Papers

  • Media Forensics
    • Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath, “Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices”, IS&T International Symposium on Electronic Imaging, 2021 [paper]
    • Lakshmanan Nataraj, Tajuddin Manhar Mohammed, B. S. Manjunath, Shivkumar Chandrasekaran, Arjuna Flenner, Amit K. Roy-Chowdhury, “Detecting GAN generated Fake Images using Co-occurrence Matrices”, IS&T International Symposium on Electronic Imaging, 2019 [paper]
    • Jawadul H. Bappy, Cody Simons, Lakshmanan Nataraj, Arjuna Flenner, B. S. Manjunath, Amit K. Roy-Chowdhury, “Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries”, IEEE Transactions on Image Processing (TIP), 2019 [paper]
    • Michael Goebel, Arjuna Flenner, Lakshmanan Nataraj, B. S. Manjunath, “Deep Learning Methods for Event Verification and Image Repurposing Detection”, IS&T International Symposium on Electronic Imaging, 2019 [paper]
    • Tajuddin Manhar Mohammed, Jason Bunk, Lakshmanan Nataraj, Jawadul H. Bappy, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Anit K. Roy-Chowdhury, Lawrence Peterson, “Boosting Image Forgery Detection using Resampling Detection and Copy-move analysis”, IS&T International Symposium on Electronic Imaging, 2018 [paper]
    • Arjuna Flenner, Lawrence Peterson, Jason Bunk, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, B. S. Manjunath, “Resampling Forgery Detection using Deep Learning and A-contrario analysis”, IS&T International Symposium on Electronic Imaging, 2018 [paper]
  • Malware Detection
    • Lakshmanan Nataraj, B. S. Manjunath, “SPAM: Signal Processing to Analyze Malware”, IEEE SIgnal ProcESSIng MagazInE, 2016 [paper]
    • Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath, “Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning”, Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS), 2021 [paper]
  • Adversarial Machine Learning
    • Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath, “Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions”, IS&T International Symposium on Electronic Imaging, 2021 [paper]
    • Jason Bunk, Srinjoy Chattopadhyay, B.S.Manjunath, Shivkumar Chandrasekaran,”Adversarially Optimized Mixup for Robust Classification”,2021[paper]
    • Carlos Torres, Tejaswi Nanjundaswamy, Shivkumar Chandrasekaran, “Uncertainty and Robustness Estimation Methods for Graphical Neural Networks Towards a Better Understanding of Architecture Performance”, Arxiv-Preprint [paper]
  • Video Analysis
    • Paul S, Torres C, Chandrasekaran S, Roy-Chowdhury AK. Complex Pairwise Activity Analysis Via Instance Level Evolution Reasoning. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020 May 4 (pp. 2378-2382). IEEE.[paper]
  • Active Learning
    • Paul S, Chandrasekaran S, Manjunath BS, Roy-Chowdhury AK. Exploiting Context for Robustness to Label Noise in Active Learning. arXiv preprint arXiv:2010.09066. 2020 Oct 18.[paper]
  • Maritime Activity Analysis
    • Warren N, Garrard B, Staudt E, Tesic J. Transfer learning of deep neural networks for visual collaborative maritime asset identification. In2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC) 2018 Oct 18 (pp. 246-255). IEEE.