Geigh Zollicoffer

14 papers A* 3Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Diverging Towards Hallucination: Detection of Failures in Vision-Language Models via Multi-token Aggregation. CoRR Geigh Zollicoffer, Minh N. Vu, Manish Bhattarai
2025	J	`jnl`	HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling. CoRR Minh N. Vu, Brian K. Tran, Syed A. Shah, Geigh Zollicoffer, Nhat Hoang-Xuan, Manish Bhattarai
2025	—	`conf`	LaFA: Latent Feature Attacks on Non-Negative Matrix Factorization. ICDM (Workshops) Minh Nhat Vu, Ben Nebgen, Erik Skau, Geigh Zollicoffer, Juan Castorena, Kim Ø. Rasmussen, Boian S. Alexandrov, Manish Bhattarai
2025	A*	`conf`	LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. AAAI Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai
2025	A*	`conf`	Novelty Detection in Reinforcement Learning with World Models. ICML Geigh Zollicoffer, Kenneth Eaton, Jonathan C. Balloch, Julia M. Kim, Wei Zhou, Robert Wright, Mark O. Riedl
2025	A*	`conf`	Topological Signatures of Adversaries in Multimodal Alignments. ICML Minh Nhat Vu, Geigh Zollicoffer, Huy Quang Mai, Ben Nebgen, Boian S. Alexandrov, Manish Bhattarai
2025	J	`jnl`	Topological Signatures of Adversaries in Multimodal Alignments. CoRR Minh Nhat Vu, Geigh Zollicoffer, Huy Quang Mai, Ben Nebgen, Boian S. Alexandrov, Manish Bhattarai
2025	J	`jnl`	World Model Robustness via Surprise Recognition. CoRR Geigh Zollicoffer, Tanush Chopra, Mingkuan Yan, Xiaoxu Ma, Kenneth Eaton, Mark Riedl
2024	J	`jnl`	Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization. CoRR Kshitij Bhatta, Geigh Zollicoffer, Manish Bhattarai, Phil Romero, Christian F. A. Negre, Anders M. N. Niklasson, Adetokunbo Adedoyin
2024	J	`jnl`	Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning. CoRR Jonathan C. Balloch, Rishav Bhagat, Geigh Zollicoffer, Ruoran Jia, Julia M. Kim, Mark O. Riedl
2024	J	`jnl`	LaFA: Latent Feature Attacks on Non-negative Matrix Factorization. CoRR Minh N. Vu, Ben Nebgen, Erik Skau, Geigh Zollicoffer, Juan Castorena, Kim Ø. Rasmussen, Boian S. Alexandrov, Manish Bhattarai
2024	J	`jnl`	LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. CoRR Geigh Zollicoffer, Minh N. Vu, Ben Nebgen, Juan Castorena, Boian S. Alexandrov, Manish Bhattarai
2024	J	`jnl`	Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework. CoRR Geigh Zollicoffer, Kshitij Bhatta, Manish Bhattarai, Phil Romero, Christian F. A. Negre, Anders M. N. Niklasson, Adetokunbo Adedoyin
2023	J	`jnl`	A Simple Way to Incorporate Novelty Detection in World Models. CoRR Geigh Zollicoffer, Kenneth Eaton, Jonathan C. Balloch, Julia M. Kim, Mark O. Riedl, Robert Wright

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.