Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field. - Shruti Agarwal; Haris I. Sair; Raag D. Airan; Jun Hua; Craig K. Jones; Hye-Young Heo; Alessandro Olivi; Martin A. Lindquist; James J. Pekar; Jay J. Pillai (Brain Connect., 2016)

Reporting of Resting-State Functional Magnetic Resonance Imaging Preprocessing Methodologies. - Syed Hamza Waheed; Saeedeh Mirbagheri; Shruti Agarwal; Arash Kamali; Noushin Yahyavi-Firouz-Abadi; Ammar Chaudhry; Michael DiGianvittorio; Sachin K. Gujar; Jay J. Pillai; Haris I. Sair (Brain Connect., 2016)

Deciphering Severely Degraded License Plates. - Shruti Agarwal; Du Tran; Lorenzo Torresani; Hany Farid (Media Watermarking, Security, and Forensics, 2017)

Photo forensics from JPEG dimples. - Shruti Agarwal; Hany Farid (WIFS, 2017)

Value of Frequency Domain Resting-State Functional Magnetic Resonance Imaging Metrics Amplitude of Low-Frequency Fluctuation and Fractional Amplitude of Low-Frequency Fluctuation in the Assessment of Brain Tumor-Induced Neurovascular Uncoupling. - Shruti Agarwal; Hanzhang Lu; Jay J. Pillai (Brain Connect., 2017)

The Resting-State Functional Magnetic Resonance Imaging Regional Homogeneity Metrics - Kendall's Coefficient of Concordance-Regional Homogeneity and Coherence-Regional Homogeneity - Are Valid Indicators of Tumor-Related Neurovascular Uncoupling. - Shruti Agarwal; Haris I. Sair; Jay J. Pillai (Brain Connect., 2017)

Dynamic Functional Connectivity States Between the Dorsal and Ventral Sensorimotor Networks Revealed by Dynamic Conditional Correlation Analysis of Resting-State Functional Magnetic Resonance Imaging. - Maleeha F. Syed; Martin A. Lindquist; Jay J. Pillai; Shruti Agarwal; Sachin K. Gujar; Ann S. Choe; Brian Caffo; Haris I. Sair (Brain Connect., 2017)

Rebroadcast Attacks: Defenses, Reattacks, and Redefenses. - Wei Fan; Shruti Agarwal; Hany Farid (EUSIPCO, 2018)

A Diverse Large-Scale Dataset for Evaluating Rebroadcast Attacks. - Shruti Agarwal; Wei Fan; Hany Farid (ICASSP, 2018)

Protecting World Leaders Against Deep Fakes. - Shruti Agarwal; Hany Farid; Yuming Gu; Mingming He; Koki Nagano; Hao Li 015 (CVPR Workshops, 2019)

Forensic Reconstruction of Severely Degraded License Plates. - Benedikt Lorch; Shruti Agarwal; Hany Farid (Media Watermarking, Security, and Forensics, 2019)

Functional Magnetic Resonance Imaging Activation Optimization in the Setting of Brain Tumor-Induced Neurovascular Uncoupling Using Resting-State Blood Oxygen Level-Dependent Amplitude of Low Frequency Fluctuations. - Shruti Agarwal; Haris I. Sair; Sachin K. Gujar; Jun Hua; Hanzhang Lu; Jay J. Pillai (Brain Connect., 2019)

Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches. - Shruti Agarwal; Hany Farid; Ohad Fried; Maneesh Agrawala (CVPR Workshops, 2020)

Photo Forensics From Rounding Artifacts. - Shruti Agarwal; Hany Farid (IH&MMSec, 2020)

Detecting Deep-Fake Videos from Appearance and Behavior. - Shruti Agarwal; Hany Farid; Tarek El-Gaaly; Ser-Nam Lim (WIFS, 2020)

Detecting Deep-Fake Videos From Aural and Oral Dynamics. - Shruti Agarwal; Hany Farid (CVPR Workshops, 2021)

A Multi-scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize the Eloquent Cortex in Brain Tumor Patients. - Naresh Nandakumar; Komal Manzoor; Shruti Agarwal; Jay J. Pillai; Sachin K. Gujar; Haris I. Sair; Archana Venkataraman (IPMI, 2021)

A Penalized Shared-parameter Algorithm for Estimating Optimal Dynamic Treatment Regimens. - Trikay Nalamada; Shruti Agarwal; Maria Jahja; Bibhas Chakraborty; Palash Ghosh (CoRR, 2021)

Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks. - Naresh Nandakumar; Komal Manzoor; Shruti Agarwal; Jay J. Pillai; Sachin K. Gujar; Haris I. Sair; Archana Venkataraman (Medical Image Anal., 2021)

RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis. - Naresh Nandakumar; Komal Manzoor; Shruti Agarwal; Haris I. Sair; Archana Venkataraman (MICCAI (1), 2022)

EKILA: Synthetic Media Provenance and Attribution for Generative Art. - Kar Balan; Shruti Agarwal; Simon Jenni; Andy Parsons; Andrew Gilbert; John P. Collomosse (CVPR Workshops, 2023)

RoSteALS: Robust Steganography using Autoencoder Latent Space. - Tu Bui; Shruti Agarwal; Ning Yu 006; John P. Collomosse (CVPR Workshops, 2023)

Revisiting Generalizability in Deepfake Detection: Improving Metrics and Stabilizing Transfer. - Sarthak Kamat; Shruti Agarwal; Trevor Darrell; Anna Rohrbach (ICCV (Workshops), 2023)

Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion. - Shruti Agarwal; Liwen Hu 001; Evonne Ng; Trevor Darrell; Hao Li 015; Anna Rohrbach (WACV, 2023)

An Evaluation of Forensic Facial Recognition. - Justin Norman; Shruti Agarwal; Hany Farid (CoRR, 2023)

TrustMark: Universal Watermarking for Arbitrary Resolution Images. - Tu Bui; Shruti Agarwal; John P. Collomosse (CoRR, 2023)

ProMark: Proactive Diffusion Watermarking for Causal Attribution. - Vishal Asnani; John P. Collomosse; Tu Bui; Xiaoming Liu 002; Shruti Agarwal (CVPR, 2024)

Self-Improving Diffusion Models with Synthetic Data. - Sina Alemohammad; Ahmed Imtiaz Humayun; Shruti Agarwal; John P. Collomosse; Richard G. Baraniuk (CoRR, 2024)

On the Coexistence and Ensembling of Watermarks. - Aleksandar Petrov; Shruti Agarwal; Philip H. S. Torr; Adel Bibi; John P. Collomosse (CoRR, 2025)

Your Text Encoder Can Be An Object-Level Watermarking Controller. - Naresh Kumar Devulapally; Mingzhen Huang; Vishal Asnani; Shruti Agarwal; Siwei Lyu; Vishnu Suresh Lokhande (CoRR, 2025)