Tarun Kulshrestha

12 papers A* 2A 1B 1Journal 4Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Data-Efficient Alignment in Medical Imaging via Reconfigurable Generative Networks. WACV Divya Saxena, Jiannong Cao, Jiahao Xu, Tarun Kulshrestha
2025	B	`conf`	Dynamic Generative Adaptation for Data-Efficient GAN. IJCNN Divya Saxena, Jiannong Cao, Tarun Kulshrestha, Yuqing Zhao
2025	J	`jnl`	Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration. IEEE Trans. Pattern Anal. Mach. Intell. Divya Saxena, Jiannong Cao, Jiahao Xu, Tarun Kulshrestha
2024	A*	`conf`	RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks. AAAI Divya Saxena, Jiannong Cao, Jiahao Xu, Tarun Kulshrestha
2023	A*	`conf`	Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration. CVPR Divya Saxena, Jiannong Cao, Jiahao Xu, Tarun Kulshrestha
2022	J	`jnl`	Multi-Constraint Adversarial Networks for Unsupervised Image-to-Image Translation. IEEE Trans. Image Process. Divya Saxena, Tarun Kulshrestha, Jiannong Cao, Shing-Chi Cheung
2020	J	`jnl`	Real-Time Crowd Monitoring Using Seamless Indoor-Outdoor Localization. IEEE Trans. Mob. Comput. Tarun Kulshrestha, Divya Saxena, Rajdeep Niyogi, Jiannong Cao
2019	—	`conf`	A Learning Based Human Interaction Modeling Using Mobile Sensing. ISPA/BDCloud/SocialCom/SustainCom Tarun Kulshrestha, Divya Saxena, Rajdeep Niyogi
2017	—	`conf`	A fast and scalable crowd sensing based trajectory tracking system. IC3 Rajdeep Niyogi, Tarun Kulshrestha, Dhaval Patel
2017	—	`conf`	An Improved Smartphone-Based Non-Participatory Crowd Monitoring System in Smart Environments. CSE/EUC (2) Tarun Kulshrestha, Divya Saxena, Rajdeep Niyogi, Manoj Misra, Dhaval Patel
2017	—	`conf`	Smart pilgrim: A mobile-sensor-cloud based system to safeguard pilgrims through smart environment. IC3 Rajdeep Niyogi, Manoj Misra, Tarun Kulshrestha, Dhaval Patel
2017	J	`jnl`	SmartITS: Smartphone-based identification and tracking using seamless indoor-outdoor localization. J. Netw. Comput. Appl. Tarun Kulshrestha, Divya Saxena, Rajdeep Niyogi, Vaskar Raychoudhury, Manoj Misra

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.