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We continue to look deep into technology and push the boundaries of what’s possible.

Patents

Patent No. 12,229,686

Issued Feb. 18, 2025

Detecting Digital Human Face Image Manipulations (as amended)

Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran

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Patent No. US 11,854,113 B2

Issued Dec. 26, 2023

Deep Learning Methods for Event Verification and Image Re‑Purposing Detection

Lakshmanan Nataraj, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran

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Patent No. 11,836,634

Issued Dec. 05, 2023

Detecting Digital Image Manipulations

Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Bangalore S. Manjunath, Shivkumar Chandrasekaran

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Patent No. 12,273,374

Allowed Apr. 08, 2025

Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning

Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Bangalore S. Manjunath, Shivkumar Chandrasekaran

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Patent No. 11,842,471 В2

Allowed Dec. 12, 2023

Rational Polynomial Coefficient Based Metadata Verification

Chandrakanth Gudavalli, Michael Gene Goebel, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, Shivkumar Chandrasekaran, Bangalore S. Manjunath

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Patent No. US 2020/0175164 A1

Allowed Jun. 04, 2020

Malware Classification and Detection Using Audio Descriptors

Lakshmanan Nataraj, Bangalore S. Manjunath, Shivkumar Chandrasekaran

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Publications

Active Learning

2023

CIMGEN: Controlled Satellite Image Manipulation by Finetuning Pretrained Generative Models on Limited Data

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Media Forensics

2023

Resampling estimation based RPC metadata verification in satellite imagery
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Malware Detection

2022

MalGrid: Visualization Of Binary Features In Large Malware Corpora
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Malware Detection

2021

HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis
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Malware Detection

2021

Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning
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Adversarial Machine Learning

2021

Uncertainty and Robustness Estimation Methods for Graphical Neural Networks
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Adversarial Machine Learning

2021

Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions
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Media Forensics

2021

Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices
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Adversarial Machine Learning

2021

Adversarially Optimized Mixup for Robust Classification
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Find out what we’ve developed alongside these discoveries.

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