Anderson R. Avila

48 papers A 5B 8Misc 3Journal 28Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BioME: A Resource-Efficient Bioacoustic Foundational Model for IoT Applications. CoRR Heitor R. Guimarães, Abhishek Tiwari, Mahsa Abdollahi, Anderson R. Avila, Tiago H. Falk
2026	J	`jnl`	Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks. CoRR Nasim Soltani, Shayan Nejadshamsi, Zakaria Abou El Houda, Raphaël Khoury, Kelton A. P. Costa, Tiago H. Falk, Anderson R. Avila
2026	J	`jnl`	Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis. CoRR Aishwarya Fursule, Shruti Rajendra Kshirsagar, Anderson R. Avila
2026	J	`jnl`	Investigating the Impact of Speech Enhancement on Audio Deepfake Detection in Noisy Environments. CoRR Anacin, Angela, Shruti Rajendra Kshirsagar, Anderson R. Avila
2026	J	`jnl`	Mitigating Backdoor Attacks in Federated Learning Using PPA and MiniMax Game Theory. CoRR Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Anderson R. Avila, Azzam Mourad, Hadi Otrok
2026	J	`jnl`	PhonemeDF: A Synthetic Speech Dataset for Audio Deepfake Detection and Naturalness Evaluation. CoRR Vamshi Nallaguntla, Aishwarya Fursule, Shruti Rajendra Kshirsagar, Anderson R. Avila
2026	J	`jnl`	The Impact of Ideological Discourses in RAG: A Case Study with COVID-19 Treatments. CoRR Elmira Salari, Maria Claudia Nunes Delfino, Hazem Amamou, José Victor De Souza, Shruti Rajendra Kshirsagar, Alan Davoust, Anderson R. Avila
2026	J	`jnl`	Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis. CoRR Hazem Amamou, Stéphane Gagnon, Alan Davoust, Anderson R. Avila
2025	B	`conf`	Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks. SMC Nasim Soltani, Shayan Nejadshamsi, Zakaria Abou El Houda, Raphaël Khoury, Kelton A. P. Costa, Tiago H. Falk, Anderson R. Avila
2025	B	`conf`	Phonetic Analysis of Real and Synthetic Speech Using HuBERT Embeddings: Perspectives for Deepfake Detection. SMC Dia Elhak Temmar, Assia Hamadene, Vamshi Nallaguntla, Aishwarya Fursule, Mohand Saïd Allili, Shruti Rajendra Kshirsagar, Anderson R. Avila
2025	B	`conf`	Towards Robust Retrieval-Augmented Generation Based on Knowledge Graph: A Comparative Analysis. SMC Hazem Amamou, Stéphane Gagnon, Alan Davoust, Anderson R. Avila
2024	J	`jnl`	An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning. CoRR Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Boxing Chen, Tiago H. Falk
2024	J	`jnl`	Backdoor Attacks to Deep Neural Networks: A Survey of the Literature, Challenges, and Future Research Directions. IEEE Access Orson Mengara, Anderson R. Avila, Tiago H. Falk
2024	—	`conf`	TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models. WIFS Matheus Simão, Fabiano O. Costa Prado, Omar Abdul Wahab, Anderson R. Avila
2024	J	`jnl`	TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models. CoRR Matheus Simão, Fabiano O. Costa Prado, Omar Abdul Wahab, Anderson R. Avila
2024	Misc	`conf`	VIC-KD: Variance-Invariance-Covariance Knowledge Distillation to Make Keyword Spotting More Robust Against Adversarial Attacks. ICASSP Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Tiago H. Falk
2023	B	`conf`	A Max-Min Security Game for Coordinated Backdoor Attacks on Federated Learning. IEEE Big Data Omar Abdel Wahab, Anderson R. Avila
2023	J	`jnl`	An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild" Edge Applications. CoRR Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Tiago H. Falk
2023	B	`conf`	Assessing the Vulnerability of Self-Supervised Speech Representations for Keyword Spotting Under White-Box Adversarial Attacks. SMC Heitor R. Guimarães, Yi Zhu, Orson Mengara, Anderson R. Avila, Tiago H. Falk
2023	B	`conf`	How Secure is Code Generated by ChatGPT? SMC Raphaël Khoury, Anderson R. Avila, Jacob Brunelle, Baba Mamadou Camara
2023	J	`jnl`	How Secure is Code Generated by ChatGPT? CoRR Raphaël Khoury, Anderson R. Avila, Jacob Brunelle, Baba Mamadou Camara
2023	J	`jnl`	Multimodal Audio-textual Architecture for Robust Spoken Language Understanding. CoRR Anderson R. Avila, Mehdi Rezagholizadeh, Chao Xing
2023	J	`jnl`	On the Impact of Quantization and Pruning of Self-Supervised Speech Models for Downstream Speech Recognition Tasks "In-the-Wild". CoRR Arthur Pimentel, Heitor R. Guimarães, Anderson R. Avila, Mehdi Rezagholizadeh, Tiago H. Falk
2023	J	`jnl`	On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications. CoRR Vamsikrishna Chemudupati, Marzieh S. Tahaei, Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Boxing Chen, Tiago H. Falk
2023	J	`jnl`	RobustDistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness. CoRR Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Boxing Chen, Tiago H. Falk
2023	Misc	`conf`	Robustdistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness. ICASSP Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Boxing Chen, Tiago H. Falk
2023	J	`jnl`	VIC-KD: Variance-Invariance-Covariance Knowledge Distillation to Make Keyword Spotting More Robust Against Adversarial Attacks. CoRR Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Tiago H. Falk
2022	J	`jnl`	Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement. CoRR Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Tiago H. Falk
2022	A	`conf`	Low-bit Shift Network for End-to-End Spoken Language Understanding. INTERSPEECH Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen
2022	J	`jnl`	Low-bit Shift Network for End-to-End Spoken Language Understanding. CoRR Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen
2021	J	`jnl`	A Streaming End-to-End Framework For Spoken Language Understanding. CoRR Nihal Potdar, Anderson R. Avila, Chao Xing, Dong Wang, Yiran Cao, Xiao Chen
2021	J	`jnl`	Automatic speaker verification from affective speech using Gaussian mixture model based estimation of neutral speech characteristics. Speech Commun. Anderson R. Avila, Douglas D. O'Shaughnessy, Tiago H. Falk
2021	J	`jnl`	Feature Pooling of Modulation Spectrum Features for Improved Speech Emotion Recognition in the Wild. IEEE Trans. Affect. Comput. Anderson R. Avila, Zahid Akhtar, João Felipe Santos, Douglas D. O'Shaughnessy, Tiago H. Falk
2021	J	`jnl`	On the use of blind channel response estimation and a residual neural network to detect physical access attacks to speaker verification systems. Comput. Speech Lang. Anderson R. Avila, Jahangir Alam, Fabiano O. Costa Prado, Douglas D. O'Shaughnessy, Tiago H. Falk
2021	A	`conf`	Sequential End-to-End Intent and Slot Label Classification and Localization. Interspeech Yiran Cao, Nihal Potdar, Anderson R. Avila
2021	J	`jnl`	Sequential End-to-End Intent and Slot Label Classification and Localization. CoRR Yiran Cao, Nihal Potdar, Anderson R. Avila
2020	J	`jnl`	Non-intrusive speech quality prediction based on the blind estimation of clean speech and the i-vector framework. Qual. User Exp. Anderson R. Avila, Douglas D. O'Shaughnessy, Tiago H. Falk
2020	J	`jnl`	On the use of the i-vector speech representation for instrumental quality measurement. Qual. User Exp. Anderson R. Avila, Jahangir Alam, Douglas D. O'Shaughnessy, Tiago H. Falk
2019	A	`conf`	Blind Channel Response Estimation for Replay Attack Detection. INTERSPEECH Anderson R. Avila, Jahangir Alam, Douglas D. O'Shaughnessy, Tiago H. Falk
2019	B	`conf`	Intrusive Quality Measurement of Noisy and Enhanced Speech based on i-Vector Similarity. QoMEX Anderson R. Avila, Jahangir Alam, Douglas D. O'Shaughnessy, Tiago H. Falk
2019	Misc	`conf`	Non-intrusive Speech Quality Assessment Using Neural Networks. ICASSP Anderson R. Avila, Hannes Gamper, Chandan K. A. Reddy, Ross Cutler, Ivan Tashev, Johannes Gehrke
2019	J	`jnl`	Non-intrusive speech quality assessment using neural networks. CoRR Anderson R. Avila, Hannes Gamper, Chandan K. A. Reddy, Ross Cutler, Ivan Tashev, Johannes Gehrke
2019	—	`conf`	Speech-Based Stress Classification based on Modulation Spectral Features and Convolutional Neural Networks. EUSIPCO Anderson R. Avila, Shruti Rajendra Kshirsagar, Abhishek Tiwari, Daniel Lafond, Douglas D. O'Shaughnessy, Tiago H. Falk
2018	A	`conf`	Investigating Speech Enhancement and Perceptual Quality for Speech Emotion Recognition. INTERSPEECH Anderson R. Avila, Md. Jahangir Alam, Douglas D. O'Shaughnessy, Tiago H. Falk
2018	B	`conf`	Towards a Neuro-Inspired No-Reference Instrumental Quality Measure for Text-to-Speech Systems. QoMEX Rishabh Gupta, Anderson R. Avila, Tiago H. Falk
2017	—	`conf`	Speech emotion recognition on mobile devices based on modulation spectral feature pooling and deep neural networks. ISSPIT Anderson R. Avila, João Monteiro, Douglas D. O'Shaughnessy, Tiago H. Falk
2016	—	`conf`	Performance comparison of intrusive and non-intrusive instrumental quality measures for enhanced speech. IWAENC Anderson R. Avila, Benjamin Cauchi, Stefan Goetze, Simon Doclo, Tiago H. Falk
2014	A	`conf`	Improving the performance of far-field speaker verification using multi-condition training: the case of GMM-UBM and i-vector systems. INTERSPEECH Anderson R. Avila, Milton Orlando Sarria-Paja, Francisco J. Fraga, Douglas D. O'Shaughnessy, Tiago H. Falk