Lakshmanan Nataraj

45 papers A* 1A 1B 4C 2Journal 20Unranked 17

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data. CoRR Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
2024	—	`conf`	CIMGEN: Controlled Satellite Image Manipulation by Finetuning Pretrained Generative Models on Limited Data. ICPR (21) Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
2023	J	`jnl`	Resampling Estimation Based RPC Metadata Verification in Satellite Imagery. IEEE Trans. Inf. Forensics Secur. Chandrakanth Gudavalli, Michael Goebel, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
2022	J	`jnl`	MalGrid: Visualization Of Binary Features In Large Malware Corpora. CoRR Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
2022	—	`conf`	MalGrid: Visualization of Binary Features in Large Malware Corpora. MILCOM Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
2022	—	`conf`	SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery. CVPR Workshops Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
2021	—	`conf`	Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions. Media Watermarking, Security, and Forensics Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
2021	J	`jnl`	Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions. CoRR Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
2021	—	`conf`	Detection, Attribution and Localization of GAN Generated Images. Media Watermarking, Security, and Forensics Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
2021	J	`jnl`	HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis. CoRR Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
2021	—	`conf`	HAPSSA: Holistic Approach to PDF malware detection using Signal and Statistical Analysis. MILCOM Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
2021	J	`jnl`	Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices. CoRR Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
2021	—	`conf`	Holistic Image Manipulation Detection using Pixel Cooccurrence Matrices. Media Watermarking, Security, and Forensics Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
2021	—	`conf`	Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning. HICSS Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
2021	J	`jnl`	Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning. CoRR Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
2021	J	`jnl`	OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features. CoRR Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
2021	—	`conf`	OMD: Orthogonal Malware Detection using Audio, Image, and Static Features. MILCOM Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath
2021	J	`jnl`	Seam Carving Detection and Localization using Two-Stage Deep Neural Networks. CoRR Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
2021	J	`jnl`	SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery. CoRR Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
2020	J	`jnl`	Detection, Attribution and Localization of GAN Generated Images. CoRR Michael Goebel, Lakshmanan Nataraj, Tejaswi Nanjundaswamy, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath
2019	—	`conf`	Deep Learning Methods for Event Verification and Image Repurposing Detection. Media Watermarking, Security, and Forensics Michael Goebel, Arjuna Flenner, Lakshmanan Nataraj, Bangalore S. Manjunath
2019	J	`jnl`	Deep Learning Methods for Event Verification and Image Repurposing Detection. CoRR Michael Goebel, Arjuna Flenner, Lakshmanan Nataraj, B. S. Manjunath
2019	—	`conf`	Detecting GAN generated Fake Images using Co-occurrence Matrices. Media Watermarking, Security, and Forensics Lakshmanan Nataraj, Tajuddin Manhar Mohammed, B. S. Manjunath, Shivkumar Chandrasekaran, Arjuna Flenner, Jawadul H. Bappy, Amit K. Roy-Chowdhury
2019	J	`jnl`	Detecting GAN generated Fake Images using Co-occurrence Matrices. CoRR Lakshmanan Nataraj, Tajuddin Manhar Mohammed, B. S. Manjunath, Shivkumar Chandrasekaran, Arjuna Flenner, Jawadul H. Bappy, Amit K. Roy-Chowdhury
2019	J	`jnl`	Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries. CoRR Jawadul H. Bappy, Cody Simons, Lakshmanan Nataraj, B. S. Manjunath, Amit K. Roy-Chowdhury
2019	J	`jnl`	Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries. IEEE Trans. Image Process. Jawadul H. Bappy, Cody Simons, Lakshmanan Nataraj, B. S. Manjunath, Amit K. Roy-Chowdhury
2018	—	`conf`	Boosting Image Forgery Detection using Resampling Features and Copy-move Analysis. Media Watermarking, Security, and Forensics Tajuddin Manhar Mohammed, Jason Bunk, Lakshmanan Nataraj, Jawadul H. Bappy, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, Lawrence A. Peterson
2018	J	`jnl`	Boosting Image Forgery Detection using Resampling Features and Copy-move analysis. CoRR Tajuddin Manhar Mohammed, Jason Bunk, Lakshmanan Nataraj, Jawadul H. Bappy, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, Lawrence Peterson
2018	—	`conf`	Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis. Media Watermarking, Security, and Forensics Arjuna Flenner, Lawrence Peterson, Jason Bunk, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Bangalore S. Manjunath
2018	J	`jnl`	Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis. CoRR Arjuna Flenner, Lawrence Peterson, Jason Bunk, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, B. S. Manjunath
2017	—	`conf`	Detection and Localization of Image Forgeries Using Resampling Features and Deep Learning. CVPR Workshops Jason Bunk, Jawadul H. Bappy, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, Lawrence Peterson
2017	J	`jnl`	Detection and Localization of Image Forgeries using Resampling Features and Deep Learning. CoRR Jason Bunk, Jawadul H. Bappy, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Arjuna Flenner, B. S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, Lawrence Peterson
2017	A*	`conf`	Exploiting Spatial Structure for Localizing Manipulated Image Regions. ICCV Jawadul H. Bappy, Amit K. Roy-Chowdhury, Jason Bunk, Lakshmanan Nataraj, B. S. Manjunath
2016	J	`jnl`	SPAM: Signal Processing to Analyze Malware [Applications Corner]. IEEE Signal Process. Mag. Lakshmanan Nataraj, B. S. Manjunath
2016	J	`jnl`	SPAM: Signal Processing to Analyze Malware. CoRR Lakshmanan Nataraj, B. S. Manjunath
2015	B	`conf`	Features we trust! ICIP Amir M. Rahimi, Lakshmanan Nataraj, B. S. Manjunath
2015	C	`conf`	SATTVA: SpArsiTy inspired classificaTion of malware VAriants. IH&MMSec Lakshmanan Nataraj, S. Karthikeyan, B. S. Manjunath
2013	A	`conf`	SigMal: a static signal processing based malware triage. ACSAC Dhilung Kirat, Lakshmanan Nataraj, Giovanni Vigna, B. S. Manjunath
2011	—	`conf`	A comparative assessment of malware classification using binary texture analysis and dynamic analysis. AISec Lakshmanan Nataraj, Vinod Yegneswaran, Phillip A. Porras, Jian Zhang
2011	C	`conf`	Malware images: visualization and automatic classification. VizSEC Lakshmanan Nataraj, S. Karthikeyan, G. Jacob, B. S. Manjunath
2010	—	`conf`	Improving re-sampling detection by adding noise. Media Forensics and Security Lakshmanan Nataraj, Anindya Sarkar, B. S. Manjunath
2010	B	`conf`	Precise localization of key-points to identify local regions for robust data hiding. ICIP Lakshmanan Nataraj, Anindya Sarkar, B. S. Manjunath
2009	B	`conf`	Adding Gaussian noise to "denoise" JPEG for detecting image resizing. ICIP Lakshmanan Nataraj, Anindya Sarkar, Bangalore S. Manjunath
2009	—	`conf`	Detection of seam carving and localization of seam insertions in digital images. MM&Sec Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunath
2008	B	`conf`	Estimation of optimum coding redundancy and frequency domain analysis of attacks for YASS - a randomized block based hiding scheme. ICIP Anindya Sarkar, Lakshmanan Nataraj, B. S. Manjunath, Upamanyu Madhow

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.