Laurie M. Heller

17 papers A* 2Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Auditorily Embodied Conversational Agents: Effects of Spatialization and Situated Audio Cues on Presence and Social Perception. CHI Yi Fei Cheng, Jarod Bloch, Alexander Wang, Andrea Bianchi, Anusha Withana, Anhong Guo, Laurie M. Heller, David Lindlbauer
2026	J	`jnl`	Auditorily Embodied Conversational Agents: Effects of Spatialization and Situated Audio Cues on Presence and Social Perception. CoRR Yi Fei Cheng, Jarod Bloch, Alexander Wang, Andrea Bianchi, Anusha Withana, Anhong Guo, Laurie M. Heller, David Lindlbauer
2025	—	`conf`	Learning Perceptually Relevant Temporal Envelope Morphing. WASPAA Satvik Dixit, Sungjoon Park, Chris Donahue, Laurie M. Heller
2025	J	`jnl`	Learning Perceptually Relevant Temporal Envelope Morphing. CoRR Satvik Dixit, Sungjoon Park, Chris Donahue, Laurie M. Heller
2025	J	`jnl`	Sound Scene Synthesis at the DCASE 2024 Challenge. CoRR Mathieu Lagrange, Junwon Lee, Modan Tailleur, Laurie M. Heller, Keunwoo Choi, Brian McFee, Keisuke Imoto, Yuki Okamoto
2024	J	`jnl`	Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation. CoRR Junwon Lee, Modan Tailleur, Laurie M. Heller, Keunwoo Choi, Mathieu Lagrange, Brian McFee, Keisuke Imoto, Yuki Okamoto
2024	J	`jnl`	Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant. CoRR Modan Tailleur, Junwon Lee, Mathieu Lagrange, Keunwoo Choi, Laurie M. Heller, Keisuke Imoto, Yuki Okamoto
2024	—	`conf`	Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependent. EUSIPCO Modan Tailleur, Junwon Lee, Mathieu Lagrange, Keunwoo Choi, Laurie M. Heller, Keisuke Imoto, Yuki Okamoto
2024	—	`conf`	Detection of Deepfake Environmental Audio. EUSIPCO Hafsa Ouajdi, Oussama Hadder, Modan Tailleur, Mathieu Lagrange, Laurie M. Heller
2024	J	`jnl`	Detection of Deepfake Environmental Audio. CoRR Hafsa Ouajdi, Oussama Hadder, Modan Tailleur, Mathieu Lagrange, Laurie M. Heller
2024	A*	`conf`	First or Third-Person Hearing? A Controlled Evaluation of Auditory Perspective on Embodiment and Sound Localization Performance. ISMAR Yi Fei Cheng, Laurie M. Heller, Stacey Cho, David Lindlbauer
2024	J	`jnl`	Vision Language Models Are Few-Shot Audio Spectrogram Classifiers. CoRR Satvik Dixit, Laurie M. Heller, Chris Donahue
2023	J	`jnl`	Foley Sound Synthesis at the DCASE 2023 Challenge. CoRR Keunwoo Choi, Jaekwon Im, Laurie M. Heller, Brian McFee, Keisuke Imoto, Yuki Okamoto, Mathieu Lagrange, Shinnosuke Takamichi
2023	J	`jnl`	Synergy between human and machine approaches to sound/scene recognition and processing: An overview of ICASSP special session. CoRR Laurie M. Heller, Benjamin Elizalde, Bhiksha Raj, Soham Deshmukh
2021	—	`conf`	Identifying Actions for Sound Event Classification. WASPAA Benjamin Elizalde, Radu Revutchi, Samarjit Das, Bhiksha Raj, Ian R. Lane, Laurie M. Heller
2021	J	`jnl`	Identifying Actions for Sound Event Classification. CoRR Benjamin Elizalde, Radu Revutchi, Samarjit Das, Bhiksha Raj, Ian R. Lane, Laurie M. Heller
2000	—	`conf`	On the Perception of Transients: Applying Psychophysical Constraints to Improve Audio Analysis and Synthesis. ICMC Gregory H. Wakefield, Laurie M. Heller, Laurel H. Carney, Maureen Mellody

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.