mo X, Li B, and_Huang J. Employing Reinforcement Learning to Construct a Decision-making Environment for Image Forgery Localization[J]. IEEE Transactions on Information Forensics and Security (T-IFS), 2024, 19: 4820-4834. （SCI一区, TOP期刊, 影响因子8.0）

[2] Peng R, Tan S, Mo X, Alex Kot, and_Huang J. Active Adversarial Noise Suppression for Image Forgery Localization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2026, 48(6): 6437－6451. （SCI一区, TOP期刊, 影响因子18.6）

[3] Peng R, Mo X, Tan S, Li B, and_Huang J. A Keyless Extraction Framework Targeting at Deep Learning Based Image-Within-Image Models[C]. Proceedings of the IEEE International Conference on Acoustics, Speech_and_Signal Processing (ICASSP), 2024, pp. 12846-12850. （CCF-B类会议）

[4] Mo X, Tan S, Peng R, Li B, and_Huang J. Query-Efficient Hard-Label Attacks against Black-Box Image Forgery Localization Model via Reinforcement Learning[J]. IEEE Transactions on Information Forensics and Security (T-IFS), 2026, 21: 4578-4593.（SCI一区, TOP期刊, 影响因子8 .0）

[5] Wang Y, Chen S, Wang H, Peng R, Yao T, Tan S, Chen C, Li B, and_Ding S. ForgeryVCR: Visual-Centric Reasoning via Efficient Forensic Tools in MLLMs for Image Forgery Detection and Localization[C]. ACM International Conference on Multimedia (ACM MM), 2026. （CCF-A类会议）