Abhijit Mahalanobis

45 papers B 9C 2Journal 24Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Is Mamba Reliable for Medical Imaging? CoRR Banafsheh Saber Latibari, Najmeh Nazari, Daniel Brignac, Hossein Sayadi, Houman Homayoun, Abhijit Mahalanobis
2026	J	`jnl`	Pay Attention to Where You Look. CoRR Alex Berian, JhihYang Wu, Daniel Brignac, Natnael Daba, Abhijit Mahalanobis
2025	—	`conf`	CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation. WACV (Workshops) Alex Berian, Daniel Brignac, JhihYang Wu, Natnael Daba, Abhijit Mahalanobis
2025	J	`jnl`	CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation. CoRR Alex Berian, Daniel Brignac, JhihYang Wu, Natnael Daba, Abhijit Mahalanobis
2025	C	`conf`	FaRAccel: FPGA-Accelerated Defense Architecture for Efficient Bit-Flip Attack Resilience in Transformer Models. ICCD Najmeh Nazari, Banafsheh Saber Latibari, Elahe Hosseini, Fatemeh Movafagh, Chongzhou Fang, Hosein Mohammadi Makrani, Kevin Immanuel Gubbi, Abhijit Mahalanobis, Setareh Rafatirad, Hossein Sayadi, Houman Homayoun
2025	J	`jnl`	FaRAccel: FPGA-Accelerated Defense Architecture for Efficient Bit-Flip Attack Resilience in Transformer Models. CoRR Najmeh Nazari, Banafsheh Saber Latibari, Elahe Hosseini, Fatemeh Movafagh, Chongzhou Fang, Hosein Mohammadi Makrani, Kevin Immanuel Gubbi, Abhijit Mahalanobis, Setareh Rafatirad, Hossein Sayadi, Houman Homayoun
2025	C	`conf`	Hammering the Diagnosis: Rowhammer-Induced Stealthy Trojan Attacks on ViT-Based Medical Imaging. ICCD Banafsheh Saber Latibari, Najmeh Nazari, Hossein Sayadi, Houman Homayoun, Abhijit Mahalanobis
2025	J	`jnl`	Hammering the Diagnosis: Rowhammer-Induced Stealthy Trojan Attacks on ViT-Based Medical Imaging. CoRR Banafsheh Saber Latibari, Najmeh Nazari, Hossein Sayadi, Houman Homayoun, Abhijit Mahalanobis
2025	—	`conf`	Pay Attention to Where You Looked. ICIPW Alex Berian, JhihYang Wu, Daniel Brignac, Natnael Daba, Abhijit Mahalanobis
2024	B	`conf`	Cascading Unknown Detection With Known Classification For Open Set Recognition. ICIP Daniel Brignac, Abhijit Mahalanobis
2024	J	`jnl`	Cascading Unknown Detection with Known Classification for Open Set Recognition. CoRR Daniel Brignac, Abhijit Mahalanobis
2024	J	`jnl`	Detection and Localization of Small Moving Objects in the Presence of Sensor and Platform Movement. Sensors Adam Cuellar, Abhijit Mahalanobis, Christopher Kyle Renshaw, Wasfy Mikhael
2024	—	`conf`	Vision-Language Feature Refinement for Zero-Shot Object Counting. ICFSP Md Jibanul Haque Jiban, Abhijit Mahalanobis, Niels da Vitoria Lobo
2023	J	`jnl`	Adapting Classifiers To Changing Class Priors During Deployment. CoRR Natnael Daba, Bruce McIntosh, Abhijit Mahalanobis
2023	—	`conf`	Adapting Classifiers to Changing Class Priors During Deployment. PKDD/ECML Workshops (4) Natnael Daba, Bruce McIntosh, Abhijit Mahalanobis
2023	J	`jnl`	Detection of Small Moving Targets in Cluttered Infrared Imagery. IEEE Trans. Aerosp. Electron. Syst. Adam Cuellar, Abhijit Mahalanobis
2023	—	`conf`	Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning. ICCV (Workshops) Daniel Brignac, Niels Lobo, Abhijit Mahalanobis
2023	J	`jnl`	Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning. CoRR Daniel Brignac, Niels Lobo, Abhijit Mahalanobis
2023	—	`conf`	Leveraging Low Rank Filters for Efficient and Knowledge-Preserving Lifelong Learning. PKDD/ECML Workshops (4) Muhammad Tayyab, Abhijit Mahalanobis
2022	J	`jnl`	Background Invariant Classification on Infrared Imagery by Data Efficient Training and Reducing Bias in CNNs. CoRR Maliha Arif, Calvin Yong, Abhijit Mahalanobis
2022	B	`conf`	Background-Tolerant Object Classification With Embedded Segmentation Mask For Infrared And Color Imagery. ICIP Maliha Arif, Calvin Yong, Abhijit Mahalanobis, Nazanin Rahnavard
2022	B	`conf`	Simultaneous Learning and Compression for Convolution Neural Networks. ICIP Muhammad Tayyab, Abhijit Mahalanobis
2021	B	`conf`	Compressing Deep CNNs Using Basis Representation and Spectral Fine-Tuning. ICIP Muhammad Tayyab, Fahad Ahmad Khan, Abhijit Mahalanobis
2021	J	`jnl`	Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning. CoRR Muhammad Tayyab, Fahad Ahmad Khan, Abhijit Mahalanobis
2021	B	`conf`	Detection of Small Moving Ground Vehicles in Cluttered Terrain Using Infrared Video Imagery. ICIP Adam Cuellar, Abhijit Mahalanobis
2021	B	`conf`	Few Shot Learning For Infra-Red Object Recognition Using Analytically Designed Low Level Filters For Data Representation. ICIP Maliha Arif, Abhijit Mahalanobis
2021	J	`jnl`	Infrared Target Detection in Cluttered Environments by Maximization of a Target to Clutter Ratio (TCR) Metric Using a Convolutional Neural Network. IEEE Trans. Aerosp. Electron. Syst. Bruce McIntosh, Shashanka Venkataramanan, Abhijit Mahalanobis
2021	J	`jnl`	Infrared Target Recognition Using Realistic Training Images Generated by Modifying Latent Features of an Encoder-Decoder Network. IEEE Trans. Aerosp. Electron. Syst. Maliha Arif, Abhijit Mahalanobis
2021	B	`conf`	Two-Stream Boosted TCRNet for Range-Tolerant Infra-Red Target Detection. ICIP Md Jibanul Haque Jiban, Shah Hassan, Abhijit Mahalanobis
2020	—	`conf`	Attention Guided Anomaly Localization in Images. ECCV (17) Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis
2020	J	`jnl`	Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning. CoRR Maliha Arif, Abhijit Mahalanobis
2020	J	`jnl`	Multiview Automatic Target Recognition for Infrared Imagery Using Collaborative Sparse Priors. IEEE Trans. Geosci. Remote. Sens. Xuelu Li, Vishal Monga, Abhijit Mahalanobis
2020	B	`conf`	Target Detection in Cluttered Environments Using Infra-Red Images. ICIP Bruce McIntosh, Shashanka Venkataramanan, Abhijit Mahalanobis
2019	J	`jnl`	Attention Guided Anomaly Detection and Localization in Images. CoRR Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis
2019	J	`jnl`	BasisConv: A method for compressed representation and learning in CNNs. CoRR Muhammad Tayyab, Abhijit Mahalanobis
2014	J	`jnl`	Efficient target detection using an adaptive compressive imager. IEEE Trans. Aerosp. Electron. Syst. Abhijit Mahalanobis, Robert Muise, Sumit Roy
2013	J	`jnl`	Maximum Margin Correlation Filter: A New Approach for Localization and Classification. IEEE Trans. Image Process. Andres Rodriguez, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Abhijit Mahalanobis
2011	—	`conf`	Transform domain adaptive compressive sensing of specific objects. Visual Information Processing Abhijit Mahalanobis
2008	—	`conf`	Recent developments in coded aperture multiplexed imaging systems. Visual Information Processing Abhijit Mahalanobis, C. Reyner, T. Haberfelde, Mark A. Neifeld, B. V. K. Vijaya Kumar
2007	B	`conf`	Analysis of the Contention Access Phase of a Reservation MAC Protocol for Wide-Area Data Intensive Sensor Networks. GLOBECOM Arindam Kumar Das, Sumit Roy, Abhijit Mahalanobis
2000	J	`jnl`	Optimal tradeoff circular harmonic function correlation filter methods providing controlled in-plane rotation response. IEEE Trans. Image Process. B. V. K. Vijaya Kumar, Abhijit Mahalanobis, Alex Takessian
1994	—	`conf`	Correlation filters for texture recognition and applications to terrain-delimitation in wide-area surveillance. ICASSP (5) Hemant Singh, Abhijit Mahalanobis
1994	J	`jnl`	Editorial. Pattern Recognit. Abhijit Mahalanobis
1994	J	`jnl`	Ordered rules for full sentence translation: A neural network realization and a case study for Hindi and English. Pattern Recognit. Anoop Chandola, Abhijit Mahalanobis
1991	J	`jnl`	Signal dependent degradation in noise performance of optimum detectors for multiple signal detection. IEEE Trans. Signal Process. Abhijit Mahalanobis

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.