Shivkumar Chandrasekaran

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 40

Top Topics

Malware Detection

Reverse Engineer

Top Venues

Media Watermarking, Security, and Forensics

J. Comput. Phys.

Publications

Nithin Govindarajan, Shivkumar Chandrasekaran
Tree semi-separable matrices: a simultaneous generalization of sequentially and hierarchically semi-separable representations. CoRR (2024)
Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data. CoRR (2024)
Nithin Govindarajan, Raphaël Widdershoven, Shivkumar Chandrasekaran, Lieven De Lathauwer
A Fast Algorithm for Computing Macaulay Null Spaces of Bivariate Polynomial Systems. SIAM J. Matrix Anal. Appl. 45 (1) (2024)
Chandrakanth Gudavalli, Michael Goebel, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
Resampling Estimation Based RPC Metadata Verification in Satellite Imagery. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Vamshi C. Madala, Shivkumar Chandrasekaran
CNNs are Myopic. CoRR (2022)
Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery. CVPR Workshops (2022)
Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
MalGrid: Visualization of Binary Features in Large Malware Corpora. MILCOM (2022)
Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
MalGrid: Visualization Of Binary Features In Large Malware Corpora. CoRR (2022)
Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery. CoRR (2021)
Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
OMD: Orthogonal Malware Detection using Audio, Image, and Static Features. MILCOM (2021)
Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
HAPSSA: Holistic Approach to PDF malware detection using Signal and Statistical Analysis. MILCOM (2021)
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)
Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions. Media Watermarking, Security, and Forensics (2021)
Jason Bunk, Srinjoy Chattopadhyay, B. S. Manjunath, Shivkumar Chandrasekaran
Adversarially Optimized Mixup for Robust Classification. CoRR (2021)
Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
Seam Carving Detection and Localization using Two-Stage Deep Neural Networks. CoRR (2021)
Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis. CoRR (2021)
Ethan N. Epperly, Nithin Govindarajan, Shivkumar Chandrasekaran
Minimal Rank Completions for Overlapping Blocks. CoRR (2021)
Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning. CoRR (2021)
Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions. CoRR (2021)
Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
Detection, Attribution and Localization of GAN Generated Images. Media Watermarking, Security, and Forensics (2021)
Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
Holistic Image Manipulation Detection using Pixel Cooccurrence Matrices. Media Watermarking, Security, and Forensics (2021)
Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features. CoRR (2021)
Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices. CoRR (2021)
Nithin Govindarajan, Ryan Mohr, Shivkumar Chandrasekaran, Igor Mezic
On the Approximation of Koopman Spectra of Measure-Preserving Flows. SIAM J. Appl. Dyn. Syst. 20 (1) (2021)
Sudipta Paul, Shivkumar Chandrasekaran, B. S. Manjunath, Amit K. Roy-Chowdhury
Exploiting Context for Robustness to Label Noise in Active Learning. CoRR (2020)
Sudipta Paul, Carlos Torres, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury
Complex Pairwise Activity Analysis Via Instance Level Evolution Reasoning. ICASSP (2020)
Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
Detection, Attribution and Localization of GAN Generated Images. CoRR (2020)
Abhejit Rajagopal, Vamshi C. Madala, Shivkumar Chandrasekaran, Peder E. Z. Larson
Predicting Generalization in Deep Learning via Local Measures of Distortion. CoRR (2020)
Lakshmanan Nataraj, Tajuddin Manhar Mohammed, B. S. Manjunath, Shivkumar Chandrasekaran, Arjuna Flenner, Jawadul H. Bappy, Amit K. Roy-Chowdhury
Detecting GAN generated Fake Images using Co-occurrence Matrices. Media Watermarking, Security, and Forensics (2019)
Shivkumar Chandrasekaran, Ethan Epperly, Nithin Govindarajan
Graph-Induced Rank Structures and their Representations. CoRR (2019)
Yan Dou, Ming Gu, Shivkumar Chandrasekaran
An efficient algorithm for bounded spectral matching with affine constraint. Numer. Linear Algebra Appl. 26 (5) (2019)
Nithin Govindarajan, Ryan Mohr, Shivkumar Chandrasekaran, Igor Mezic
On the Approximation of Koopman Spectra for Measure Preserving Transformations. SIAM J. Appl. Dyn. Syst. 18 (3) (2019)
Lakshmanan Nataraj, Tajuddin Manhar Mohammed, B. S. Manjunath, Shivkumar Chandrasekaran, Arjuna Flenner, Jawadul H. Bappy, Amit K. Roy-Chowdhury
Detecting GAN generated Fake Images using Co-occurrence Matrices. CoRR (2019)
Shivkumar Chandrasekaran, Nithin Govindarajan, Abhejit Rajagopal
Fast Algorithms for Displacement and Low-Rank Structured Matrices. ISSAC (2018)
Shivkumar Chandrasekaran, C. H. Gorman, Hrushikesh Narhar Mhaskar
Minimum Sobolev norm interpolation of scattered derivative data. J. Comput. Phys. 365 (2018)
Tajuddin Manhar Mohammed, Jason Bunk, Lakshmanan Nataraj, Jawadul H. Bappy, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, Lawrence A. Peterson
Boosting Image Forgery Detection using Resampling Features and Copy-move Analysis. Media Watermarking, Security, and Forensics (2018)
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 Features and Copy-move analysis. CoRR (2018)
Abhejit Rajagopal, Shivkumar Chandrasekaran, Hrushikesh Narhar Mhaskar
Deep Algorithms: designs for networks. CoRR (2018)
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. CVPR Workshops (2017)
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. CoRR (2017)
Anthony Hoogs, A. G. Amitha Perera, Roderic Collins, Arslan Basharat, Keith Fieldhouse, Chuck Atkins, Linus Sherrill, Benjamin Boeckel, Russell Blue, Matthew Woehlke, C. Greco, Zhaohui Sun, Eran Swears, Naresh P. Cuntoor, J. Luck, B. Drew, D. Hanson, D. Rowley, J. Kopaz, T. Rude, D. Keefe, A. Srivastava, S. Khanwalkar, A. Kumar, Chia-Chih Chen, J. K. Aggarwal, Larry S. Davis, Yaser Yacoob, A. Jain, Dong Liu, Shih-Fu Chang, Bi Song, Amit K. Roy-Chowdhury, Kenneth Sullivan, Jelena Tesic, Shivkumar Chandrasekaran, B. S. Manjunath, X. Wang, Qiang Ji, K. Reddy, J. Liu, Mubarak Shah, K. Chang, T. Chen, Mita Desai
An end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement. AVSS (2015)
Shivkumar Chandrasekaran, Hrushikesh Narhar Mhaskar
A minimum Sobolev norm technique for the numerical discretization of PDEs. J. Comput. Phys. 299 (2015)
Shivkumar Chandrasekaran, Karthik Jayaraman Jayaraman, Hrushikesh Narhar Mhaskar
Minimum Sobolev norm interpolation with trigonometric polynomials on the torus. J. Comput. Phys. 249 (2013)
Karthik Jayaraman Raghuram, Shivkumar Chandrasekaran, Joseph Moffitt, Ming Gu, Hrushikesh Narhar Mhaskar
Higher order numerical discretizations for exterior and biharmonic type PDEs. J. Comput. Appl. Math. 236 (18) (2012)
Jianlin Xia, Shivkumar Chandrasekaran, Ming Gu, Xiaoye S. Li
Fast algorithms for hierarchically semiseparable matrices. Numer. Linear Algebra Appl. 17 (6) (2010)
Luca Bertelli, Shivkumar Chandrasekaran, Frédéric Gibou, B. S. Manjunath
On the Length and Area Regularization for Multiphase Level Set Segmentation. Int. J. Comput. Vis. 90 (3) (2010)
Jianlin Xia, Shivkumar Chandrasekaran, Ming Gu, Xiaoye S. Li
Superfast Multifrontal Method for Large Structured Linear Systems of Equations. SIAM J. Matrix Anal. Appl. 31 (3) (2009)
Marco Zuliani, Luca Bertelli, Charles S. Kenney, Shivkumar Chandrasekaran, B. S. Manjunath
Drums, curve descriptors and affine invariant region matching. Image Vis. Comput. 26 (3) (2008)
Anindya Sarkar, Upamanyu Madhow, Shivkumar Chandrasekaran, Bangalore S. Manjunath
Adaptive MPEG-2 video data hiding scheme. Security, Steganography, and Watermarking of Multimedia Contents (2007)
Anindya Sarkar, Kaushal Solanki, Upamanyu Madhow, Shivkumar Chandrasekaran, Bangalore S. Manjunath
Secure Steganography: Statistical Restoration of the Second Order Dependencies for Improved Security. ICASSP (2) (2007)
Nicola Mastronardi, Gene H. Golub, Shivkumar Chandrasekaran, Marc Moonen, Paul Van Dooren, Sabine Van Huffel
Numerical Linear Algebra in Signal Processing Applications. EURASIP J. Adv. Signal Process. 2007 (2007)
Kenneth Sullivan, Upamanyu Madhow, Shivkumar Chandrasekaran, B. S. Manjunath
Steganalysis for Markov cover data with applications to images. IEEE Trans. Inf. Forensics Secur. 1 (2) (2006)
Kaushal Solanki, Upamanyu Madhow, B. S. Manjunath, Shivkumar Chandrasekaran, Ibrahim El-Khalil
'Print and Scan' Resilient Data Hiding in Images. IEEE Trans. Inf. Forensics Secur. 1 (4) (2006)
Kenneth Sullivan, Kaushal Solanki, B. S. Manjunath, Upamanyu Madhow, Shivkumar Chandrasekaran
Determining Achievable Rates for Secure, Zero Divergence, Steganography. ICIP (2006)
Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow, B. S. Manjunath, Shivkumar Chandrasekaran
Provably Secure Steganography: Achieving Zero K-L Divergence using Statistical Restoration. ICIP (2006)
Kenneth Sullivan, Upamanyu Madhow, Shivkumar Chandrasekaran, B. S. Manjunath
Steganalysis of spread spectrum data hiding exploiting cover memory. Security, Steganography, and Watermarking of Multimedia Contents (2005)
Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow, B. S. Manjunath, Shivkumar Chandrasekaran
Statistical restoration for robust and secure steganography. ICIP (2) (2005)
Kaushal Solanki, Upamanyu Madhow, B. S. Manjunath, Shivkumar Chandrasekaran
Modeling the print-scan process for resilient data hiding. Security, Steganography, and Watermarking of Multimedia Contents (2005)
Kaushal Solanki, Noah Jacobsen, Upamanyu Madhow, B. S. Manjunath, Shivkumar Chandrasekaran
Robust image-adaptive data hiding using erasure and error correction. IEEE Trans. Image Process. 13 (12) (2004)
Kenneth Sullivan, Zhiqiang Bi, Upamanyu Madhow, Shivkumar Chandrasekaran, B. S. Manjunath
Steganalysis of quantization index modulation data hiding. ICIP (2004)
Kaushal Solanki, Upamanyu Madhow, B. S. Manjunath, Shivkumar Chandrasekaran
Estimating and undoing rotation for print-scan resilient data hiding. ICIP (2004)
Yuan-Fang Wang, Dan Koppel, Shivkumar Chandrasekaran
Toward Real-Time, Physically-Correct Soft Tissue Behavior Simulation. ISBI (2004)
Onkar Dabeer, Kenneth Sullivan, Upamanyu Madhow, Shivkumar Chandrasekaran, B. S. Manjunath
Detection of hiding in the least significant bit. IEEE Trans. Signal Process. 52 (10) (2004)
Shivkumar Chandrasekaran, Ming Gu
A divide-and-conquer algorithm for the eigendecomposition of symmetric block-diagonal plus semiseparable matrices. Numerische Mathematik 96 (4) (2004)
Kenneth Sullivan, Onkar Dabeer, Upamanyu Madhow, B. S. Manjunath, Shivkumar Chandrasekaran
LLRT based detection of LSB hiding. ICIP (1) (2003)
Kaushal Solanki, Onkar Dabeer, B. S. Manjunath, Upamanyu Madhow, Shivkumar Chandrasekaran
Joint source-channel coding scheme for image-in-image data hiding. ICIP (2) (2003)
Kaushal Solanki, Noah Jacobsen, Shivkumar Chandrasekaran, Upamanyu Madhow, B. S. Manjunath
High-volume data hiding in images: Introducing perceptual criteria into quantization based embedding. ICASSP (2002)
Shivkumar Chandrasekaran, Ming Gu, Ali H. Sayed, K. E. Schubert
The Degenerate Bounded Errors-in-Variables Model. SIAM J. Matrix Anal. Appl. 23 (1) (2001)
Nicola Mastronardi, Shivkumar Chandrasekaran, Sabine Van Huffel
Fast and stable two-way algorithm for diagonal plus semi-separable systems of linear equations. Numer. Linear Algebra Appl. 8 (1) (2001)
Peng Wu, B. S. Manjunath, Shivkumar Chandrasekaran
An Adaptive Index Structure for High-Dimensional Similarity Search. IEEE Pacific Rim Conference on Multimedia (2001)
Ali H. Sayed, Shivkumar Chandrasekaran
Parameter estimation with multiple sources and levels of uncertainties. IEEE Trans. Signal Process. 48 (3) (2000)
Jay Winkeler, B. S. Manjunath, Shivkumar Chandrasekaran
Subset Selection for Active Object Recognition. CVPR (1999)
Shivkumar Chandrasekaran, Gene H. Golub, Ming Gu, Ali H. Sayed
Parameter Estimation in the Presence of Bounded Data Uncertainties. SIAM J. Matrix Anal. Appl. 19 (1) (1998)
Shivkumar Chandrasekaran, B. S. Manjunath, Yuan-Fang Wang, Jay Winkeler, Henry Zhang
An Eigenspace Update Algorithm for Image Analysis. CVGIP Graph. Model. Image Process. 59 (5) (1997)
Shivkumar Chandrasekaran, Gene H. Golub, Ming Gu, Ali H. Sayed
Parameter estimation in the presence of bounded modeling errors. IEEE Signal Process. Lett. 4 (7) (1997)
Ali H. Sayed, Andrea Garulli, Shivkumar Chandrasekaran
Iterative solutions of min-max parameter estimation with bounded data uncertainties. ICASSP (1997)
Shivkumar Chandrasekaran, Ali H. Sayed
Stabilizing the Generalized Schur Algorithm. SIAM J. Matrix Anal. Appl. 17 (4) (1996)
Shivkumar Chandrasekaran, Ilse C. F. Ipsen
On Rank-Revealing Factorisations. SIAM J. Matrix Anal. Appl. 15 (2) (1994)