Fahad Shamshad

Orcid: 0000-0003-2442-0475

According to our database1, Fahad Shamshad authored at least 40 papers between 2017 and 2026.

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Timeline

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Bibliography

2026
SafeDiffusion-R1: Online Reward Steering for Safe Diffusion Post-Training.
CoRR, May, 2026

Towards Calibrating Prompt Tuning of Vision-Language Models.
CoRR, February, 2026

RAVEN: Erasing Invisible Watermarks via Novel View Synthesis.
CoRR, January, 2026

2025
SPQR: A Standardized Benchmark for Modern Safety Alignment Methods in Text-to-Image Diffusion Models.
CoRR, November, 2025

Calibration-Aware Prompt Learning for Medical Vision-Language Models.
CoRR, September, 2025

First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge.
CoRR, August, 2025

Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models.
CoRR, February, 2025

Transformers in speech processing: Overcoming challenges and paving the future.
Comput. Sci. Rev., 2025

Parameter-Efficient Multimodal Adaptation for Certified Robustness of Medical Vision-Language Models.
Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025

FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing.
Proceedings of the IEEE International Joint Conference on Biometrics, 2025

TrojanWave: Exploiting Prompt Learning for Stealthy Backdoor Attacks on Large Audio-Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Towards Evaluating the Robustness of Visual State Space Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models.
CoRR, 2024

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

BAPLe: Backdoor Attacks on Medical Foundational Models Using Prompt Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023
Transformers in medical imaging: A survey.
Medical Image Anal., August, 2023

Sub-Nyquist sampling of sparse and correlated signals in array processing.
Digit. Signal Process., August, 2023

Untrained Neural Network Priors for Inverse Imaging Problems: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

A survey on deep reinforcement learning for audio-based applications.
Artif. Intell. Rev., March, 2023

Sparks of Large Audio Models: A Survey and Outlook.
CoRR, 2023

Transformers in Speech Processing: A Survey.
CoRR, 2023

Adversarial Attacks and Batch Normalization: A Batch Statistics Perspective.
IEEE Access, 2023

Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors.
Comput. Biol. Medicine, 2022

2020
Blind Image Deconvolution Using Deep Generative Priors.
IEEE Trans. Computational Imaging, 2020

Towards an Adversarially Robust Normalization Approach.
CoRR, 2020

Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors.
CoRR, 2020

Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior.
CoRR, 2020

Single-Shot Retinal Image Enhancement Using Deep Image Priors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Sub-Nyquist Sampling of Sparse and Correlated Signals in Array Processing.
CoRR, 2019

Adaptive Ptych: Leveraging Image Adaptive Generative Priors for Subsampled Fourier Ptychography.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Deep Ptych: Subsampled Fourier Ptychography Using Generative Priors.
Proceedings of the IEEE International Conference on Acoustics, 2019

Blind Image Deconvolution using Pretrained Generative Priors.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising.
CoRR, 2018

Robust Compressive Phase Retrieval via Deep Generative Priors.
CoRR, 2018

Solving Bilinear Inverse Problems using Deep Generative Priors.
CoRR, 2018

2017
Introducing Data mining for Predicting trends in School Education of Pakistan: Preliminary results and Future Directions.
Proceedings of the Ninth International Conference on Information and Communication Technologies and Development, 2017


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