Introducing Data mining for Predicting trends in School Education of Pakistan: Preliminary results and Future Directions. - Muhammad Asim 005; Fahad Shamshad; Muhammad Awais 012; Ali Ahmed 004 (ICTD, 2017)

Solving Bilinear Inverse Problems using Deep Generative Priors. - Muhammad Asim 005; Fahad Shamshad; Ali Ahmed 004 (CoRR, 2018)

Robust Compressive Phase Retrieval via Deep Generative Priors. - Fahad Shamshad; Ali Ahmed 004 (CoRR, 2018)

Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising. - Fahad Shamshad; Muhammad Awais 012; Muhammad Asim 005; Zain ul Aabidin Lodhi; Muhammad Umair; Ali Ahmed 004 (CoRR, 2018)

Blind Image Deconvolution using Pretrained Generative Priors. - Muhammad Asim 005; Fahad Shamshad; Ali Ahmed 004 (BMVC, 2019)

Deep Ptych: Subsampled Fourier Ptychography Using Generative Priors. - Fahad Shamshad; Farwa Abbas; Ali Ahmed 004 (ICASSP, 2019)

Adaptive Ptych: Leveraging Image Adaptive Generative Priors for Subsampled Fourier Ptychography. - Fahad Shamshad; Asif Hanif; Farwa Abbas; Muhammad Awais 012; Ali Ahmed 004 (ICCV Workshops, 2019)

Sub-Nyquist Sampling of Sparse and Correlated Signals in Array Processing. - Ali Ahmed 004; Fahad Shamshad (CoRR, 2019)

Single-Shot Retinal Image Enhancement Using Deep Image Priors. - Adnan Qayyum; Waqas Sultani; Fahad Shamshad; Junaid Qadir 001; Rashid Tufail (MICCAI (5), 2020)

Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior. - Fahad Shamshad; Ali Ahmed 004 (CoRR, 2020)

Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors. - Fahad Shamshad; Asif Hanif; Ali Ahmed 004 (CoRR, 2020)

Towards an Adversarially Robust Normalization Approach. - Muhammad Awais; Fahad Shamshad; Sung-Ho Bae (CoRR, 2020)

Blind Image Deconvolution Using Deep Generative Priors. - Muhammad Asim 005; Fahad Shamshad; Ali Ahmed 004 (IEEE Trans. Computational Imaging, 2020)

Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors. - Adnan Qayyum; Waqas Sultani; Fahad Shamshad; Rashid Tufail; Junaid Qadir 001 (Comput. Biol. Medicine, 2022)

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search. - Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (CVPR, 2023)

Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. - Fahad Shamshad; Koushik Srivatsan; Karthik Nandakumar (CVPR, 2023)

Adversarial Attacks and Batch Normalization: A Batch Statistics Perspective. - Muhammad Awais; Fahad Shamshad; Sung-Ho Bae (IEEE Access, 2023)

Transformers in Speech Processing: A Survey. - Siddique Latif; Aun Zaidi; Heriberto Cuayáhuitl; Fahad Shamshad; Moazzam Shoukat; Junaid Qadir 001 (CoRR, 2023)

Sparks of Large Audio Models: A Survey and Outlook. - Siddique Latif; Moazzam Shoukat; Fahad Shamshad; Muhammad Usama; Yi Ren; Heriberto Cuayáhuitl; Wenwu Wang 001; Xulong Zhang 001; Roberto Togneri; Erik Cambria; Björn W. Schuller (CoRR, 2023)

A survey on deep reinforcement learning for audio-based applications. - Siddique Latif; Heriberto Cuayáhuitl; Farrukh Pervez; Fahad Shamshad; Hafiz Shehbaz Ali; Erik Cambria (Artif. Intell. Rev., 2023)

Untrained Neural Network Priors for Inverse Imaging Problems: A Survey. - Adnan Qayyum; Inaam Ilahi; Fahad Shamshad; Farid Boussaïd; Mohammed Bennamoun; Junaid Qadir 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Sub-Nyquist sampling of sparse and correlated signals in array processing. - Ali Ahmed 004; Fahad Shamshad; Humera Hameed (Digit. Signal Process., 2023)

Transformers in medical imaging: A survey. - Fahad Shamshad; Salman H. Khan 001; Syed Waqas Zamir; Muhammad Haris Khan; Munawar Hayat; Fahad Shahbaz Khan; Huazhu Fu (Medical Image Anal., 2023)

Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors. - Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (ECCV Workshops (22), 2024)

BAPLe: Backdoor Attacks on Medical Foundational Models Using Prompt Learning. - Asif Hanif; Fahad Shamshad; Muhammad Awais; Muzammal Naseer; Fahad Shahbaz Khan; Karthik Nandakumar; Salman H. Khan 001; Rao Muhammad Anwer (MICCAI (12), 2024)

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning. - Noor Hussein; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (MICCAI (12), 2024)

STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models. - Koushik Srivatsan; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar (CoRR, 2024)

Towards Evaluating the Robustness of Visual State Space Models. - Hashmat Shadab Malik; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar; Fahad Shahbaz Khan; Salman Khan 001 (CVPR Workshops, 2025)

STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models. - Koushik Srivatsan; Fahad Shamshad; Muzammal Naseer; Vishal M. Patel; Karthik Nandakumar (CVPR, 2025)

Parameter-Efficient Multimodal Adaptation for Certified Robustness of Medical Vision-Language Models. - Fahad Shamshad; Noor Hussein; Karthik Nandakumar (MIUA (1), 2025)

Transformers in speech processing: Overcoming challenges and paving the future. - Siddique Latif; Syed Aun Muhammad Zaidi; Heriberto Cuayáhuitl; Fahad Shamshad; Moazzam Shoukat; Muhammad Usama; Junaid Qadir 001 (Comput. Sci. Rev., 2025)

Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models. - Hashmat Shadab Malik; Fahad Shamshad; Muzammal Naseer; Karthik Nandakumar; Fahad Khan 001; Salman Khan 001 (CoRR, 2025)

FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing. - Mohammed Talha Alam; Fahad Shamshad; Fakhri Karray; Karthik Nandakumar (CoRR, 2025)