Tanvi Verma

14 papers A* 3A 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning Medical Conversational AI through Online Reinforcement Learning with Information-Theoretic Rewards. CoRR Tanvi Verma, Yang Zhou, Rick Siow Mong Goh, Yong Liu
2025	J	`jnl`	Learning What to Do and What Not To Do: Offline Imitation from Expert and Undesirable Demonstrations. CoRR Huy Hoang, Tien Mai, Pradeep Varakantham, Tanvi Verma
2024	J	`jnl`	Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution. CoRR Tanvi Verma, Lukas Schwemer, Mingrui Tan, Fei Gao, Yong Liu, Huazhu Fu
2024	—	`conf`	Optimizing Indoor Farming: Deep Learning for Predicting Plant Growth under LED Light Treatments. CAI Tanvi Verma, Norman Teo Zhi Wei, Fei Gao, Hao Yu, Ricardo Shirota Filho
2024	—	`conf`	PLNet: Light Recipe Design for Indoor Farming through Generative Deep Learning. CAI Tanvi Verma, Ricardo Shirota Filho
2024	A*	`conf`	RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. AAAI Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu
2024	J	`jnl`	RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. CoRR Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu
2023	—	`conf`	Unveiling the Dynamics of Digital Economics: A Comprehensive Exploration. IC3I Nihira Singla, Ajay Rana, Tanvi Verma, Deepankar Singh
2022	J	`jnl`	Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization. CoRR Tanvi Verma, Pradeep Varakantham
2020	J	`jnl`	Value Variance Minimization for Learning Approximate Equilibrium in Aggregation Systems. CoRR Tanvi Verma, Pradeep Varakantham
2019	A	`conf`	Correlated Learning for Aggregation Systems. UAI Tanvi Verma, Pradeep Varakantham
2019	A*	`conf`	Entropy Based Independent Learning in Anonymous Multi-Agent Settings. ICAPS Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau
2018	J	`jnl`	Entropy Controlled Non-Stationarity for Improving Performance of Independent Learners in Anonymous MARL Settings. CoRR Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau
2017	A*	`conf`	Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues. ICAPS Tanvi Verma, Pradeep Varakantham, Sarit Kraus, Hoong Chuin Lau

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.