Aditya Chinchure

14 papers A* 2A 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alignment-Aware Model Adaptation via Feedback-Guided Optimization. CoRR Gaurav Bhatt, Aditya Chinchure, Jiawei Zhou, Leonid Sigal
2025	J	`jnl`	BiasConnect: Investigating Bias Interactions in Text-to-Image Models. CoRR Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk
2025	A*	`conf`	Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events. CVPR Aditya Chinchure, Sahithya Ravi, Raymond T. Ng, Vered Shwartz, Boyang Li, Leonid Sigal
2025	—	`conf`	Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. EMNLP (Findings) Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew A. Turk
2025	J	`jnl`	Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. CoRR Pushkar Shukla, Aditya Chinchure, Emily Diana, Alexander Tolbert, Kartik Hosanagar, Vineeth N. Balasubramanian, Leonid Sigal, Matthew Turk
2025	J	`jnl`	SPIKE-RL: Video-LLMs meet Bayesian Surprise. CoRR Sahithya Ravi, Aditya Chinchure, Raymond T. Ng, Leonid Sigal, Vered Shwartz
2025	J	`jnl`	Spotlight: Identifying and Localizing Video Generation Errors Using VLMs. CoRR Aditya Chinchure, Sahithya Ravi, Pushkar Shukla, Vered Shwartz, Leonid Sigal
2024	J	`jnl`	Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events. CoRR Aditya Chinchure, Sahithya Ravi, Raymond T. Ng, Vered Shwartz, Boyang Li, Leonid Sigal
2024	A*	`conf`	From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models. EMNLP Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, Eunjeong Hwang, Vered Shwartz
2024	J	`jnl`	From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models. CoRR Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, Eunjeong Hwang, Vered Shwartz
2024	—	`conf`	TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models. ECCV (79) Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, Matthew Turk
2023	J	`jnl`	TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models. CoRR Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, Matthew Turk
2023	A	`conf`	VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. WACV Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz
2022	J	`jnl`	VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. CoRR Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz

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.