Vinay Uday Prabhu

According to our database1, Vinay Uday Prabhu authored at least 26 papers between 2009 and 2024.

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Bibliography

2024
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

Into the LAIONs Den: Investigating Hate in Multimodal Datasets.
CoRR, 2023

On Hate Scaling Laws For Data-Swamps.
CoRR, 2023

Into the LAION's Den: Investigating Hate in Multimodal Datasets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Auditing saliency cropping algorithms.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
Multimodal datasets: misogyny, pornography, and malignant stereotypes.
CoRR, 2021

Large image datasets: A pyrrhic win for computer vision?
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks.
CoRR, 2020

2019
Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker.
CoRR, 2019

Deep Connectomics Networks: Neural Network Architectures Inspired by Neuronal Networks.
CoRR, 2019

Grassmannian Packings in Neural Networks: Learning with Maximal Subspace Packings for Diversity and Anti-Sparsity.
CoRR, 2019

Kannada-MNIST: A new handwritten digits dataset for the Kannada language.
CoRR, 2019

Covering up bias in CelebA-like datasets with Markov blankets: A post-hoc cure for attribute prior avoidance.
CoRR, 2019

Understanding Adversarial Robustness Through Loss Landscape Geometries.
CoRR, 2019

Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classification.
CoRR, 2019

A Seed-Augment-Train Framework for Universal Digit Classification.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018
On Lyapunov exponents and adversarial perturbation.
CoRR, 2018

2015
Network Aided Classification and Detection of Data
PhD thesis, 2015

2014
Latent sentiment detection in Online Social Networks: A communications-oriented view.
Proceedings of the IEEE International Conference on Communications, 2014

2011
On Wireless Channels With varepsilon-Outage Secrecy Capacity.
IEEE Trans. Inf. Forensics Secur., 2011

Filter design with secrecy constraints: The multiple-input multiple-output Gaussian wiretap channel with zero forcing receive filters.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
On Wireless Channels with M-Antenna Eavesdroppers: Characterization of the Outage Probability and Outage Secrecy Capacity.
Proceedings of the Global Communications Conference, 2010

2009
An Improved ESPRIT Based Time-of-Arrival Estimation Algorithm for Vehicular OFDM Systems.
Proceedings of the 69th IEEE Vehicular Technology Conference, 2009

An MSE-tunable linear estimator with conditional dominance over least-squares estimation.
Proceedings of the 2009 IEEE Information Theory Workshop, 2009


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