Abderrahim Fathan

43 papers A 7B 3C 2Misc 4Journal 6Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Hybrid Neural Approach to Speaker Verification with an Improved Additive Angular Margin Loss. IJCNN Jahangir Alam, Abderrahim Fathan, Md Shahidul Alam
2025	Misc	`conf`	AdaptiveDrop: A Simple Adaptive Label Noise Filtering Scheme for Enhanced Self-supervised Speaker Verification. ICASSP Abderrahim Fathan, Xiaolin Zhu, Jahangir Alam
2025	A	`conf`	An Investigative Study on Recent Sharpness- and Flatness-Based Optimizers for Enhanced Self-Supervised Speaker Verification. INTERSPEECH Abderrahim Fathan, Jahangir Alam, Xiaolin Zhu
2025	A	`conf`	Automatic Labeling and Correction of Noisy Labels for Robust Self-Supervised Speaker Verification. INTERSPEECH Abderrahim Fathan, Jahangir Alam
2025	J	`jnl`	Open Agent Specification (Agent Spec) Technical Report. CoRR Yassine Benajiba, Cesare Bernardis, Vladislav Blinov, Paul Cayet, Hassan Chafi, Abderrahim Fathan, Louis Faucon, Damien Hilloulin, Sungpack Hong, Ingo Kossyk, Rhicheek Patra, Sujith Ravi, Jonas Schweizer, Jyotika Singh, Shailender Singh, Xuelin Situ, Weiyi Sun, Jerry Xu, Ying Xu
2024	J	`jnl`	An analytic study on clustering driven self-supervised speaker verification. Pattern Recognit. Lett. Abderrahim Fathan, Jahangir Alam
2024	—	`conf`	An investigative study of the effect of several regularization techniques on label noise robustness of self-supervised speaker verification systems. Odyssey Abderrahim Fathan, Xiaolin Zhu, Jahangir Alam
2024	—	`conf`	Contrastive Information Maximization Clustering for Self-Supervised Speaker Recognition. CAI Abderrahim Fathan, Jahangir Alam
2024	—	`conf`	Enhanced label noise robustness through early adaptive filtering for the self-supervised speaker verification task. ENLSP Abderrahim Fathan, Xiaolin Zhu, Jahangir Alam
2024	A	`conf`	On the impact of several regularization techniques on label noise robustness of self-supervised speaker verification systems. INTERSPEECH Abderrahim Fathan, Xiaolin Zhu, Jahangir Alam
2024	—	`conf`	On the influence of metric learning loss functions for robust self-supervised speaker verification to label noise. CAI Abderrahim Fathan, Xiaolin Zhu, Md. Jahangir Alam
2024	B	`conf`	On the influence of regularization techniques on label noise robustness: Self-supervised speaker verification as a use case. IJCB Abderrahim Fathan, Xiaolin Zhu, Jahangir Alam
2024	Misc	`conf`	Self-Supervised Speaker Verification Employing A Novel Clustering Algorithm. ICASSP Abderrahim Fathan, Jahangir Alam
2023	—	`conf`	Audio DeepFake Detection Employing Multiple Parametric Exponential Linear Units. SPECOM (2) Md Shahidul Alam, Abderrahim Fathan, Jahangir Alam
2023	C	`conf`	CAMSAT: Augmentation Mix and Self-Augmented Training Clustering for Self-Supervised Speaker Recognition. ASRU Abderrahim Fathan, Jahangir Alam
2023	Misc	`conf`	Hybrid Neural Network with Cross- and Self-Module Attention Pooling for Text-Independent Speaker Verification. ICASSP Jahangir Alam, Woo Hyun Kang, Abderrahim Fathan
2023	—	`conf`	Investigation Of The Quality Of Pseudo-Labels For The Self-Supervised Speaker Verification Task. ICASSP Workshops Abderrahim Fathan, Jahangir Alam, Woo Hyun Kang
2023	—	`conf`	Multi-task Learning over Mixup Variants for the Speaker Verification Task. SPECOM (2) Abderrahim Fathan, Jahangir Alam, Xiaolin Zhu
2023	—	`conf`	On the Use of Cross-module Attention Statistics Pooling for Speaker Verification. IWBF Jahangir Alam, Abderrahim Fathan
2023	—	`conf`	On the influence of the quality of pseudo-labels on the self-supervised speaker verification task: a thorough analysis. IWBF Abderrahim Fathan, Jahangir Alam
2023	—	`conf`	Self-supervised Speaker Verification Employing Augmentation Mix and Self-augmented Training-Based Clustering. SPECOM (2) Abderrahim Fathan, Jahangir Alam
2022	—	`conf`	An Analytic Study on Clustering-Based Pseudo-labels for Self-supervised Deep Speaker Verification. SPECOM Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2022	J	`jnl`	Attentive activation function for improving end-to-end spoofing countermeasure systems. CoRR Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2022	B	`conf`	Deep learning-based end-to-end spoken language identification system for domain-mismatched scenario. LREC Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2022	—	`conf`	Development of ABC Systems for the 2021 Edition of NIST Speaker Recognition Evaluation. Odyssey Jahangir Alam, Radek Benes, Marian Beszédes, Lukás Burget, Mohamed Dahmane, Abderrahim Fathan, Hamed Ghodrati, Ondrej Glembek, Woo Hyun Kang, Pavel Matejka, Ladislav Mosner, Oldrich Plchot, Johan Rohdin, Anna Silnova, Themos Stafylakis
2022	—	`conf`	Domain Generalized Speaker Embedding Learning via Mutual Information Minimization. Odyssey Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2022	A	`conf`	End-to-end framework for spoof-aware speaker verification. INTERSPEECH Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2022	—	`conf`	Flow-ER: A Flow-Based Embedding Regularization Strategy for Robust Speech Representation Learning. SLT Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2022	—	`conf`	Hybrid Neural Network-Based Deep Embedding Extractors for Text-Independent Speaker Verification. Odyssey Jahangir Alam, Woo Hyun Kang, Abderrahim Fathan
2022	—	`conf`	Investigation on Mixup Strategies for End-to-End Voice Spoof Detection System. Odyssey Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2022	J	`jnl`	L-Mix: A Latent-Level Instance Mixup Regularization for Robust Self-Supervised Speaker Representation Learning. IEEE J. Sel. Top. Signal Process. Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2022	A	`conf`	MIM-DG: Mutual information minimization-based domain generalization for speaker verification. INTERSPEECH Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2022	A	`conf`	Mel-Spectrogram Image-Based End-to-End Audio Deepfake Detection Under Channel-Mismatched Conditions. ICME Abderrahim Fathan, Jahangir Alam, Woo Hyun Kang
2022	A	`conf`	Mixup regularization strategies for spoofing countermeasure system. INTERSPEECH Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2022	—	`conf`	Multiresolution Decomposition Analysis via Wavelet Transforms for Audio Deepfake Detection. SPECOM Abderrahim Fathan, Jahangir Alam, Woo Hyun Kang
2022	—	`conf`	Neural Embedding Extractors for Text-Independent Speaker Verification. SPECOM Jahangir Alam, Woo Hyun Kang, Abderrahim Fathan
2022	Misc	`conf`	Robust Self-Supervised Speaker Representation Learning Via Instance Mix Regularization. ICASSP Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2021	—	`conf`	An Ensemble Approach for the Diagnosis of COVID-19 from Speech and Cough Sounds. SPECOM Abderrahim Fathan, Jahangir Alam, Woo Hyun Kang
2021	J	`jnl`	Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering. CoRR Abderrahim Fathan, Erick Delage
2021	—	`conf`	End-to-End Voice Spoofing Detection Employing Time Delay Neural Networks and Higher Order Statistics. SPECOM Jahangir Alam, Abderrahim Fathan, Woo Hyun Kang
2021	C	`conf`	Hybrid Network with Multi-Level Global-Local Statistics Pooling for Robust Text-Independent Speaker Recognition. ASRU Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2021	J	`jnl`	Robust Speech Representation Learning via Flow-based Embedding Regularization. CoRR Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan
2021	—	`conf`	Text-Independent Speaker Verification Employing CNN-LSTM-TDNN Hybrid Networks. SPECOM Jahangir Alam, Abderrahim Fathan, Woo Hyun Kang

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.