Sachit Kuhar - RankMe

13 papers A 1B 1Misc 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation. NAACL (Long Papers) Sachit Kuhar, Wasi Uddin Ahmad, Zijian Wang, Nihal Jain, Haifeng Qian, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras
2025	J	`jnl`	SpecAgent: A Speculative Retrieval and Forecasting Agent for Code Completion. CoRR George Ma, Anurag Koul, Qi Chen, Yawen Wu, Sachit Kuhar, Yu Yu, Aritra Sengupta, Varun Kumar, Murali Krishna Ramanathan
2025	J	`jnl`	UTFix: Change Aware Unit Test Repairing using LLM. CoRR Shanto Rahman, Sachit Kuhar, Berk Çirisci, Pranav Garg, Shiqi Wang, Xiaofei Ma, Anoop Deoras, Baishakhi Ray
2025	J	`jnl`	UTFix: Change Aware Unit Test Repairing using LLM. Proc. ACM Program. Lang. Shanto Rahman, Sachit Kuhar, Berk Çirisci, Pranav Garg, Shiqi Wang, Xiaofei Ma, Anoop Deoras, Baishakhi Ray
2024	J	`jnl`	LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation. CoRR Sachit Kuhar, Wasi Uddin Ahmad, Zijian Wang, Nihal Jain, Haifeng Qian, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras
2024	J	`jnl`	PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off. Trans. Mach. Learn. Res. Sachit Kuhar, Yash Jain, Alexey Tumanov
2023	Misc	`conf`	Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning. CoRL Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu
2023	J	`jnl`	Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning. CoRR Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu
2023	J	`jnl`	Signed Binarization: Unlocking Efficiency Through Repetition-Sparsity Trade-Off. CoRR Sachit Kuhar, Yash Jain, Alexey Tumanov
2022	J	`jnl`	Offline Visual Representation Learning for Embodied Navigation. CoRR Karmesh Yadav, Ram Ramrakhya, Arjun Majumdar, Vincent-Pierre Berges, Sachit Kuhar, Dhruv Batra, Alexei Baevski, Oleksandr Maksymets
2021	J	`jnl`	Deep Learning Based Semi-Blind Tracking for Aging Wireless Communication Channels. Wirel. Pers. Commun. Achal Dave, Sachit Kuhar, Ribhu Chopra
2021	A	`conf`	SumMerge: an efficient algorithm and implementation for weight repetition-aware DNN inference. ICS Rohan Baskar Prabhakar, Sachit Kuhar, Rohit Agrawal, Christopher J. Hughes, Christopher W. Fletcher
2019	B	`conf`	mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator. ISPASS Zhongyuan Zhao, Hyoukjun Kwon, Sachit Kuhar, Weiguang Sheng, Zhigang Mao, Tushar Krishna

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.