Aditya Gulati

Orcid: 0000-0002-0356-2987

According to our database1, Aditya Gulati authored at least 18 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Uncovering an Attractiveness Bias in Multimodal Large Language Models: A Case Study with LLaVA.
CoRR, April, 2025

When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces.
Proceedings of the European Workshop on Algorithmic Fairness, 2025

2024
The Beauty Survey.
Dataset, September, 2024

Cryptography in the Common Haar State Model: Feasibility Results and Separations.
IACR Cryptol. ePrint Arch., 2024

A Note on the Common Haar State Model.
IACR Cryptol. ePrint Arch., 2024

Pseudorandomness in the (Inverseless) Haar Random Oracle Model.
IACR Cryptol. ePrint Arch., 2024

Normalized Space Alignment: A Versatile Metric for Representation Analysis.
CoRR, 2024

Self-rationalization improves LLM as a fine-grained judge.
CoRR, 2024

Lookism: The overlooked bias in computer vision.
CoRR, 2024

What is Beautiful is Still Good: The Attractiveness Halo Effect in the era of Beauty Filters.
CoRR, 2024

Human Shape and Clothing Estimation.
CoRR, 2024

2023
Pseudorandom Isometries.
IACR Cryptol. ePrint Arch., 2023

2022
Pseudorandom (Function-Like) Quantum State Generators: New Definitions and Applications.
IACR Cryptol. ePrint Arch., 2022

2021
Task Complexity and Performance in Individuals and Groups Without Communication.
Proceedings of the Computational Theory of Mind for Human-Machine Teams, 2021

Interleaving Fast and Slow Decision Making.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

On Algorithms to Find p-ordering.
Proceedings of the Algorithms and Discrete Applied Mathematics, 2021

BIASeD: Bringing Irrationality into Automated System Design.
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

2020
Accelerating 2PC-based ML with Limited Trusted Hardware.
CoRR, 2020


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