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]