Overview
With the modern prevalence of social media, and recent advancements in automated image modifications, determining the authenticity of questionable data is more important than ever before. We have developed methods to address several modalities in this domain, including detection of GANs, adversarial perturbations, and satellite image metadata manipulation. Further works had demonstrated adversarial attacks against these methods, and introduced tools to increase robustness against such attacks.
Related Publications
“SATTVA: SpArsiTy inspired classificaTion of malware VAriants”, Lakshmanan Nataraj, S Karthikeyan, B.S. Manjunath, ACM Workshop on Information Hiding and Multimedia Security (IH and MMSEC), Portland, Oregon, Jun. 2015.
“SARVAM: Search And RetrieVAl of Malware”, Lakshmnanan Nataraj, Dhilung Kirat, B.S. Manjunath and Giovanni Vigna, Annual Computer Security Applications Conference (ACSAC) Workshop on Next Generation Malware Attacks and Defense (NGMAD), New Orleans, Dec. 2013.
“SigMal: A Static Signal Processing Based Malware Triage”, Dhilung Kirat, Lakshmanan Nataraj, Giovanni Vigna and B.S. Manjunath, Annual Computer Security Applications Conference (ACSAC), Dec. 2013.
“A Comparative Assessment of Malware Classification using Binary Texture Analysis and Dynamic Analysis”, Lakshmanan Nataraj, Vinod Yegneswaran, Phil Porras, Jian Zhang, Workshop on Artificial Intelligence and Security (AISec), Chicago, Oct. 2011.
“Malware Images: Visualization and Automatic Classification”, Lakshmanan Nataraj, S. Karthikeyan, Gregoire Jacob, B.S. Manjunath, International Symposium on Visualization for Cyber Security (VizSec) , Jul. 2011.
