Taiba Majid Wani

16 papers B 2C 1Misc 1Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Scale Self-Supervised Learning for Efficient Audio Deepfake Detection. IEEE Signal Process. Lett. Taiba Majid Wani, Irene Amerini
2025	J	`jnl`	Advances and Challenges in Computer Vision for Image-Based Plant Disease Detection: A Comprehensive Survey of Machine and Deep Learning Approaches. IEEE Trans Autom. Sci. Eng. Syed Asif Ahmad Qadri, Nen-Fu Huang, Taiba Majid Wani, Showkat Ahmad Bhat
2025	J	`jnl`	Deepfake Media Forensics: Status and Future Challenges. J. Imaging Irene Amerini, Mauro Barni, Sebastiano Battiato, Paolo Bestagini, Giulia Boato, Vittoria Bruni, Roberto Caldelli, Francesco G. B. De Natale, Rocco De Nicola, Luca Guarnera, Sara Mandelli, Taiba Majid Wani, Gian Luca Marcialis, Marco Micheletto, Andrea Montibeller, Giulia Orrù, Alessandro Ortis, Pericle Perazzo, Giovanni Puglisi, Nischay Purnekar, Davide Salvi, Stefano Tubaro, Massimo Villari, Domenico Vitulano
2025	Misc	`conf`	HCN-TA: Hierarchical Capsule Network with Temporal Attention for a Generalizable Approach to Audio Deepfake Detection. SAC Taiba Majid Wani, Madleen Uecker, Farooq Ahmad Wani, Irene Amerini
2025	—	`conf`	Learning to Fuse: A Gated Multi-Stream Framework for Generalized Audio Deepfake Detection. DFF@MM Taiba Majid Wani, Irene Amerini
2025	B	`conf`	Training-Free Deepfake Detection: An Identity-Guided Approach Using Facial Embeddings. IJCNN Mattia Aquilina, Taiba Majid Wani, Irene Amerini
2025	B	`conf`	WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution. IJCNN Pietro Bongini, Sara Mandelli, Andrea Montibeller, Mirko Casu, Orazio Pontorno, Claudio Vittorio Ragaglia, Luca Zanchetta, Mattia Aquilina, Taiba Majid Wani, Luca Guarnera, Benedetta Tondi, Giulia Boato, Paolo Bestagini, Irene Amerini, Francesco G. B. De Natale, Sebastiano Battiato, Mauro Barni
2025	J	`jnl`	WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution. CoRR Pietro Bongini, Sara Mandelli, Andrea Montibeller, Mirko Casu, Orazio Pontorno, Claudio Vittorio Ragaglia, Luca Zanchetta, Mattia Aquilina, Taiba Majid Wani, Luca Guarnera, Benedetta Tondi, Giulia Boato, Paolo Bestagini, Irene Amerini, Francesco G. B. De Natale, Sebastiano Battiato, Mauro Barni
2024	—	`conf`	ABC-CapsNet: Attention based Cascaded Capsule Network for Audio Deepfake Detection. CVPR Workshops Taiba Majid Wani, Reeva Gulzar, Irene Amerini
2024	—	`conf`	Audio Deepfake Detection: A Continual Approach with Feature Distillation and Dynamic Class Rebalancing. ICPR (21) Taiba Majid Wani, Irene Amerini
2024	C	`conf`	Detecting Audio Deepfakes: Integrating CNN and BiLSTM with Multi-Feature Concatenation. IH&MMSec Taiba Majid Wani, Syed Asif Ahmad Qadri, Danilo Comminiello, Irene Amerini
2024	J	`jnl`	Navigating the Soundscape of Deception: A Comprehensive Survey on Audio Deepfake Generation, Detection, and Future Horizons. Found. Trends Priv. Secur. Taiba Majid Wani, Syed Asif Ahmad Qadri, Farooq Ahmad Wani, Irene Amerini
2023	—	`conf`	Deepfakes Audio Detection Leveraging Audio Spectrogram and Convolutional Neural Networks. ICIAP (2) Taiba Majid Wani, Irene Amerini
2023	—	`conf`	Plant Disease Detection and Segmentation using End-to-End YOLOv8: A Comprehensive Approach. ICCSCE Syed Asif Ahmad Qadri, Nen-Fu Huang, Taiba Majid Wani, Showkat Ahmad Bhat
2021	J	`jnl`	A Comprehensive Review of Speech Emotion Recognition Systems. IEEE Access Taiba Majid Wani, Teddy Surya Gunawan, Syed Asif Ahmad Qadri, Mira Kartiwi, Eliathamby Ambikairajah
2020	J	`jnl`	Optimal rotation angle for finite constellation over additive white Gaussian noise multiple access wiretap channel. IET Commun. Shahid Mehraj Shah, Rufaidah Riyaz, Taiba Majid Wani, Arieb Ashraf, Syed Farah Naz

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.