[NAT2022a] Lakshmanan Nataraj, Bangalore S. Manjunath, Shivkumar Chandrasekaran, “Malware Classification and Detection Using Audio Descriptors,” Issued Feb 08, 2022, Patent No. 11,244,050. [patent]
[NAT2022b] Lakshmanan Nataraj, Bangalore S. Manjunath, Shivkumar Chandrasekaran, “Malware Classification and Detection Using Audio and Image Descriptors,” Allowed (Publication Apr 14, 2022, US 2022-0114256 A1). [patent]
[NAT2022c] Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran, “Detecting Digital Image Manipulations,” Issued Aug 30, 2022, Patent No. 11,429,812. [patent]
[NAT2023] Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran, “Detecting Digital Image Manipulations,” Issued Dec 05, 2023, Patent No. 11,836,634. [patent]
[GUD2023] Chandrakanth Gudavalli, Michael Gene Goebel, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, Shivkumar Chandrasekaran, Bangalore S. Manjunath, “Rational Polynomial Coefficient Based Metadata Verification,” Issued Dec 12, 2023, Patent No. 11,842,471. [patent]
[NAT2023] Lakshmanan Nataraj, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran, “Deep Learning Methods for Event Verification and Image Re-Purposing Detection,” Issued Dec 26, 2023, Patent No. 11,854,113. [patent]
[NAT2025] Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran, “Detecting Digital Human Face Image Manipulations (as amended),” Issued Feb 18, 2025, Patent No. 12,229,686. [patent]
[MOH2025] Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Bangalore S. Manjunath, Shivkumar Chandrasekaran, “Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning,” Allowed (to be granted Apr 08, 2025), Patent No. 12,273,374. [patent]
Publications
Media Forensics
Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath, “CIMGEN: Controlled Satellite Image Manipulation by Finetuning Pretrained Generative Models on Limited Data”, International Conference on Pattern Recognition, 2025 [paper]
Chandrakanth Gudavalli, Michael Goebel, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath, “Resampling estimation based RPC metadata verification in satellite imagery”, IEEE Transactions on Information Forensics and Security, 2023 [paper]
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]
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]
Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath, “Seam Carving Detection and Localization Using Two‑Stage Deep Neural Networks”, MDCWC, 2020 [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 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, Amit 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]
Jawadul H. Bappy, Amit K. Roy‑Chowdhury, Jason Bunk, Lakshmanan Nataraj, B. S. Manjunath, “Exploiting Spatial Structure for Localizing Manipulated Image Regions”, IEEE ICCV, 2017 [paper]
Jason Bunk, Jawadul H. Bappy, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy‑Chowdhury, Lawrence Peterson, “Detection and Localization of Image Forgeries using Resampling Features and Deep Learning”, IEEE CVPR Workshops, 2017 [paper]
Malware Detection
Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath, “MalGrid: Visualization Of Binary Features In Large Malware Corpora”, IEEE MILCOM, 2022 [paper]
Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath, “Malware Detection Using Frequency Domain‑Based Image Visualization and Deep Learning”, HICSS, 2021 [paper]
Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath, “HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis”, IEEE MILCOM, 2021 [paper]
Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath, “OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features”, IEEE MILCOM, 2021 [paper]
Lakshmanan Nataraj, B. S. Manjunath, “SPAM: Signal Processing to Analyze Malware”, IEEE Signal Processing Magazine, 2016 [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…”, ArXiv Preprint [paper]
Video Analysis
Paul S., Carlos Torres, Shivkumar Chandrasekaran, Amit K. Roy‑Chowdhury, “Complex Pairwise Activity Analysis Via Instance Level Evolution Reasoning”, IEEE ICASSP, 2020 [paper]
Active Learning
Paul S., Shivkumar Chandrasekaran, B. S. Manjunath, Amit K. Roy‑Chowdhury, “Exploiting Context for Robustness to Label Noise in Active Learning”, IEEE Transactions on Image Processing, 2020 [paper]
Maritime Activity Analysis
Warren N., Garrard B., Staudt E., Tesic J., “Transfer learning of deep neural networks for visual collaborative maritime asset identification”, IEEE CIC, 2018
