Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach. - Rajeev Sahay; Rehana Mahfuz; Aly El Gamal (CISS, 2019)

A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks. - Rajeev Sahay; Rehana Mahfuz; Aly El Gamal (CoRR, 2019)

Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks. - Rehana Mahfuz; Rajeev Sahay; Aly El Gamal (CoRR, 2020)

Mitigating Gradient-based Adversarial Attacks via Denoising and Compression. - Rehana Mahfuz; Rajeev Sahay; Aly El Gamal (CoRR, 2021)

Improving Audio Captioning Using Semantic Similarity Metrics. - Rehana Mahfuz; Yinyi Guo; Erik Visser (ICASSP, 2023)

Detecting False Alarms and Misses in Audio Captions. - Rehana Mahfuz; Yinyi Guo; Arvind Krishna Sridhar; Erik Visser (CoRR, 2023)

Parameter Efficient Audio Captioning with Faithful Guidance Using Audio-Text Shared Latent Representation. - Arvind Krishna Sridhar; Yinyi Guo; Erik Visser; Rehana Mahfuz (ICASSP, 2024)

Confidence Calibration for Audio Captioning Models. - Rehana Mahfuz; Yinyi Guo; Erik Visser (CoRR, 2024)