An MSE-tunable linear estimator with conditional dominance over least-squares estimation. - Vinay Uday Prabhu; Dimitris Toumpakaris (ITW, 2009)

An Improved ESPRIT Based Time-of-Arrival Estimation Algorithm for Vehicular OFDM Systems. - Vinay Uday Prabhu; Devendra Jalihal (VTC Spring, 2009)

On Wireless Channels with M-Antenna Eavesdroppers: Characterization of the Outage Probability and Outage Secrecy Capacity. - Vinay Uday Prabhu; Miguel R. D. Rodrigues (GLOBECOM, 2010)

Filter design with secrecy constraints: The multiple-input multiple-output Gaussian wiretap channel with zero forcing receive filters. - Hugo Reboredo; Vinay Uday Prabhu; Miguel R. D. Rodrigues; João M. F. Xavier (ICASSP, 2011)

On Wireless Channels With varepsilon-Outage Secrecy Capacity. - Vinay Uday Prabhu; Miguel R. D. Rodrigues (IEEE Trans. Inf. Forensics Secur., 2011)

Latent sentiment detection in Online Social Networks: A communications-oriented view. - Rohit Negi; Vinay Uday Prabhu; Miguel R. D. Rodrigues (ICC, 2014)

Network Aided Classification and Detection of Data - Vinay Uday Prabhu (2015)

On Lyapunov exponents and adversarial perturbation. - Vinay Uday Prabhu; Nishant Desai; John Whaley (CoRR, 2018)

A Seed-Augment-Train Framework for Universal Digit Classification. - Vinay Uday Prabhu; Sanghyun Han; Dian Ang Yap; Mihail Douhaniaris; Preethi Seshadri (DGS@ICLR, 2019)

Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classification. - Vinay Uday Prabhu; Sanghyun Han; Dian Ang Yap; Mihail Douhaniaris; Preethi Seshadri; John Whaley (CoRR, 2019)

Understanding Adversarial Robustness Through Loss Landscape Geometries. - Vinay Uday Prabhu; Dian Ang Yap; Joyce Xu; John Whaley (CoRR, 2019)

Covering up bias in CelebA-like datasets with Markov blankets: A post-hoc cure for attribute prior avoidance. - Vinay Uday Prabhu; Dian Ang Yap; Alexander Wang; John Whaley (CoRR, 2019)

Kannada-MNIST: A new handwritten digits dataset for the Kannada language. - Vinay Uday Prabhu (CoRR, 2019)

Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity. - Dian Ang Yap; Nicholas Roberts; Vinay Uday Prabhu (CoRR, 2019)

Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks. - Nicholas Roberts; Dian Ang Yap; Vinay Uday Prabhu (CoRR, 2019)

Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker. - Nicholas Roberts; Vinay Uday Prabhu; Matthew McAteer (CoRR, 2019)

Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks. - Bowen Jing; Vinay Uday Prabhu; Angela Gu; John Whaley (CoRR, 2020)

Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks (Student Abstract). - Bowen Jing; Vinay Uday Prabhu; Angela Gu; John Whaley (AAAI, 2021)

Large image datasets: A pyrrhic win for computer vision? - Abeba Birhane; Vinay Uday Prabhu (WACV, 2021)

Multimodal datasets: misogyny, pornography, and malignant stereotypes. - Abeba Birhane; Vinay Uday Prabhu; Emmanuel Kahembwe (CoRR, 2021)

Auditing saliency cropping algorithms. - Abeba Birhane; Vinay Uday Prabhu; John Whaley (WACV, 2022)

Into the LAION's Den: Investigating Hate in Multimodal Datasets. - Abeba Birhane; Vinay Uday Prabhu; Sanghyun Han; Vishnu Boddeti; Sasha Luccioni (NeurIPS, 2023)

On Hate Scaling Laws For Data-Swamps. - Abeba Birhane; Vinay Uday Prabhu; Sang Han; Vishnu Naresh Boddeti (CoRR, 2023)

Into the LAIONs Den: Investigating Hate in Multimodal Datasets. - Abeba Birhane; Vinay Uday Prabhu; Sang Han; Vishnu Naresh Boddeti; Alexandra Sasha Luccioni (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models. - Abeba Birhane; Sepehr Dehdashtian; Vinay Uday Prabhu; Vishnu Boddeti (FAccT, 2024)