Ozlem O. Garibay

21 papers A* 1A 3Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Monkey Jump : MoE-Style PEFT for Efficient Multi-Task Learning. CoRR Nusrat Jahan Prottasha, Md Kowsher, Chun-Nam Yu, Chen Chen, Ozlem O. Garibay
2025	—	`conf`	BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting. NAACL (Findings) Mohammad Jahid Ibna Basher, Md. Kowsher, Md Saiful Islam, Rabindra Nath Nandi, Nusrat Jahan Prottasha, Mehadi Hasan Menon, Tareq Al Muntasir, Shammur Absar Chowdhury, Firoj Alam, Niloofar Yousefi, Ozlem O. Garibay
2025	J	`jnl`	BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting. CoRR Mohammad Jahid Ibna Basher, Md. Kowsher, Md Saiful Islam, Rabindra Nath Nandi, Nusrat Jahan Prottasha, Mehadi Hasan Menon, Tareq Al Muntasir, Shammur Absar Chowdhury, Firoj Alam, Niloofar Yousefi, Ozlem O. Garibay
2025	—	`conf`	Does Self-Attention Need Separate Weights in Transformers? NAACL (Industry Track) Md. Kowsher, Nusrat Jahan Prottasha, Chun-Nam Yu, Ozlem O. Garibay, Niloofar Yousefi
2025	J	`jnl`	How Bidirectionality Helps Language Models Learn Better via Dynamic Bottleneck Estimation. CoRR Md. Kowsher, Nusrat Jahan Prottasha, Shiyun Xu, Shetu Mohanto, Chen Chen, Ozlem O. Garibay, Niloofar Yousefi
2025	J	`jnl`	PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models. CoRR Nusrat Jahan Prottasha, Upama Roy Chowdhury, Shetu Mohanto, Tasfia Nuzhat, Abdullah As Sami, Md Shamol Ali, Md. Shohanur Islam Sobuj, Hafijur Raman, Md. Kowsher, Ozlem O. Garibay
2025	—	`conf`	Predicting Through Generation: Why Generation Is Better for Prediction. ACL (1) Md. Kowsher, Nusrat Jahan Prottasha, Prakash Bhat, Chun-Nam Yu, Mojtaba Soltanalian, Ivan Garibay, Ozlem O. Garibay, Chen Chen, Niloofar Yousefi
2025	J	`jnl`	Predicting Through Generation: Why Generation Is Better for Prediction. CoRR Md. Kowsher, Nusrat Jahan Prottasha, Prakash Bhat, Chun-Nam Yu, Mojtaba Soltanalian, Ivan Garibay, Ozlem O. Garibay, Chen Chen, Niloofar Yousefi
2025	J	`jnl`	User Profile with Large Language Models: Construction, Updating, and Benchmarking. CoRR Nusrat Jahan Prottasha, Md. Kowsher, Hafijur Raman, Israt Jahan Anny, Prakash Bhat, Ivan Garibay, Ozlem O. Garibay
2024	J	`jnl`	Does Self-Attention Need Separate Weights in Transformers? CoRR Md. Kowsher, Nusrat Jahan Prottasha, Chun-Nam Yu, Ozlem O. Garibay, Niloofar Yousefi
2024	A*	`conf`	Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium. NeurIPS Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Amirarsalan Rajabi, Aida Tayebi, Ivan Garibay, Ozlem O. Garibay
2023	J	`jnl`	Evolutionary Model Discovery of Human Behavioral Factors Driving Decision-Making in Irrigation Experiments. J. Artif. Soc. Soc. Simul. Lux Miranda, Ozlem O. Garibay, Jacopo A. Baggio
2021	—	`conf`	Towards Fairness in AI: Addressing Bias in Data Using GANs. HCI (41) Amirarsalan Rajabi, Ozlem O. Garibay
2013	J	`jnl`	A Topic-Driven Modular Approach to Engineering Education Delivery. Int. J. Emerg. Technol. Learn. Ruba Akram Amarin, Ozlem O. Garibay, Issa Batarseh
2009	A	`conf`	On the performance effects of unbiased module encapsulation. GECCO R. Paul Wiegand, Gautham Anil, Ivan I. Garibay, Ozlem O. Garibay, Annie S. Wu
2007	A	`conf`	Analyzing the effects of module encapsulation on search space bias. GECCO Ozlem O. Garibay, Annie S. Wu
2006	J	`jnl`	Emergence of genomic self-similarity in location independent representations. Genet. Program. Evolvable Mach. Ivan I. Garibay, Annie S. Wu, Ozlem O. Garibay
2005	A	`conf`	On favoring positive correlations between form and quality of candidate solutions via the emergence of genomic self-similarity. GECCO Ivan I. Garibay, Annie S. Wu, Ozlem O. Garibay
2005	—	`conf`	On location independent representations and self-organization. GECCO Workshops Ivan I. Garibay, Annie S. Wu, Ozlem O. Garibay
2004	—	`conf`	Effects of Module Encapsulation in Repetitively Modular Genotypes on the Search Space. GECCO (1) Ivan I. Garibay, Ozlem O. Garibay, Annie S. Wu
2003	—	`conf`	The Modular Genetic Algorithm: Exploiting Regularities in the Problem Space. ISCIS Ozlem O. Garibay, Ivan I. Garibay, Annie S. Wu

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.